[{"id":64,"date":"2026-09-05T20:58:24","date_gmt":"2026-09-05T20:58:24","guid":{"rendered":"https:\/\/blogs.vcu.edu\/mhrg\/?page_id=64"},"modified":"2026-09-05T20:58:24","modified_gmt":"2026-09-05T20:58:24","slug":"publications","status":"publish","type":"page","link":"https:\/\/blogs.vcu.edu\/mhrg\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n<div id=\"mhrg-publications-wide\" style=\"--mhrg-breakout:clamp(0px,calc(300vw - 3069px),51%);width:calc(100% + var(--mhrg-breakout));margin-left:calc(-1 * var(--mhrg-breakout))\">\n<div id=\"publication-sections\">\n<p style=\"font-size:1.05rem;line-height:1.6;margin:0 0 1.25rem;color:#444\">Browse research outputs from the Modern Heuristic Research Group by publication type. DOI links point to persistent publication records. Public PDF, preprint, and repository links are included only where a stable public copy has been identified.<\/p>\n<nav aria-label=\"Publication sections\" style=\"display:flex;flex-wrap:wrap;gap:.55rem;margin:0 0 2rem\">\n<a href=\"#journal\" style=\"display:inline-block;padding:.55rem .8rem;border:1px solid #d7d7d7;border-left:4px solid #ffb300;text-decoration:none;font-weight:700;background:#fff\">Journal Articles<\/a>\n<a href=\"#conferences\" style=\"display:inline-block;padding:.55rem .8rem;border:1px solid #d7d7d7;border-left:4px solid #ffb300;text-decoration:none;font-weight:700;background:#fff\">Conference Papers<\/a>\n<a href=\"#tutorials\" style=\"display:inline-block;padding:.55rem .8rem;border:1px solid #d7d7d7;border-left:4px solid #ffb300;text-decoration:none;font-weight:700;background:#fff\">Tutorials<\/a>\n<a href=\"#chapters\" style=\"display:inline-block;padding:.55rem .8rem;border:1px solid #d7d7d7;border-left:4px solid #ffb300;text-decoration:none;font-weight:700;background:#fff\">Book Chapters<\/a>\n<a href=\"#other\" style=\"display:inline-block;padding:.55rem .8rem;border:1px solid #d7d7d7;border-left:4px solid #ffb300;text-decoration:none;font-weight:700;background:#fff\">Posters &amp; Other Publications<\/a>\n<\/nav>\n<\/div>\n<section aria-labelledby=\"journal\">\n<h2 id=\"journal\" style=\"text-align:left;margin:2rem 0 1rem;padding-bottom:.45rem;border-bottom:3px solid #ffb300\">Journal Articles<\/h2>\n<p style=\"margin:.25rem 0 1.5rem;line-height:1.8\"><strong>Years:<\/strong> <a href=\"#journal-2026\">2026<\/a> \u00a0 <a href=\"#journal-2025\">2025<\/a> \u00a0 <a href=\"#journal-2024\">2024<\/a> \u00a0 <a href=\"#journal-2023\">2023<\/a> \u00a0 <a href=\"#journal-2022\">2022<\/a> \u00a0 <a href=\"#journal-2021\">2021<\/a> \u00a0 <a href=\"#journal-2020\">2020<\/a> \u00a0 <a href=\"#journal-2019\">2019<\/a> \u00a0 <a href=\"#journal-2018\">2018<\/a> \u00a0 <a href=\"#journal-2017\">2017<\/a> \u00a0 <a href=\"#journal-2016\">2016<\/a> \u00a0 <a href=\"#journal-2015\">2015<\/a> \u00a0 <a href=\"#journal-2014\">2014<\/a> \u00a0 <a href=\"#journal-2013\">2013<\/a> \u00a0 <a href=\"#journal-2012\">2012<\/a> \u00a0 <a href=\"#journal-2011\">2011<\/a> \u00a0 <a href=\"#journal-2009\">2009<\/a> \u00a0 <a href=\"#journal-2006\">2006<\/a> \u00a0 <a href=\"#journal-1999\">1999<\/a><\/p>\n<h3 id=\"journal-2026\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2026<\/h3>\n<article data-source-entry=\"2\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. De Silva, T. Kempitiya, N. Madhusanka, P. Rathnayaka, N. Mills, A. Jennings, and M. Manic, \u201c<strong>Multi-agent reinforcement learning with clustering and forecasting for optimized energy sharing in microgrids<\/strong>,\u201d <em>Journal of Computational and Cognitive Engineering<\/em>, vol. 5, no. 2, pp. 187\u2013201, 2026.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.47852\/bonviewJCCE62027858\" href=\"https:\/\/doi.org\/10.47852\/bonviewJCCE62027858\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.47852\/bonviewJCCE62027858\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/ojs.bonviewpress.com\/index.php\/JCCE\/article\/download\/7858\/1972\/50354\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<h3 id=\"journal-2025\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2025<\/h3>\n<article data-source-entry=\"3\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Wickramasinghe Brahmana CS, Marino D, De Silva D, and Manic M, <strong>Editorial: Machine learning for cybersecurity<\/strong>. <em>Frontiers in Artificial Intelligence<\/em>, vol. 8, Art. 1640609, 2025.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.3389\/frai.2025.1640609\" href=\"https:\/\/doi.org\/10.3389\/frai.2025.1640609\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.3389\/frai.2025.1640609\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/www.frontiersin.org\/journals\/artificial-intelligence\/articles\/10.3389\/frai.2025.1640609\/pdf\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<article data-source-entry=\"4\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">L. Gunasekara, N. El-Haber, S. Nagpal, H. Moraliyage, Z. Issadeen, M. Manic, and D. Silva, <strong>A Systematic Review of Responsible Artificial Intelligence Principles and Practice<\/strong>. 2025, in <em>Applied System Innovation<\/em>, vol. 8, Art. 97, Jul.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.3390\/asi8040097\" href=\"https:\/\/doi.org\/10.3390\/asi8040097\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.3390\/asi8040097\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/www.mdpi.com\/2571-5577\/8\/4\/97\/pdf\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<article data-source-entry=\"5\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">V. Cobilean, H. S. Mavikumbure, D. Drake, M. Stuart, and M. Manic, \u201c<strong>Investigating Membership Inference Attacks Against CNN Models for BCI Systems<\/strong>,\u201d <em>IEEE Journal of Biomedical and Health Informatics<\/em>, vol. 29, no. 11, pp. 8164\u20138174, 2025.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/JBHI.2025.3593443\" href=\"https:\/\/doi.org\/10.1109\/JBHI.2025.3593443\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/JBHI.2025.3593443\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"6\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Silva, S. Withanage, V. Sumanasena, L. Gunasekara, H. Moraliyage, N. Mills, and M. Manic, <strong>Robotic Motion Intelligence Using Vector Symbolic Architectures and Blockchain-Based Smart Contracts<\/strong>. 2025, in <em>Robotics<\/em>, vol. 14, Art. 38, Mar.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.3390\/robotics14040038\" href=\"https:\/\/doi.org\/10.3390\/robotics14040038\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.3390\/robotics14040038\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/www.mdpi.com\/2218-6581\/14\/4\/38\/pdf\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<article data-source-entry=\"7\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">H. Moraliyage, G. Kulawardana, D. Silva, Z. Issadeen, M. Manic, and S. Katsura, <strong>Explainable Artificial Intelligence with Integrated Gradients for the Detection of Adversarial Attacks on Text Classifiers<\/strong>. 2025, in <em>Applied System Innovation<\/em>, vol. 8, Art. 17, Jan.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.3390\/asi8010017\" href=\"https:\/\/doi.org\/10.3390\/asi8010017\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.3390\/asi8010017\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/www.mdpi.com\/2571-5577\/8\/1\/17\/pdf\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<article data-source-entry=\"8\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. L. Marino, C. S. Wickramasinghe, C. Rieger, and M. Manic, \u201c<strong>Self-Supervised and Interpretable Anomaly Detection Using Network Transformers<\/strong>,\u201d <em>IEEE Transactions on Industrial Informatics<\/em>, vol. 21, no. 5, pp. 4252\u20134261, 2025.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TII.2025.3534443\" href=\"https:\/\/doi.org\/10.1109\/TII.2025.3534443\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TII.2025.3534443\">DOI<\/a><a aria-label=\"Preprint PDF\" href=\"https:\/\/arxiv.org\/pdf\/2202.12997\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"Preprint PDF\">Preprint PDF<\/a><\/p><\/article>\n<article data-source-entry=\"9\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">L. Schorr, V. Cobilean, H. S. Mavikumbure, M. Manic, and R. L. Hadimani, \u201c<strong>Industrial workspace detection of a robotic arm using combined 2D and 3D vision processing<\/strong>,\u201d <em>The International Journal of Advanced Manufacturing Technology<\/em>, vol. 136, pp. 1317\u20131326, 2025.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1007\/s00170-024-14901-0\" href=\"https:\/\/doi.org\/10.1007\/s00170-024-14901-0\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1007\/s00170-024-14901-0\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00170-024-14901-0.pdf\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<h3 id=\"journal-2024\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2024<\/h3>\n<article data-source-entry=\"10\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">S. Kahawala, N. Madhusanka, D. De Silva, E. Osipov, N. Mills, M. Manic, and A. Jennings, \u201c<strong>Hypervector Approximation of Complex Manifolds for Artificial Intelligence Digital Twins in Smart Cities<\/strong>,\u201d <em>Smart Cities<\/em>, vol. 7, no. 6, pp. 3371\u20133387, 2024.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.3390\/smartcities7060131\" href=\"https:\/\/doi.org\/10.3390\/smartcities7060131\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.3390\/smartcities7060131\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/www.mdpi.com\/2624-6511\/7\/6\/131\/pdf\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<article data-source-entry=\"11\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. de Silva, O. Kaynak, M. El-Ayoubi, N. Mills, D. Alahakoon and M. Manic, &#8220;<strong>Opportunities and Challenges of Generative Artificial Intelligence: Research, Education, Industry Engagement, and Social Impact<\/strong>,&#8221; in <em>IEEE Industrial Electronics Magazine<\/em>, 2024 Sep 16.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/MIE.2024.3382962\" href=\"https:\/\/doi.org\/10.1109\/MIE.2024.3382962\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/MIE.2024.3382962\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"12\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. Samarajeewa, D. de Silva, M. Manic, N. Mills, H. Moraliyage, D. Alahakoon, A. Jennings, <strong>An artificial intelligence framework for explainable drift detection in energy forecasting<\/strong>, <em>Energy and AI<\/em>, Volume 17, 2024, 100403, ISSN 2666 5468, 2024 September.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1016\/j.egyai.2024.100403\" href=\"https:\/\/doi.org\/10.1016\/j.egyai.2024.100403\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1016\/j.egyai.2024.100403\">DOI<\/a><a aria-label=\"Repository PDF\" href=\"https:\/\/opal.latrobe.edu.au\/ndownloader\/files\/48875455\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"Repository PDF\">Repository PDF<\/a><\/p><\/article>\n<article data-source-entry=\"13\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">El-Haber N, Burnett D, Halford A, Stamp K, De Silva D, Manic M, Jennings A. <strong>A Lifecycle Approach for Artificial Intelligence Ethics in Energy Systems<\/strong>. <em>Energies<\/em>. 2024 Jul 20; 17(14):3572, 2024 Jul 20.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.3390\/en17143572\" href=\"https:\/\/doi.org\/10.3390\/en17143572\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.3390\/en17143572\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/www.mdpi.com\/1996-1073\/17\/14\/3572\/pdf\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<article data-source-entry=\"14\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Gamage G, De Silva D, Mills N, Alahakoon D, Manic M. <strong>Emotion AWARE: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis<\/strong>. <em>Journal of Big Data<\/em>. 2024 Jul 10; 11(1):93, 2024 Jul 10.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1186\/s40537-024-00953-2\" href=\"https:\/\/doi.org\/10.1186\/s40537-024-00953-2\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1186\/s40537-024-00953-2\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s40537-024-00953-2.pdf\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<article data-source-entry=\"15\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. Samarajeewa, D. De Silva, M. Manic, N. Mills, P. Rathnayaka and A. Jennings, &#8220;<strong>Explainable Artificial Intelligence for Crowd Forecasting Using Global Ensemble Echo State Networks<\/strong>,&#8221; in <em>IEEE Open Journal of the Industrial Electronics Society<\/em>, vol. 5, pp. 415-427, 2024 May 09.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/OJIES.2024.3397789\" href=\"https:\/\/doi.org\/10.1109\/OJIES.2024.3397789\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/OJIES.2024.3397789\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"16\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Mills, N., Issadeen, Z., Matharaarachchi, A., Bandaragoda, T., De Silva, D., Jennings, A., Manic, M., <strong>A cloud-based architecture for explainable Big Data analytics using self-structuring Artificial Intelligence<\/strong>. <em>Discov Artif Intell<\/em> 4, 33 (2024), 2024 May 09.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1007\/s44163-024-00123-6\" href=\"https:\/\/doi.org\/10.1007\/s44163-024-00123-6\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1007\/s44163-024-00123-6\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"17\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">H. S. Mavikumbure, V. Cobilean, C. S. Wickramasinghe, B. J. Varghese, B. Carlson, C. Rieger, T. D. Pennington, and M. Manic, \u201c<strong>Cy-Phy ADS: Cyber-Physical Anomaly Detection Framework for EV Charging Systems<\/strong>,\u201d <em>IEEE Transactions on Transportation Electrification<\/em>, vol. 10, no. 4, pp. 9904\u20139917, 2024.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TTE.2024.3363672\" href=\"https:\/\/doi.org\/10.1109\/TTE.2024.3363672\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TTE.2024.3363672\">DOI<\/a><a aria-label=\"Repository PDF\" href=\"https:\/\/www.osti.gov\/servlets\/purl\/2337436\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"Repository PDF\">Repository PDF<\/a><\/p><\/article>\n<h3 id=\"journal-2023\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2023<\/h3>\n<article data-source-entry=\"18\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">W.A. Misba, H.S. Mavikumbure, Md. M. Rajib, D. L. Marino, V. Cobilean, M. Manic, and J. 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S. Wickramasinghe, D. L. Marino, H. S. Mavikumbure, V. Cobilean, T. D. Pennington, B. J. Varghese, C. Rieger, and M. Manic, \u201c<strong>RX-ADS: Interpretable Anomaly Detection Using Adversarial ML for Electric Vehicle CAN Data<\/strong>,\u201d <em>IEEE Transactions on Intelligent Transportation Systems<\/em>, vol. 24, no. 12, pp. 14051\u201314063, 2023.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TITS.2023.3294349\" href=\"https:\/\/doi.org\/10.1109\/TITS.2023.3294349\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TITS.2023.3294349\">DOI<\/a><a aria-label=\"Preprint PDF\" href=\"https:\/\/arxiv.org\/pdf\/2209.02052\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"Preprint PDF\">Preprint PDF<\/a><\/p><\/article>\n<article data-source-entry=\"20\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Cobilean V, Mavikumbure HS, McBride BJ, Vaagensmith B, Singh VK, Li R, Rieger C, Manic M. <strong>A Review of Visualization Methods for Cyber-Physical Security: Smart Grid Case Study<\/strong>. <em>IEEE Access<\/em>. 2023 Jun 14.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ACCESS.2023.3286304\" href=\"https:\/\/doi.org\/10.1109\/ACCESS.2023.3286304\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ACCESS.2023.3286304\">DOI<\/a><a aria-label=\"Repository PDF\" href=\"https:\/\/www.nrel.gov\/docs\/fy23osti\/86961.pdf\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"Repository PDF\">Repository PDF<\/a><\/p><\/article>\n<article data-source-entry=\"21\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Siff L, Tsouvalas V, Bost LF, Manic M. <strong>Surgical teaching of the retropubic midurethral sling: a virtual reality training system<\/strong>. <em>International Urogynecology Journal<\/em>. 2023 Jan 24:1-3.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1007\/s00192-023-05448-x\" href=\"https:\/\/doi.org\/10.1007\/s00192-023-05448-x\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1007\/s00192-023-05448-x\">DOI<\/a><\/p><\/article>\n<h3 id=\"journal-2022\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2022<\/h3>\n<article data-source-entry=\"22\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Qing-Long Han, Milos Manic, \u201c<strong>Guest Editorial: Special Issue on resilient and secure approaches to control and estimation for cyber-physical systems<\/strong>,\u201d <em>ISA Transactions<\/em>, Volume 127, 2022, Pages 1-3, ISSN 0019-0578, Epub 2022 Jun 22. PMID: 35786515.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1016\/j.isatra.2022.06.018\" href=\"https:\/\/doi.org\/10.1016\/j.isatra.2022.06.018\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1016\/j.isatra.2022.06.018\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?arnumber=9895139\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<article data-source-entry=\"23\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Stuart, S. Lesaja, J. J. Shih, T. Schultz, M. Manic, and D. J. Krusienski, &#8220;<strong>An Interpretable Deep Learning Model for Speech Activity Detection Using Electrocorticographic Signals<\/strong>,&#8221; in <em>IEEE Transactions on Neural Systems and Rehabilitation Engineering<\/em>, vol. 30, pp. 2783-2792, 19 Sep. 2022.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TNSRE.2022.3207624\" href=\"https:\/\/doi.org\/10.1109\/TNSRE.2022.3207624\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TNSRE.2022.3207624\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?arnumber=9992205\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<article data-source-entry=\"24\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Lesaja S, Stuart M, Shih JJ, Soroush P, Schultz T, Manic M, Krusienski DJ. \u201c<strong>Self-Supervised Learning of Neural Speech Representations from Unlabeled Intracranial Signals<\/strong>,\u201d in <em>IEEE Access<\/em>, vol. 10, pp. 133526-133538, 2022, Date of Publication 19 Dec., 2022.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ACCESS.2022.3230688\" href=\"https:\/\/doi.org\/10.1109\/ACCESS.2022.3230688\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ACCESS.2022.3230688\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"25\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">H. Zhao, X. Sun, J. Dong, M. Manic, H. Zhou, and H. Yu, \u201c<strong>Dual discriminator adversarial distillation for data-free model compression<\/strong>,\u201d <em>International Journal of Machine Learning and Cybernetics<\/em>, vol. 13, no. 4, pp. 1213\u20131230, 2022.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1007\/s13042-021-01443-0\" href=\"https:\/\/doi.org\/10.1007\/s13042-021-01443-0\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1007\/s13042-021-01443-0\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"26\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">S. Vazquez, D. L. Marino*, Eduardo Zafra, M Valdes, J Rodriguez-Andina, L.G Franquelo, M. Manic, &#8220;<strong>An Artificial Intelligence Approach for Real-Time Tuning of Weighting Factors in FCS-MPC for Power Converters<\/strong>,&#8221; in <em>IEEE Transactions on Industrial Electronics<\/em>, vol. 69, Issue 12, pp. 11987-11998, Dec. 2022.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TIE.2021.3127046\" href=\"https:\/\/doi.org\/10.1109\/TIE.2021.3127046\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TIE.2021.3127046\">DOI<\/a><\/p><\/article>\n<h3 id=\"journal-2021\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2021<\/h3>\n<article data-source-entry=\"27\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. L. Marino, C. S. Wickramasinghe, B. Tsouvalas, C. Rieger and M. Manic, &#8220;<strong>Data-Driven Correlation of Cyber and Physical Anomalies for Holistic System Health Monitoring<\/strong>,&#8221; in <em>IEEE Access.<\/em><\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ACCESS.2021.3131274\" href=\"https:\/\/doi.org\/10.1109\/ACCESS.2021.3131274\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ACCESS.2021.3131274\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?arnumber=9627907\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<article data-source-entry=\"28\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. L. Marino, C. S. Wickramasinghe, V. K. Singh, J. Gentle, C. Rieger and M. Manic, &#8220;<strong>The Virtualized Cyber-Physical Testbed for Machine Learning Anomaly Detection: A Wind-Powered Grid Case Study<\/strong>,&#8221; in <em>IEEE Access<\/em>, vol. 9, pp. 159475-159494, 2021.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ACCESS.2021.3127169\" href=\"https:\/\/doi.org\/10.1109\/ACCESS.2021.3127169\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ACCESS.2021.3127169\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?arnumber=9611286\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<article data-source-entry=\"29\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. S. Wickramasinghe, K. Amarasinghe, D. L. Marino, C. Rieger, and M. Manic, &#8220;<strong>Explainable Unsupervised Machine Learning for Cyber-Physical Systems<\/strong>,&#8221; in <em>IEEE Access<\/em>, vol. 9, pp. 131824-131843, 2021.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ACCESS.2021.3112397\" href=\"https:\/\/doi.org\/10.1109\/ACCESS.2021.3112397\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ACCESS.2021.3112397\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?arnumber=9536751\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<article data-source-entry=\"30\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Lucia, J. Martins, Y. Ibrahim, K. Umetani, L. Gomes, E. Hiraki, H. Zeroug, M. Manic, \u201c<strong>Industrial Electronics Education: Past, Present, and Future Perspectives<\/strong>\u201d in <em>IEEE Industrial Electronics Magazine<\/em>, Vol. 15, Issue 1, pp. 140-154, Feb. 04, 2021.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/MIE.2020.3002488\" href=\"https:\/\/doi.org\/10.1109\/MIE.2020.3002488\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/MIE.2020.3002488\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"31\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Stuart and M. Manic, &#8220;<strong>Deep Learning Shared Bandpass Filters for Resource-Constrained Human Activity Recognition<\/strong>,&#8221; in <em>IEEE Access<\/em>, vol. 9, pp. 39089-39097, 2021.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ACCESS.2021.3064031\" href=\"https:\/\/doi.org\/10.1109\/ACCESS.2021.3064031\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ACCESS.2021.3064031\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?arnumber=9370103\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<article data-source-entry=\"32\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Marino and M. Manic, &#8220;<strong>Physics Enhanced Data-Driven Models with Variational Gaussian Processes<\/strong>,&#8221; in <em>IEEE Open Journal of the Industrial Electronics Society<\/em>, vol. 2, pp. 252-265, 2021.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/OJIES.2021.3064820\" href=\"https:\/\/doi.org\/10.1109\/OJIES.2021.3064820\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/OJIES.2021.3064820\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?arnumber=9373974\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<article data-source-entry=\"33\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. S. Wickramasinghe, D. L. Marino, and M. Manic, &#8220;<strong>ResNet Autoencoders for Unsupervised Feature Learning From High-Dimensional Data: Deep Models Resistant to Performance Degradation<\/strong>,&#8221; in <em>IEEE Access<\/em>, vol. 9, pp. 40511-40520, 2021.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ACCESS.2021.3064819\" href=\"https:\/\/doi.org\/10.1109\/ACCESS.2021.3064819\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ACCESS.2021.3064819\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?arnumber=9373350\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<article data-source-entry=\"34\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Vaagensmith, B.; Singh, V.K.; Ivans, R.; Marino, D.L.; Wickramasinghe, C.S.; Lehmer, J.; Phillips, T.; Rieger, C.; Manic, M. <strong>Review of Design Elements within Power Infrastructure Cyber\u2013Physical Test Beds as Threat Analysis Environments<\/strong>. <em>Energies<\/em> 2021, 14, 1409.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.3390\/en14051409\" href=\"https:\/\/doi.org\/10.3390\/en14051409\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.3390\/en14051409\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/www.mdpi.com\/1996-1073\/14\/5\/1409\/pdf\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<h3 id=\"journal-2020\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2020<\/h3>\n<article data-source-entry=\"35\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">X. Yan, Y. Ye, X. Qiu, M. Manic and H. Yu, &#8220;<strong>CMIB: Unsupervised Image Object Categorization in Multiple Visual Contexts<\/strong>,&#8221; in <em>IEEE Transactions on Industrial Informatics<\/em>, vol. 16, no. 6, pp. 3974-3986, June 2020.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TII.2019.2939278\" href=\"https:\/\/doi.org\/10.1109\/TII.2019.2939278\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TII.2019.2939278\">DOI<\/a><\/p><\/article>\n<h3 id=\"journal-2019\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2019<\/h3>\n<article data-source-entry=\"36\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Alfonso Damiano, Craig Rieger, Valeriy Vyatkin, Milos Manic, &#8220;<strong>Resilience in Energy Industries\u2014Recent Advances, Open Challenges, and Future Directions<\/strong>&#8221; in <em>IEEE Transactions on Industrial Informatics<\/em>, vol. 15, no. 7, pp. 4315-4318, July 2019.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TII.2019.2918383\" href=\"https:\/\/doi.org\/10.1109\/TII.2019.2918383\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TII.2019.2918383\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"37\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Daniel Marino, Milos Manic, &#8220;<strong>Modeling and Planning under Uncertainty using Deep Neural Networks<\/strong>&#8221; in <em>IEEE Transactions on Industrial Informatics<\/em>, vol. 15, no. 8, pp. 4442-4454, Aug. 2019. (VCU CS Outstanding Paper Award for Daniel L. Marino, 2020. Honored by $300 monetary award and a certificate)<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TII.2019.2917520\" href=\"https:\/\/doi.org\/10.1109\/TII.2019.2917520\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TII.2019.2917520\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"38\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Bishnu P. Bhattarai, Sumit Paudyal, Yusheng Luo, Manish Mohanpurkar, Kwok Cheung, Reinaldo Tonkoski, Rob Hovsapian, Kurt S. Myers, Rui Zhang, Power Zhao, Milos Manic, Song Zhang, Xiaping Zhang, &#8220;<strong>Big Data Analytics in Smart Grids: State-of-the-Art, Challenges, Opportunities, and Future Directions<\/strong>&#8221; in <em>IET Smart Grid<\/em>, vol. 2, no. 2, pp. 141-154, 6 2019.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1049\/iet-stg.2018.0261\" href=\"https:\/\/doi.org\/10.1049\/iet-stg.2018.0261\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1049\/iet-stg.2018.0261\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"39\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Chathurika S. Wickramasinghe, Kasun Amarasinghe, Milos Manic, &#8220;<strong>Deep Self-Organizing Maps for Unsupervised Image Classification<\/strong>&#8221; in <em>IEEE Transactions on Industrial Informatics<\/em>, vol. 15, no. 11, pp. 5837-5845, Nov. 2019. (VCU CS Outstanding Paper Award for Chathurika S. Wickramasinghe, 2019. Honored by $300 monetary award and a certificate)<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TII.2019.2906083\" href=\"https:\/\/doi.org\/10.1109\/TII.2019.2906083\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TII.2019.2906083\">DOI<\/a><\/p><\/article>\n<h3 id=\"journal-2018\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2018<\/h3>\n<article data-source-entry=\"40\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Deepak Kumbhare, Viktoras Palys, Jamie Toms, Chathurika Wickramasinghe, Kasun Amarasinghe, Milos Manic, Evan Hughes, Kathryn Lois Holloway, &#8220;<strong>Nucleus Basalis of Meynert stimulation for dementia: Theoretical and Technical considerations<\/strong>&#8221; in <em>Frontiers in Neuroscience 2018<\/em>, vol. 12, pp. 614.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.3389\/fnins.2018.00614\" href=\"https:\/\/doi.org\/10.3389\/fnins.2018.00614\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.3389\/fnins.2018.00614\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/www.frontiersin.org\/journals\/neuroscience\/articles\/10.3389\/fnins.2018.00614\/pdf\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<article data-source-entry=\"41\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">R. Fernandez Molanes, K. Amarasinghe, J. Rodriguez-Andina and M. Manic, &#8220;<strong>Deep Learning and Reconfigurable Platforms in the Internet of Things: Challenges and Opportunities in Algorithms and Hardware<\/strong>,&#8221; in <em>IEEE Industrial Electronics Magazine<\/em>, vol. 12, no. 2, pp. 36-49, June 2018.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/MIE.2018.2824843\" href=\"https:\/\/doi.org\/10.1109\/MIE.2018.2824843\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/MIE.2018.2824843\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"43\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">S. R. Pouri, M. Manic, and S. Phongikaroon, \u201c<strong>A novel framework for intelligent signal detection via artificial neural networks for cyclic voltammetry in pyroprocessing technology<\/strong>,\u201d <em>Annals of Nuclear Energy<\/em>, vol. 111, pp. 242\u2013254, 2018.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1016\/j.anucene.2017.09.002\" href=\"https:\/\/doi.org\/10.1016\/j.anucene.2017.09.002\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1016\/j.anucene.2017.09.002\">DOI<\/a><\/p><\/article>\n<h3 id=\"journal-2017\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2017<\/h3>\n<article data-source-entry=\"42\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">P. Tsvetkov, A. Cardenas, M. Manic, and J. Wilhelm, &#8220;<strong>Protection via cyber security event analysis framework using full-scope plant simulator capabilities<\/strong>&#8221; in <em>Transactions of the American Nuclear Society<\/em>, 2017.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"ANS program\" href=\"https:\/\/wx1.ans.org\/meetings\/file\/762\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"ANS program\">ANS program<\/a><\/p><\/article>\n<article data-source-entry=\"44\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. D. Valdes Pena, J. J. Rodriguez-Andina, M. Manic, \u201c<strong>The Internet of Things: The Role of Reconfigurable Platforms<\/strong>\u201d in <em>IEEE Industrial Electronics Magazine<\/em>, Vol. 11, Issue 3, pp. 6-19, Sep. 21, 2017.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/MIE.2017.2724579\" href=\"https:\/\/doi.org\/10.1109\/MIE.2017.2724579\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/MIE.2017.2724579\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"46\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">G. Navarro, D. K. Umberger, and M. Manic, \u201c<strong>VD-IT2: Virtual Disk Cloning on Disk Arrays Using a Type-2 Fuzzy Controller<\/strong>,\u201d <em>IEEE Transactions on Fuzzy Systems<\/em>, vol. 25, no. 6, pp. 1752\u20131764, 2017.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TFUZZ.2016.2633371\" href=\"https:\/\/doi.org\/10.1109\/TFUZZ.2016.2633371\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TFUZZ.2016.2633371\">DOI<\/a><\/p><\/article>\n<h3 id=\"journal-2016\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2016<\/h3>\n<article data-source-entry=\"45\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, K. Amarasinghe, J. J. Rodriguez-Andina, C. Rieger,\u201d <strong>Intelligent Buildings of the Future: Cyber aware, Deep Learning Powered, and Human Interacting<\/strong>,\u201d in <em>IEEE Industrial Electronics Magazine<\/em>, vol. 10, no. 4, pp. 32-49, Dec. 2016.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/MIE.2016.2615575\" href=\"https:\/\/doi.org\/10.1109\/MIE.2016.2615575\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/MIE.2016.2615575\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"47\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, D. Wijayasekara, K. Amarasinghe and J. J. Rodriguez-Andina, \u201c<strong>Building Energy Management Systems: The Age of Intelligent and Adaptive Buildings<\/strong>,\u201d in <em>IEEE Industrial Electronics Magazine<\/em>, vol. 10, no. 1, pp. 25-39, Spring 2016.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/MIE.2015.2513749\" href=\"https:\/\/doi.org\/10.1109\/MIE.2015.2513749\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/MIE.2015.2513749\">DOI<\/a><\/p><\/article>\n<h3 id=\"journal-2015\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2015<\/h3>\n<article data-source-entry=\"48\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Derr, M. Manic, \u201c<strong>Wireless Sensor Networks \u2013 Node Localization for Various Industry Problems<\/strong>,\u201d in <em>IEEE Transactions on Industrial Informatics<\/em>, vol. 11, no. 3, pp. 752-762, Jan. 2015.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TII.2015.2396007\" href=\"https:\/\/doi.org\/10.1109\/TII.2015.2396007\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TII.2015.2396007\">DOI<\/a><\/p><\/article>\n<h3 id=\"journal-2014\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2014<\/h3>\n<article data-source-entry=\"49\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, \u201c<strong>Integrated and Collaborative Building Energy Management System<\/strong>\u201d, <em>IEEE Smart Grid Newsletters<\/em>, 2014.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"Newsletter article\" href=\"https:\/\/resourcecenter.smartgrid.ieee.org\/publications\/newsletters\/SGNL0192.html\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"Newsletter article\">Newsletter article<\/a><\/p><\/article>\n<article data-source-entry=\"50\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Wijayasekara, O. Linda, M. Manic, and C. Rieger, \u201c<strong>FN-DFE: Fuzzy-Neural Data Fusion Engine for Enhanced Resilient State-Awareness of Hybrid Energy Systems<\/strong>,\u201d <em>IEEE Transactions on Cybernetics<\/em>, vol. 44, no. 11, pp. 2065\u20132075, 2014.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TCYB.2014.2323891\" href=\"https:\/\/doi.org\/10.1109\/TCYB.2014.2323891\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TCYB.2014.2323891\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"51\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Wijayasekara, O. Linda, M. Manic, C. Rieger, \u201c<strong>Mining Building Energy Management System Data Using Fuzzy Anomaly Detection and Linguistic Descriptions<\/strong>,\u201d in <em>IEEE Transactions on Industrial Informatics<\/em>, vol. 10, no. 3, pp. 1829-1840, 03 June 2014.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TII.2014.2328291\" href=\"https:\/\/doi.org\/10.1109\/TII.2014.2328291\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TII.2014.2328291\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"52\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">T. Vollmer, M. Manic, O. Linda, \u201c<strong>Autonomic Intelligent Cyber Sensor to Support Industrial Control Network Awareness<\/strong>,\u201d in <em>IEEE Transactions on Industrial Informatics<\/em>, vol. 10, no. 2, pp. 1647-1658, May 2014.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TII.2013.2270373\" href=\"https:\/\/doi.org\/10.1109\/TII.2013.2270373\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TII.2013.2270373\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"53\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">T. Vollmer, M. Manic, \u201c<strong>Cyber-Physical System Security with Deceptive Virtual Hosts for Industrial Control Networks<\/strong>,\u201d in <em>IEEE Transactions on Industrial Informatics<\/em>, vol. 10, no. 2, pp. 1337-1347, May 2014.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TII.2014.2304633\" href=\"https:\/\/doi.org\/10.1109\/TII.2014.2304633\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TII.2014.2304633\">DOI<\/a><\/p><\/article>\n<h3 id=\"journal-2013\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2013<\/h3>\n<article data-source-entry=\"54\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Derr, M. Manic, \u201c<strong>Adaptive Control Parameters for Dispersal of Multi-Agent Mobile Ad Hoc Network (MANET) Swarms<\/strong>,\u201d in <em>IEEE Transactions on Industrial Informatics<\/em>, vol. 9, no. 4, pp. 1900-1911, Nov. 2013.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TII.2012.2228870\" href=\"https:\/\/doi.org\/10.1109\/TII.2012.2228870\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TII.2012.2228870\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"55\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Derr, M. Manic, \u201c<strong>Wireless Sensor Network Configuration, Part II: Adaptive Coverage for Decentralized Algorithms<\/strong>,\u201d in <em>IEEE Transactions on Industrial Informatics<\/em>, vol. 9, no. 3, pp. 1728-1738, Aug. 2013.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TII.2013.2245907\" href=\"https:\/\/doi.org\/10.1109\/TII.2013.2245907\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TII.2013.2245907\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"56\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Derr, M. Manic, \u201c<strong>Wireless Sensor Network Configuration, Part I: Mesh Simplification for Centralized Algorithms<\/strong>,\u201d in <em>IEEE Transactions on Industrial Informatics<\/em>, vol. 9, no. 3, pp. 1717-1727, Aug. 2013.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TII.2013.2245906\" href=\"https:\/\/doi.org\/10.1109\/TII.2013.2245906\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TII.2013.2245906\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"57\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. Cobos, M. Mendoza, E. Leon, M. Manic, E. Herrera-Viedma, \u201c<strong>TopicSearch \u2013 Personalized Web Clustering Engine Using Semantic Query Expansion, Memetic Algorithms and Intelligent Agents<\/strong>,\u201d in <em>Polibits vol. 47<\/em>, pp. 33-46, Jan. 2013.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.17562\/PB-47-4\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/scielo.unam.mx\/pdf\/poli\/n47\/n47a5.pdf\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<h3 id=\"journal-2012\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2012<\/h3>\n<article data-source-entry=\"58\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, M. Manic, \u201c<strong>General Type-2 Fuzzy C-Means Algorithm for Uncertain Fuzzy Clustering<\/strong>,\u201d in <em>IEEE Transaction on Fuzzy Systems<\/em>, vol. 20, no. 5, pp. 883-897, Oct. 2012.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TFUZZ.2012.2187453\" href=\"https:\/\/doi.org\/10.1109\/TFUZZ.2012.2187453\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TFUZZ.2012.2187453\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"59\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, M. Manic, \u201c<strong>Monotone Centroid Flow Algorithm for Type-Reduction of General Type-2 Fuzzy Sets<\/strong>,\u201d in <em>IEEE Transaction on Fuzzy Systems<\/em>, vol. 20, no. 5, pp. 805-819, Oct. 2012.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TFUZZ.2012.2185502\" href=\"https:\/\/doi.org\/10.1109\/TFUZZ.2012.2185502\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TFUZZ.2012.2185502\">DOI<\/a><\/p><\/article>\n<h3 id=\"journal-2011\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2011<\/h3>\n<article data-source-entry=\"60\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Derr, M. Manic, \u201c<strong>Extended Virtual Spring Mesh (EVSM): The Distributed Self Organizing Mobile Ad Hoc Network for Area Exploration<\/strong>,\u201d in <em>IEEE Trans. on Industrial Electronics<\/em>, vol. 58, no. 12, pp. 5424-5437, Dec. 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TIE.2011.2130492\" href=\"https:\/\/doi.org\/10.1109\/TIE.2011.2130492\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TIE.2011.2130492\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"61\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, M. Manic, \u201c<strong>Uncertainty-Robust Design of Interval Type-2 Fuzzy Logic Controller for Delta Parallel Robot<\/strong>,\u201d in <em>IEEE Transaction on Industrial Informatics<\/em>, vol. 7, no. 4, pp. 661-671, Nov. 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TII.2011.2166786\" href=\"https:\/\/doi.org\/10.1109\/TII.2011.2166786\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TII.2011.2166786\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"62\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">G. Navarro, M. Manic, \u201c<strong>FuSnap: Fuzzy Control of Logical Volume Snapshot Replication for Disk Arrays<\/strong>,\u201d in <em>IEEE Trans. on Industrial Electronics<\/em>, vol. 58, no. 9, pp. 4436-4444, Sep. 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TIE.2010.2103531\" href=\"https:\/\/doi.org\/10.1109\/TIE.2010.2103531\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TIE.2010.2103531\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"63\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, M. Manic, \u201c<strong>Fuzzy Force-Feedback Augmentation for Manual Control of Multi-Robot System<\/strong>,\u201d in <em>IEEE Trans. on Industrial Electronics<\/em>, vol. 58, no. 8, pp. 3213-3220, Aug. 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TIE.2010.2068532\" href=\"https:\/\/doi.org\/10.1109\/TIE.2010.2068532\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TIE.2010.2068532\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"64\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, M. Manic, \u201c<strong>Self-Organizing Fuzzy Haptic Teleoperation of Mobile Robot Using Sparse Sonar Data<\/strong>,\u201d in <em>IEEE Trans. on Industrial Electronics<\/em>, vol. 58, no. 8, pp. 3187-3195, Aug. 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TIE.2009.2037649\" href=\"https:\/\/doi.org\/10.1109\/TIE.2009.2037649\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TIE.2009.2037649\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"65\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Wijayasekara, M. Manic, P. Sabharwall, V. Utgikar, \u201c<strong>Optimal artificial neural network architecture selection for performance prediction of compact heat exchanger with the EBaLM-OTR technique<\/strong>,\u201d in <em>Nuclear Engineering and Design<\/em>, vol. 241, no. 7, pp. 2549\u20132557, July 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1016\/j.nucengdes.2011.04.045\" href=\"https:\/\/doi.org\/10.1016\/j.nucengdes.2011.04.045\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1016\/j.nucengdes.2011.04.045\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"66\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, M. Manic, \u201c<strong>Interval Type-2 fuzzy voter design for fault tolerant systems<\/strong>,\u201d in <em>Information Sciences<\/em>, vol. 181, no. 14, pp. 2933-2950, July 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1016\/j.ins.2011.03.008\" href=\"https:\/\/doi.org\/10.1016\/j.ins.2011.03.008\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1016\/j.ins.2011.03.008\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"67\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, M. Manic, \u201c<strong>Online Spatio-Temporal Risk Assessment for Intelligent Transportation Systems<\/strong>,\u201d in <em>IEEE Trans. on Intelligent Transportation Systems<\/em>, vol. 12, no. 1, pp. 194-200, March 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/TITS.2010.2076807\" href=\"https:\/\/doi.org\/10.1109\/TITS.2010.2076807\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/TITS.2010.2076807\">DOI<\/a><\/p><\/article>\n<h3 id=\"journal-2009\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2009<\/h3>\n<article data-source-entry=\"68\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">A. Ridluan, M. Manic, A. Tokuhiro, \u201c<strong>EBaLM-THP-a neural network thermohydraulic prediction model of advanced nuclear system components<\/strong>,\u201d in <em>Nuclear Engineering and Design<\/em>, vol. 239, no. 2, pp. 308-319, Feb. 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1016\/j.nucengdes.2008.10.027\" href=\"https:\/\/doi.org\/10.1016\/j.nucengdes.2008.10.027\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1016\/j.nucengdes.2008.10.027\">DOI<\/a><\/p><\/article>\n<h3 id=\"journal-2006\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2006<\/h3>\n<article data-source-entry=\"69\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">R. Hiromoto, M. Manic, \u201c<strong>Information-Based Algorithmic Design of a Neural Network Classifier<\/strong>,\u201d <em>International Journal of Computing<\/em>, vol. 5, no. 3, pp. 87-98, 2006.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.47839\/ijc.5.3.412\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<h3 id=\"journal-1999\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">1999<\/h3>\n<article data-source-entry=\"70\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, D. Cvetkovic, \u201c<strong>Intelligibility Speech Estimation using Fuzzy Logic Inferencing<\/strong>,\u201d <em>Journal of Environment Protection<\/em>, vol. 1, no. 4, pp. 27-38, 1999.<\/p><\/article>\n<article data-source-entry=\"71\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, M. Prascevic, D. Cvetkovic, S. Milutinovic, \u201c<strong>Acoustic Comfort Optimization of Industrial Hale using Intelligent Technology<\/strong>,\u201d <em>Journal of Environment Protection<\/em>, vol. 1, no. 4, pp. 9-18, 1999.<\/p><\/article>\n<\/section>\n<section aria-labelledby=\"conferences\">\n<h2 id=\"conferences\" style=\"text-align:left;margin:2.5rem 0 1rem;padding-bottom:.45rem;border-bottom:3px solid #ffb300\">Conference Papers<\/h2>\n<p style=\"margin:.25rem 0 1.5rem;line-height:1.8\"><strong>Years:<\/strong> <a href=\"#conferences-2026\">2026<\/a> \u00a0 <a href=\"#conferences-2025\">2025<\/a> \u00a0 <a href=\"#conferences-2024\">2024<\/a> \u00a0 <a href=\"#conferences-2023\">2023<\/a> \u00a0 <a href=\"#conferences-2022\">2022<\/a> \u00a0 <a href=\"#conferences-2021\">2021<\/a> \u00a0 <a href=\"#conferences-2020\">2020<\/a> \u00a0 <a href=\"#conferences-2019\">2019<\/a> \u00a0 <a href=\"#conferences-2018\">2018<\/a> \u00a0 <a href=\"#conferences-2017\">2017<\/a> \u00a0 <a href=\"#conferences-2016\">2016<\/a> \u00a0 <a href=\"#conferences-2015\">2015<\/a> \u00a0 <a href=\"#conferences-2014\">2014<\/a> \u00a0 <a href=\"#conferences-2013\">2013<\/a> \u00a0 <a href=\"#conferences-2012\">2012<\/a> \u00a0 <a href=\"#conferences-2011\">2011<\/a> \u00a0 <a href=\"#conferences-2010\">2010<\/a> \u00a0 <a href=\"#conferences-2009\">2009<\/a> \u00a0 <a href=\"#conferences-2008\">2008<\/a> \u00a0 <a href=\"#conferences-2007\">2007<\/a> \u00a0 <a href=\"#conferences-2006-and-earlier\">2006 and Earlier<\/a><\/p>\n<h3 id=\"conferences-2026\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2026<\/h3>\n<article data-source-entry=\"72\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">S. Das, V. Cobilean, M. Essandoh, D. Drake, H. Sandun Mavikumbure, B. Aslani, S. Mohebbi, and M. Manic, <strong>Human-Supervised Agentic LLM Workflows for Industrial Cybersecurity: NIST-Aligned Task Mapping and Testbed Evaluation Criteria<\/strong>. <em>2026 18th International Conference on Human System Interaction (HSI)<\/em>, Sarajevo, Bosnia &amp; Herzegovina, 2026.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"ResearchGate\" href=\"https:\/\/www.researchgate.net\/publication\/410388531_Human-Supervised_Agentic_LLM_Workflows_for_Industrial_Cybersecurity_NIST-Aligned_Task_Mapping_and_Testbed_Evaluation_Criteria\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"ResearchGate\">ResearchGate<\/a><\/p><\/article>\n<h3 id=\"conferences-2025\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2025<\/h3>\n<article data-source-entry=\"73\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">H. Sandun Mavikumbure, V. Cobilean, S. Das, C. Wickramasinghe, D. Drake, D. Barton, L. Mcdaniel, C. Kirby, and M. Manic, <strong>KPU-Net: Kernal Point Unet for 3D LiDAR Ground Segmentation<\/strong>. <em>IECON 2025 \u2013 51st Annual Conference of the IEEE Industrial Electronics Society<\/em>, Madrid, Spain, 2025, pp. 1\u20138.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON58223.2025.11221256\" href=\"https:\/\/doi.org\/10.1109\/IECON58223.2025.11221256\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON58223.2025.11221256\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"74\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">S. Das, D. Drake, H. Sandun Mavikumbure, V. Cobilean, and M. Manic, <strong>Learning Beyond Labels: Self-Supervised Methods for Anomaly Detection in Cyber-Physical Systems<\/strong>. <em>IECON 2025 \u2013 51st Annual Conference of the IEEE Industrial Electronics Society<\/em>, Madrid, Spain, 2025.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON58223.2025.11221272\" href=\"https:\/\/doi.org\/10.1109\/IECON58223.2025.11221272\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON58223.2025.11221272\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"75\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Haputhanthri, C. Samarajeewa, D. Silva, M. Manic, N. Mills, H. Moraliyage, and A. Jennings, <strong>Generative AI Agents for Hyper Predictive Maintenance of Solar Energy Systems<\/strong>. <em>IECON 2025 \u2013 51st Annual Conference of the IEEE Industrial Electronics Society<\/em>, Madrid, Spain, 2025, pp. 1\u20136.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON58223.2025.11221450\" href=\"https:\/\/doi.org\/10.1109\/IECON58223.2025.11221450\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON58223.2025.11221450\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"76\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">I. Provatidis, V. Cobilean, K. Sandstr\u00f6m, and M. Behnam, <strong>Generative AI Multi-Agent System with Retrieval Augmented Generation for Real-Time Furnace Operation Support in Industrial Manufacturing<\/strong>. <em>IECON 2025 \u2013 51st Annual Conference of the IEEE Industrial Electronics Society<\/em>, Madrid, Spain, 2025, pp. 1\u20136.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON58223.2025.11221518\" href=\"https:\/\/doi.org\/10.1109\/IECON58223.2025.11221518\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON58223.2025.11221518\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"77\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Herath, C. Abeyrathne, S. Ganegoda, C. Seneviratne, and H. Sandun Mavikumbure, <strong>GAN-Driven Signal Denoising and Enhancement for Robust Drone Motor Detection<\/strong>. <em>IECON 2025 \u2013 51st Annual Conference of the IEEE Industrial Electronics Society<\/em>, Madrid, Spain, 2025.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON58223.2025.11221467\" href=\"https:\/\/doi.org\/10.1109\/IECON58223.2025.11221467\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON58223.2025.11221467\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"78\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Silva, N. Mills, Z. Issadeen, H. Moraliyage, A. Jennings, and M. Manic, <strong>Generative AI Vibe Coding for Prototyping Industrial Systems<\/strong>. <em>2025 IEEE 34th International Symposium on Industrial Electronics (ISIE)<\/em>, 2025, pp. 986\u2013991.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISIE62713.2025.11124737\" href=\"https:\/\/doi.org\/10.1109\/ISIE62713.2025.11124737\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISIE62713.2025.11124737\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"79\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">H. Sandun Mavikumbure, V. Cobilean, C. Wickramasinghe, D. Drake, and M. Manic, <strong>V2XFormer: Transformer-Based Anomaly Detection for Vehicle-to-Everything Communication<\/strong>. <em>2025 101st IEEE Vehicular Technology Conference (VTC2025-Spring)<\/em>, Oslo, Norway, 2025.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/VTC2025-Spring65109.2025.11174553\" href=\"https:\/\/doi.org\/10.1109\/VTC2025-Spring65109.2025.11174553\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/VTC2025-Spring65109.2025.11174553\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"80\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Drake, V. Cobilean, H. Sandun Mavikumbure, M. Stuart, S. Das, and M. Manic, <strong>GAP-CAN: Gradient-Based Adversarial Attack on Transformers for CAN Bus Anomaly Detection<\/strong>. <em>2025 IEEE 8th International Conference on Industrial Cyber-Physical Systems (ICPS)<\/em>, Emden, Germany, 2025.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ICPS65515.2025.11087840\" href=\"https:\/\/doi.org\/10.1109\/ICPS65515.2025.11087840\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ICPS65515.2025.11087840\">DOI<\/a><\/p><\/article>\n<h3 id=\"conferences-2024\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2024<\/h3>\n<article data-source-entry=\"81\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Drake, H. S. Mavikumbure, V. Cobilean, and M. Manic, &#8220;<strong>Cyber-Physical Security Trends of EV Charging Systems: A Survey<\/strong>,&#8221; <em>IECON 2024- 50th Annual Conference of the IEEE Industrial Electronics Society<\/em>, Chicago, USA, 2024.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON55916.2024.10906000\" href=\"https:\/\/doi.org\/10.1109\/IECON55916.2024.10906000\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON55916.2024.10906000\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"82\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Drake, V. Cobilean, H. S. Mavikumbure, M. Stuart and M. Manic, &#8220;<strong>Self-Attention Bottleneck Network for Self-Supervised Anomaly Detection in CAN Data<\/strong>,&#8221; <em>IECON 2024- 50th Annual Conference of the IEEE Industrial Electronics Society<\/em>, Chicago, USA, 2024.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON55916.2024.10905819\" href=\"https:\/\/doi.org\/10.1109\/IECON55916.2024.10905819\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON55916.2024.10905819\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"83\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">H. S. Mavikumbure, V. Cobilean, C. S. Wickramasinghe, D. Drake and M. Manic, &#8220;<strong>Generative AI in Cyber Security of Cyber Physical Systems: Benefits and Threats<\/strong>,&#8221; <em>2024 16th International Conference on Human System Interaction (HSI)<\/em>, Paris, France, 2024, pp. 1-8.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI61632.2024.10613562\" href=\"https:\/\/doi.org\/10.1109\/HSI61632.2024.10613562\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI61632.2024.10613562\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"84\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. Samarajeewa, D. De Silva, E. Osipov, D. Alahakoon and M. Manic, &#8220;<strong>Causal Reasoning in Large Language Models using Causal Graph Retrieval Augmented Generation<\/strong>,&#8221; <em>2024 16th International Conference on Human System Interaction (HSI)<\/em>, Paris, France, 2024, pp. 1-6.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI61632.2024.10613566\" href=\"https:\/\/doi.org\/10.1109\/HSI61632.2024.10613566\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI61632.2024.10613566\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"85\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Ranasinghe S, De Silva D, Mills N, Alahakoon D, Manic M, Lim Y, Ranasinghe W. <strong>Addressing the Productivity Paradox in Healthcare with Retrieval Augmented Generative AI Chatbots<\/strong>. In <em>2024 IEEE International Conference on Industrial Technology (ICIT)<\/em> 2024 Mar 25 (pp. 1-6). IEEE.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ICIT58233.2024.10540818\" href=\"https:\/\/doi.org\/10.1109\/ICIT58233.2024.10540818\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ICIT58233.2024.10540818\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"86\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Gamage G, Mills N, De Silva D, Manic M, Moraliyage H, Jennings A, Alahakoon D. <strong>Multi-Agent RAG Chatbot Architecture for Decision Support in Net-Zero Emission Energy Systems<\/strong>. In <em>2024 IEEE International Conference on Industrial Technology (ICIT)<\/em> 2024 Mar 25 (pp. 1-6). IEEE.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ICIT58233.2024.10540920\" href=\"https:\/\/doi.org\/10.1109\/ICIT58233.2024.10540920\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ICIT58233.2024.10540920\">DOI<\/a><\/p><\/article>\n<h3 id=\"conferences-2023\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2023<\/h3>\n<article data-source-entry=\"87\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">H. S. Mavikumbure, V. Cobilean, C. S. Wickramasinghe, B. J. Varghese, T. Pennington and M. Manic, &#8220;<strong>DAdAE: Domain Adversarial Autoencoder Based In-Vehicle CAN Anomaly Detection<\/strong>, &#8220;<em>IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society<\/em>, Singapore, Singapore, 2023, pp. 1-7.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON51785.2023.10312001\" href=\"https:\/\/doi.org\/10.1109\/IECON51785.2023.10312001\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON51785.2023.10312001\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"88\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">P. Rathnayaka, G. Gamage, D. De Silva, D. Alahakoon, and M. Manic, \u201c<strong>EmoZen: A Robust Word Embedding for Implicit and Explicit Expressions of Emotion<\/strong>,\u201d <em>49th Annual Conference of the IEEE Industrial Electronics Society (IECON)<\/em>, Singapore, pp. 1\u20134, 2023.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON51785.2023.10312470\" href=\"https:\/\/doi.org\/10.1109\/IECON51785.2023.10312470\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON51785.2023.10312470\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"89\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">V. Cobilean, H. S. Mavikumbure, C. S. Wickramasinghe, B. J. Varghese, T. Pennington and M. Manic, &#8220;<strong>Anomaly Detection for In-Vehicle Communication Using Transformers<\/strong>, &#8220;<em>IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society<\/em>, Singapore, Singapore, 2023, pp. 1-6.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON51785.2023.10311788\" href=\"https:\/\/doi.org\/10.1109\/IECON51785.2023.10311788\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON51785.2023.10311788\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"90\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Gihan Gamage, Sachin Kahawala, Nishan Mills, Daswin De Silva, Milos Manic, Damminda Alahakoon, and Andrew Jennings, &#8220;<strong>Augmenting Industrial Chatbots in Energy Systems using ChatGPT Generative AI<\/strong>, &#8221; <em>2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE)<\/em>, Helsinki, Finland, 2023, pp. 1-6.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISIE51358.2023.10228101\" href=\"https:\/\/doi.org\/10.1109\/ISIE51358.2023.10228101\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISIE51358.2023.10228101\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"91\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Harsha Moraliyage, Dilantha Haputhanthri, Chamod Samarajeewa, Nishan Mills, Daswin De Silva, Milos Manic, and Andrew Jennings, &#8220;<strong>Automated Machine Learning in Critical Energy Infrastructure for Net Zero Carbon Emissions<\/strong>, &#8221; <em>2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE)<\/em>, Helsinki, Finland, 2023, pp. 1-7.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISIE51358.2023.10227985\" href=\"https:\/\/doi.org\/10.1109\/ISIE51358.2023.10227985\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISIE51358.2023.10227985\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"92\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Lakshitha Gunasekara, Harsha Moraliyage, Daswin De Silva, Nishan Mills, Damminda Alahakoon, Andrew Jennings, and Milos Manic, &#8220;<strong>A Cybersecurity Framework for Home Energy Management Systems using Artificial Intelligence<\/strong>, &#8221; <em>2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE)<\/em>, Helsinki, Finland, 2023, pp. 1-6.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISIE51358.2023.10227961\" href=\"https:\/\/doi.org\/10.1109\/ISIE51358.2023.10227961\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISIE51358.2023.10227961\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"93\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Harindra S. Mavikumbure, Victor Cobilean, Chathurika S. Wickramasinghe, Tyler Phillips, Benny J. Varghese, Barney Carlson, Craig Rieger, Timothy Pennington, and Milos Manic, <strong>Physical Anomaly Detection in EV Charging Stations: Physics-based vs ResNet AE<\/strong>, <em>32nd International Symposium on Industrial Electronics (ISIE)<\/em>, Helsinki-Espoo, Finland.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISIE51358.2023.10228104\" href=\"https:\/\/doi.org\/10.1109\/ISIE51358.2023.10228104\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISIE51358.2023.10228104\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"94\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Daswin Silva, Nishan Mills, Mona El-Ayoubi, Milos Manic, Damminda Alahakoon, <strong>ChatGPT and Generative AI Guidelines for Addressing Academic Integrity and Augmenting Pre-Existing Chatbots<\/strong>. <em>2023 IEEE International Conference on Industrial Technology (ICIT)<\/em>, Orlando, FL, USA, 2023, pp. 1-6.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ICIT58465.2023.10143123\" href=\"https:\/\/doi.org\/10.1109\/ICIT58465.2023.10143123\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ICIT58465.2023.10143123\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"95\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Victor Cobilean, Harindra S. Mavikumbure, Chathurika S. Wickramasinghe, Daniel L. Marino, and Milos Manic, <strong>Informed Deep Learning for Anomaly Detection in Cyber-Physical Systems<\/strong>, <em>2023 IEEE International Conference on Industrial Technology (ICIT)<\/em>, Orlando, FL, USA, 2023, pp. 1-7.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ICIT58465.2023.10143126\" href=\"https:\/\/doi.org\/10.1109\/ICIT58465.2023.10143126\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ICIT58465.2023.10143126\">DOI<\/a><\/p><\/article>\n<h3 id=\"conferences-2022\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2022<\/h3>\n<article data-source-entry=\"96\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. De Silva, R. Nawaratne, J. Ruminski, A. Malinowski and M. Manic, &#8220;<strong>Human System Interaction in Review: Advancing the Artificial Intelligence Transformation<\/strong>,&#8221; <em>2022 15th International Conference on Human System Interaction (HSI)<\/em>, 2022, pp. 1-5.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI55341.2022.9869473\" href=\"https:\/\/doi.org\/10.1109\/HSI55341.2022.9869473\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI55341.2022.9869473\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"97\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">H. S. Mavikumbure, C. S. Wickramasinghe, D. L. Marino, V. Cobilean and M. Manic, &#8220;<strong>Anomaly Detection in Critical-Infrastructures using Autoencoders: A Survey<\/strong>, &#8220;<em>IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society<\/em>, 2022, pp. 1-7.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON49645.2022.9968505\" href=\"https:\/\/doi.org\/10.1109\/IECON49645.2022.9968505\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON49645.2022.9968505\">DOI<\/a><\/p><\/article>\n<h3 id=\"conferences-2021\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2021<\/h3>\n<article data-source-entry=\"98\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. S. Wickramasinghe, D. L. Marino, and M. Manic, \u201c<strong>Deep Embedded Clustering with ResNets<\/strong>,\u201d <em>14th International Conference on Human System Interaction (HSI)<\/em>, Poland, pp. 1\u20136, 2021.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI52170.2021.9538747\" href=\"https:\/\/doi.org\/10.1109\/HSI52170.2021.9538747\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI52170.2021.9538747\">DOI<\/a><\/p><\/article>\n<h3 id=\"conferences-2020\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2020<\/h3>\n<article data-source-entry=\"99\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">J. Ulrich, C. Rieger, J. Grandio and M. Manic, &#8220;<strong>Cyber-Physical Architecture for Automated Responses (CyPhAAR) Using SDN in Adversarial OT Environments<\/strong>,&#8221; <em>2020 Resilience Week (RWS)<\/em>, Salt Lake City, ID, USA, 2020, pp. 55-63.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/RWS50334.2020.9241285\" href=\"https:\/\/doi.org\/10.1109\/RWS50334.2020.9241285\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/RWS50334.2020.9241285\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"100\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Marino, J. Grandio, C. Wickramasinghe, K. Schroeder, K. Bourne, A.V. Filippas, and M. Manic, &#8220;<strong>AI Augmentation for Trustworthy AI: Augmented Robot Teleoperation<\/strong>&#8221; in <em>Proc. 13th International Conference on Human System Interaction<\/em>, IEEE HSI 2020, Tokyo, Japan, June 6-8. 2020.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI49210.2020.9142659\" href=\"https:\/\/doi.org\/10.1109\/HSI49210.2020.9142659\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI49210.2020.9142659\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"101\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. Wickramasinghe, D. Marino, J. Grandio, and M. Manic, \u201c<strong>Trustworthy AI Development Guidelines for Human System Interaction<\/strong>,\u201d in <em>Proc. 13th International Conference on Human System Interaction<\/em>, IEEE HSI 2020, Tokyo, Japan, June 6-8. 2020.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI49210.2020.9142644\" href=\"https:\/\/doi.org\/10.1109\/HSI49210.2020.9142644\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI49210.2020.9142644\">DOI<\/a><\/p><\/article>\n<h3 id=\"conferences-2019\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2019<\/h3>\n<article data-source-entry=\"102\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Daniel L. Marino, Chathurika S. Wickramasinghe, Kasun Amarasinghe, Hari Challa, Philip Richardson, Ananth A. Jillepalli, Brian K. Johnson, Craig Rieger, Milos Manic, &#8220;<strong>Cyber and Physical Anomaly Detection in Smart-Grids<\/strong>&#8220;, in <em>Proc. of the IEEE Resilience Week (RW) 2019<\/em>, San Antonio, TX, USA, Nov 4-7, 2019.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/RWS47064.2019.8972003\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"103\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Marino, C. Wickramasinghe, C. Rieger, and M. Manic, \u201c<strong>Data-Driven Stochastic Anomaly Detection on Smart-Grid Communications Using Mixture Poisson Distributions<\/strong>,\u201d <em>IECON 2019 \u2013 45th Annual Conference of the IEEE Industrial Electronics Society<\/em>, pp. 5855\u20135861, 2019.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/IECON.2019.8927060\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><a aria-label=\"INL record\" href=\"https:\/\/inl.elsevierpure.com\/en\/publications\/data-driven-stochastic-anomaly-detection-on-smart-grid-communicat\/\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"INL record\">INL record<\/a><\/p><\/article>\n<article data-source-entry=\"104\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. Wickramasinghe, K. Amarasinghe, D. Marino, Z. Spielman, I. Pray, D. Gertman, and M. Manic, \u201c<strong>Intelligent Driver System for Improving FuelEfficiency in Vehicle Fleets<\/strong>,\u201d in <em>Proc. 12th International Conference on Human System Interaction<\/em>, IEEE HSI 2019, Richmond VA, USA, June 25-27, 2019.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/HSI47298.2019.8942624\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"105\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Stuart, C. Wickramasinghe, D. Marino, D. Kumbhare, K. Holloway, and M. Manic, \u201c<strong>Machine Learning for Deep Brain Stimulation Efficacy Using Dense Array EEG<\/strong>,\u201d <em>2019 12th International Conference on Human System Interaction (HSI)<\/em>, pp. 143\u2013150, 2019.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/HSI47298.2019.8942619\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"106\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. Wickramasinghe, D. Marino, F. Yucel, E. Bulut, and M. Manic, \u201c<strong>Data-Driven Hourly Taxi Drop-Offs Prediction Using TLC Trip Record Data<\/strong>,\u201d <em>2019 12th International Conference on Human System Interaction (HSI)<\/em>, pp. 168\u2013173, 2019.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/HSI47298.2019.8942633\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><a aria-label=\"Author PDF\" href=\"https:\/\/ebulutvcu.github.io\/HSI19.pdf\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"Author PDF\">Author PDF<\/a><\/p><\/article>\n<article data-source-entry=\"107\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Amarasinghe, M. Manic, &#8220;<strong>Explaining What a Neural Network has Learned: Toward Explainable Classification<\/strong>&#8220;, in <em>IEEE International Conference on Fuzzy Systems<\/em>, FUZZ-IEEE 2019, New Orleans, Jun. 23-26, 2019.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/FUZZ-IEEE.2019.8858899\" href=\"https:\/\/doi.org\/10.1109\/FUZZ-IEEE.2019.8858899\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/FUZZ-IEEE.2019.8858899\">DOI<\/a><\/p><\/article>\n<h3 id=\"conferences-2018\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2018<\/h3>\n<article data-source-entry=\"108\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Amarasinghe, M. Manic, &#8220;<strong>Improving User Trust on Deep Neural Networks based Intrusion Detection Systems<\/strong>&#8221; in <em>Proc. 44th Annual Conference of the IEEE Industrial Electronics Society<\/em>, IECON 2018, Washington DC, USA, Oct. 21-23, 2018.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON.2018.8591322\" href=\"https:\/\/doi.org\/10.1109\/IECON.2018.8591322\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON.2018.8591322\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"109\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. Wickramasinghe, D. Marino, K. Amarasinghe, M. Manic, &#8220;<strong>Generalization of Deep Learning For Cyber-Physical System Security: A Survey<\/strong>&#8221; in <em>Proc. 44th Annual Conference of the IEEE Industrial Electronics Society<\/em>, IECON 2018, Washington DC, USA, Oct. 21-23, 2018.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON.2018.8591773\" href=\"https:\/\/doi.org\/10.1109\/IECON.2018.8591773\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON.2018.8591773\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"110\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Marino, C. Wickramasinghe, M. Manic, &#8220;<strong>An Adversarial Approach for Explainable AI in Intrusion Detection Systems<\/strong>&#8221; in <em>Proc. 44th Annual Conference of the IEEE Industrial Electronics Society<\/em>, IECON 2018, Washington DC, USA, Oct. 21-23, 2018.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON.2018.8591457\" href=\"https:\/\/doi.org\/10.1109\/IECON.2018.8591457\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON.2018.8591457\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"111\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Amarasinghe, C. Wickramasinghe, D. Marino, C.Rieger, M. Manic, &#8220;<strong>Framework for Data-Driven Health Monitoring of Cyber-Physical Systems<\/strong>&#8220;, <em>IEEE Resilience Week (RW) 2018<\/em>, Denver, CO, USA, Aug 20-23, 2018.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/RWEEK.2018.8473535\" href=\"https:\/\/doi.org\/10.1109\/RWEEK.2018.8473535\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/RWEEK.2018.8473535\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"112\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Amarasinghe, K. Kenney, and M. Manic, &#8220;<strong>Toward Explainable Deep Neural Network-based Anomaly Detection<\/strong>&#8220;, in <em>Proc. 11th International Conference on Human System Interaction<\/em>, IEEE HSI 2018, Gdansk, Poland, July 04-06, 2018.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2018.8430788\" href=\"https:\/\/doi.org\/10.1109\/HSI.2018.8430788\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2018.8430788\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"113\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Marino, M. Anderson, K. Kenney, and M. Manic, \u201c<strong>Interpretable data-driven modeling in biomass preprocessing<\/strong>,\u201d in <em>Proc. 11th International Conference on Human System Interaction<\/em>, IEEE HSI 2018, Gdansk, Poland, July 04-06, 2018.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2018.8431156\" href=\"https:\/\/doi.org\/10.1109\/HSI.2018.8431156\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2018.8431156\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"114\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. Wickramasinghe, K. Amarasinghe, D. Marino, and M. Manic, \u201c<strong>Deep Self-Organizing Maps for Visual Data Mining<\/strong>,\u201d in <em>Proc. 11th International Conference on Human System Interaction<\/em>, IEEE HSI 2018, Gdansk, Poland, July 04-06, 2018.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2018.8430845\" href=\"https:\/\/doi.org\/10.1109\/HSI.2018.8430845\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2018.8430845\">DOI<\/a><\/p><\/article>\n<h3 id=\"conferences-2017\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2017<\/h3>\n<article data-source-entry=\"115\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. Wickramasinghe, K. Amarasinghe, M. Manic, &#8220;<strong>Parallalizable Deep Self-Organizing Maps for Image Classification<\/strong>&#8220;, in <em>Proc. 2017 IEEE Symposium Series on Computational Intelligence<\/em>, IEEE SSCI 2017, Honolulu, Hawaii, USA, Nov, 27- Dec 1, 2017.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/SSCI.2017.8285443\" href=\"https:\/\/doi.org\/10.1109\/SSCI.2017.8285443\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/SSCI.2017.8285443\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"116\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Stuart, M. Manic, &#8220;<strong>Survey of Progress in Deep Neural Networks for Resource-Constrained Applications<\/strong>&#8220;, in <em>Proc. 43rd Annual Conference of the IEEE Industrial Electronics Society<\/em>, IEEE IECON 2017, Beijing, China, Oct. 29- Nov 1, 2017.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON.2017.8217271\" href=\"https:\/\/doi.org\/10.1109\/IECON.2017.8217271\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON.2017.8217271\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"117\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Marino, K. Amarasinghe, M. Anderson, N. Yancey, Q. Nguyen, K. Kenney, M. Manic, &#8220;<strong>Data-driven decision support for reliable biomass feedstock preprocessing<\/strong>&#8220;, <em>IEEE Resilience Week (RWS) 2017<\/em>, Wilmington, DE, USA, Sep, 18-22, 2017.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/RWEEK.2017.8088655\" href=\"https:\/\/doi.org\/10.1109\/RWEEK.2017.8088655\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/RWEEK.2017.8088655\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"118\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">H. J. Carey, K. Amarasinghe, M. Manic, &#8220;<strong>Reduction of Massive EEG Datasets for Epilepsy Analysis using Artificial Neural Networks<\/strong>&#8221; in <em>Proc. 10th International Conference on Human System Interaction<\/em>, IEEE HSI 2017, Ulsan, Republic of Korea, July, 17-19, 2017.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2017.8005015\" href=\"https:\/\/doi.org\/10.1109\/HSI.2017.8005015\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2017.8005015\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"119\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">P. Sivils, K. Amarasinghe, M. Anderson, N. Yancey, Q. Nguyen, K. Kenney, M. Manic, &#8220;<strong>Dynamic User Interfaces for Control Systems<\/strong>&#8221; in <em>Proc. 10th International Conference on Human System Interaction<\/em>, IEEE HSI 2017, Ulsan, Republic of Korea, July, 17-19, 2017.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2017.8005045\" href=\"https:\/\/doi.org\/10.1109\/HSI.2017.8005045\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2017.8005045\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"120\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Amarasinghe, D. Marino, M. Manic, &#8220;<strong>Deep learning for Energy Load Forecasting<\/strong>&#8221; in <em>Proc. 26th International Symposium on Industrial Electronics<\/em>, IEEE ISIE 2017, Edinburgh, Scotland, June, 19-21, 2017.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISIE.2017.8001465\" href=\"https:\/\/doi.org\/10.1109\/ISIE.2017.8001465\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISIE.2017.8001465\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"121\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Amarasinghe, D. Warncke, M. Manic, and D. S. Wijesinghe, \u201c<strong>Artificial Neural Networks Based Visual Data Mining for Clinical and Metabolomic Data<\/strong>,\u201d <em>abstract publication and poster<\/em>, Annual Conference of the American Society for Mass Spectrometry (ASMS), Indianapolis, IN, June 4\u20138, 2017.<\/p><\/article>\n<h3 id=\"conferences-2016\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2016<\/h3>\n<article data-source-entry=\"122\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Marino, K. Amarasinghe, M. Manic, &#8220;<strong>Simultaneous Generation-Classification Using LSTM<\/strong>,&#8221; in <em>Proc. 2016 IEEE Symposium Series on Computational Intelligence IEEE SSCI 2016<\/em>, Athens, Greece, Dec. 6-9, 2016.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/SSCI.2016.7850115\" href=\"https:\/\/doi.org\/10.1109\/SSCI.2016.7850115\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/SSCI.2016.7850115\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"123\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">S. R. Pouri, D. Wijayasekara, M. Manic, S. Phongikaroon, &#8220;<strong>Development of a Smart Signal Detection Method for Cyclic Voltammetry via Artificial Neural Intelligence<\/strong>,&#8221; <em>2016 American Nuclear Society Winter Meeting and Expo<\/em>, Las Vegas, NV, Nov. 6-10, 2016.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"ResearchGate\" href=\"https:\/\/www.researchgate.net\/publication\/313797353_Development_of_a_Smart_Signal_Detection_Method_for_Cyclic_Voltammetry_via_Artificial_Neural_Intelligence\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"ResearchGate\">ResearchGate<\/a><\/p><\/article>\n<article data-source-entry=\"124\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Marino, K. Amarasinghe, M. Manic, &#8220;<strong>Building Energy Load Forecasting using Deep Neural Networks<\/strong>,&#8221; <em>42nd Annual Conference of the IEEE Industrial Electronics Society<\/em>, IEEE IECON 2016, Florence, Italy, Oct. 24-27, 2016.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON.2016.7793413\" href=\"https:\/\/doi.org\/10.1109\/IECON.2016.7793413\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON.2016.7793413\">DOI<\/a><a aria-label=\"Preprint PDF\" href=\"https:\/\/arxiv.org\/pdf\/1610.09460\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"Preprint PDF\">Preprint PDF<\/a><\/p><\/article>\n<article data-source-entry=\"125\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">H. Carey, M. Manic, &#8220;<strong>Epileptic Spike Detection with EEG using Artificial Neural Networks<\/strong>,&#8221; in <em>Proc. of IEEE 9th International Conference on Human System Interaction<\/em>, IEEE HSI 2016, Portsmouth, England, July 6-8, 2016.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2016.7529614\" href=\"https:\/\/doi.org\/10.1109\/HSI.2016.7529614\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2016.7529614\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"126\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Amarasinghe, P. Sivils, M. Manic, &#8220;<strong>EEG Feature selection for Thought Driven Robots using Evolutionary Algorithms<\/strong>,&#8221; in <em>Proc. of IEEE 9th International Conference on Human System Interaction<\/em>, IEEE HSI 2016, Portsmouth, England, July 6-8, 2016.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2016.7529657\" href=\"https:\/\/doi.org\/10.1109\/HSI.2016.7529657\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2016.7529657\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"127\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Lee T. Ostrom, Kelly M. Verner, M. Manic, K. Amarasinghe, D. Wijayasekara, &#8220;<strong>Multi-Use High-Technology Testbed<\/strong>,&#8221; in <em>Proc. of IEEE 9th International Conference on Human System Interaction<\/em>, IEEE HSI 2016, Portsmouth, England, July 6-8, 2016.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2016.7529646\" href=\"https:\/\/doi.org\/10.1109\/HSI.2016.7529646\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2016.7529646\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"128\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">H. Carey, M. Manic, &#8220;<strong>HTML Web Content Extraction Using Paragraph Tags<\/strong>,&#8221; in <em>Proc. 25th International Symposium on Industrial Electronics<\/em>, IEEE ISIE 2016, Santa Clara, USA, June 8-10, 2016.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISIE.2016.7745047\" href=\"https:\/\/doi.org\/10.1109\/ISIE.2016.7745047\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISIE.2016.7745047\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"129\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Daniel L. Marino, M. Manic, &#8220;<strong>Fast Trajectory Simplification Algorithm for Natural User Interfaces in Robot Programming by Demonstration<\/strong>,&#8221; in <em>Proc. 25th International Symposium on Industrial Electronics<\/em>, IEEE ISIE 2016, Santa Clara, USA, June 8-10, 2016. (Student travel award for top technical paper quality, Honored by $2000 monetary award and a certificate).<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISIE.2016.7745011\" href=\"https:\/\/doi.org\/10.1109\/ISIE.2016.7745011\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISIE.2016.7745011\">DOI<\/a><\/p><\/article>\n<h3 id=\"conferences-2015\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2015<\/h3>\n<article data-source-entry=\"130\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Amarasinghe, D. Wijayasekara, H. Carey, M. Manic, D. He, W. Chen, &#8220;<strong>Artificial Neural Networks based Thermal Energy Storage Control for Buildings<\/strong>,&#8221; in <em>Proc. 41st Annual Conference of the IEEE Industrial Electronics Society<\/em>, IEEE IECON 2015, Yokohama, Japan, Nov. 09-12, 2015.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON.2015.7392953\" href=\"https:\/\/doi.org\/10.1109\/IECON.2015.7392953\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON.2015.7392953\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"131\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Wijayasekara, M. Manic, &#8220;<strong>Data-Fusion for Increasing Temporal Resolution of Building Energy Management System Data<\/strong>,&#8221; in <em>Proc. 41st Annual Conference of the IEEE Industrial Electronics Society<\/em>, IEEE IECON 2015, Yokohama, Japan, Nov. 09-12, 2015.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON.2015.7392809\" href=\"https:\/\/doi.org\/10.1109\/IECON.2015.7392809\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON.2015.7392809\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"132\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Amarasinghe, M. Manic, R. Hruska, &#8220;<strong>Optimal Stop Word Selection for Text Mining in Critical Infrastructure Domain<\/strong>,&#8221; in <em>Proc. IEEE Symposium on Resilience Control Systems<\/em>, ISRCS 2015, Philadelphia, PA, Aug. 18-20, 2015.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/RWEEK.2015.7287440\" href=\"https:\/\/doi.org\/10.1109\/RWEEK.2015.7287440\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/RWEEK.2015.7287440\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"133\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Wijayasekara, M. Manic, D. Gertman, &#8220;<strong>Data Driven Fuel Efficient Driving Behavior Feedback for Fleet Vehicles<\/strong>,&#8221; in <em>Proc. of IEEE 8th International Conference on Human System Interaction<\/em>, IEEE HSI 2015, Warsaw, Poland, June 25-27, 2015.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2015.7170646\" href=\"https:\/\/doi.org\/10.1109\/HSI.2015.7170646\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2015.7170646\">DOI<\/a><\/p><\/article>\n<h3 id=\"conferences-2014\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2014<\/h3>\n<article data-source-entry=\"134\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">V. Molano, C. Cobos, M. Mendoza, E. Herrera-Viedma, M. Manic, &#8220;<strong>Feature Selection based on Sampling and C4.5 Algorithm to Improve the Quality of Text Classification using Naive Bayes<\/strong>,&#8221; <em>13th Mexican International Conference on Artificial Intelligence<\/em>, MICAI 2014, Tuxtla Gutierrez, Chiapas, Mexico, Nov. 16-24, 2014.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1007\/978-3-319-13647-9_9\" href=\"https:\/\/doi.org\/10.1007\/978-3-319-13647-9_9\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1007\/978-3-319-13647-9_9\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"135\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Wijayasekara, M. Manic, &#8220;<strong>Dynamic Fuzzy Force Field Based Force-Feedback for Collision Avoidance in Robot Manipulators<\/strong>,&#8221; in <em>Proc. 40th Annual Conference of the IEEE Industrial Electronics Society<\/em>, IEEE IECON 2014, Dallas, TX- USA, Oct. 29 &#8211; Nov. 1, 2014.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON.2014.7049100\" href=\"https:\/\/doi.org\/10.1109\/IECON.2014.7049100\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON.2014.7049100\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"136\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Wijayasekara, M. Manic, M. McQueen, &#8220;<strong>Vulnerability Identification and Classification Via Text Mining Bug Databases<\/strong>,&#8221; in <em>Proc. 40th Annual Conference of the IEEE Industrial Electronics Society<\/em>, IEEE IECON 2014, Dallas, TX- USA, Oct. 29 &#8211; Nov. 1, 2014.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON.2014.7049035\" href=\"https:\/\/doi.org\/10.1109\/IECON.2014.7049035\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON.2014.7049035\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"137\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Wijayasekara, M. Manic, &#8220;<strong>Data Driven Fuzzy Membership Function Generation for Increased Understandability<\/strong>,&#8221; in <em>Proc. of FUZZ-IEEE<\/em>, 2014, within, IEEE World Congress On Computational Intelligence, WCCI 2014, Beijing, China, July 6-11, 2014.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/FUZZ-IEEE.2014.6891547\" href=\"https:\/\/doi.org\/10.1109\/FUZZ-IEEE.2014.6891547\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/FUZZ-IEEE.2014.6891547\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"138\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. McCarty, M. Manic, &#8220;<strong>Fuzzy Contexts (Type C) and Fuzzymorphism to Solve Situational Discontinuity Problems<\/strong>,&#8221; in <em>Proc. of FUZZ-IEEE<\/em>, 2014, within, IEEE World Congress On Computational Intelligence, WCCI 2014, Beijing, China, July 6-11, 2014.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/FUZZ-IEEE.2014.6891634\" href=\"https:\/\/doi.org\/10.1109\/FUZZ-IEEE.2014.6891634\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/FUZZ-IEEE.2014.6891634\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"139\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Wijayasekara, M. Manic, &#8220;<strong>Fuzzy Logic Based Force-Feedback for Obstacle Collision Avoidance of Robot Manipulators<\/strong>,&#8221; in <em>Proc. of IEEE 7th International Conference on Human System Interaction<\/em>, IEEE HSI 2014, Lisbon, Portugal, June 16-18, 2014.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2014.6860452\" href=\"https:\/\/doi.org\/10.1109\/HSI.2014.6860452\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2014.6860452\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"140\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Wijayasekara, M. Manic, D. Gertman, &#8220;<strong>Driving Behavior Prompting Framework for Improving Fuel Efficiency<\/strong>,&#8221; in <em>Proc. of IEEE 7th International Conference on Human System Interaction<\/em>, IEEE HSI 2014, Lisbon, Portugal, June 16-18, 2014.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2014.6860448\" href=\"https:\/\/doi.org\/10.1109\/HSI.2014.6860448\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2014.6860448\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"141\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Amarasinghe, D. Wijayasekara, M. Manic, &#8220;<strong>EEG based brain activity monitoring using Artificial Neural Networks<\/strong>,&#8221; in <em>Proc. of IEEE 7th International Conference on Human System Interaction<\/em>, IEEE HSI 2014, Lisbon, Portugal, June 16-18, 2014.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2014.6860449\" href=\"https:\/\/doi.org\/10.1109\/HSI.2014.6860449\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2014.6860449\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"142\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. McCarty, M. Manic, &#8220;<strong>A Database Driven Memetic Algorithm for Fuzzy Set Optimization<\/strong>,&#8221; in <em>Proc. of IEEE 7th International Conference on Human System Interaction<\/em>, IEEE HSI 2014, Lisbon, Portugal, June 16-18, 2014.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2014.6860443\" href=\"https:\/\/doi.org\/10.1109\/HSI.2014.6860443\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2014.6860443\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"143\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Amarasinghe, D. Wijayasekara, M. Manic, &#8220;<strong>Neural Network Based Downscaling of Building Energy Management System Data<\/strong>,&#8221; in <em>Proc. IEEE International Symposium on Industrial Electronics<\/em>, ISIE 2014, Istanbul, Turkey, June 1-4, 2014.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISIE.2014.6865042\" href=\"https:\/\/doi.org\/10.1109\/ISIE.2014.6865042\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISIE.2014.6865042\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"144\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, D. Wijayasekara, M. Manic, M. McQueen, &#8220;<strong>Optimal Placement of Phasor Measurement Units in Power Grids Using Memetic Algorithms<\/strong>,&#8221; in <em>Proc. IEEE International Symposium on Industrial Electronics<\/em>, ISIE 2014, Istanbul, Turkey, June 1-4, 2014.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISIE.2014.6864930\" href=\"https:\/\/doi.org\/10.1109\/ISIE.2014.6864930\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISIE.2014.6864930\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"145\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">H. Hess, V. Gupta, D. Wijayasekara, E. William, M. Huff, O. Linda, M. Krei, M. Manic, A. Thakker, F. Rufus, J. Govar, &#8220;<strong>State of Charge Indicator (SOCI) Design for Li\/CFx Battery<\/strong>&#8220;, in <em>Proc. 2014 Army Power Sources Conference<\/em>, pp. 1-6, Jun. 9-12, 2014.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"Proceedings\" href=\"https:\/\/www.proceedings.com\/content\/037\/037261webtoc.pdf\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"Proceedings\">Proceedings<\/a><\/p><\/article>\n<article data-source-entry=\"146\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, D. Wijayasekara, K. Amarasinghe, J. Hewlett, K. Handy, C. Becker, B. Patterson, R. Peterson, &#8220;<strong>Next Generation Emergency Communication Systems via Software Defined Networks<\/strong>,&#8221; in <em>Proc. GENI Research and Educational Experiment Workshop (GREE 2014) &#8211; Jointly with the 19th GENI Engineering Conference (GEC 19)<\/em>, Atlanta Georgia, Mar. 19-20 2014.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/GREE.2014.26\" href=\"https:\/\/doi.org\/10.1109\/GREE.2014.26\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/GREE.2014.26\">DOI<\/a><\/p><\/article>\n<h3 id=\"conferences-2013\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2013<\/h3>\n<article data-source-entry=\"147\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">U. Ravishankar, M. Manic, C. Rieger, &#8220;<strong>A Micro-Grid Simulator Tool (SGridSim) using Effective Node-to-Node Complex Impedance (EN2NCI) Models<\/strong>,&#8221; in <em>Proc. IEEE Symposium on Resilience Control Systems<\/em>, ISRCS 2013, San Francisco, California, Aug. 13-15, 2013.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISRCS.2013.6623761\" href=\"https:\/\/doi.org\/10.1109\/ISRCS.2013.6623761\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISRCS.2013.6623761\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"148\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Wijayasekara, M. Manic, C. Rieger, &#8220;<strong>Fuzzy Linguistic Knowledge Based Behavior Extraction for Building Energy Management Systems<\/strong>,&#8221; in <em>Proc. IEEE Symposium on Resilience Control Systems<\/em>, ISRCS 2013, San Francisco, California, Aug. 13-15, 2013.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISRCS.2013.6623755\" href=\"https:\/\/doi.org\/10.1109\/ISRCS.2013.6623755\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISRCS.2013.6623755\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"149\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. Cobos, M. Mendoza, M. Manic, E. Leon, E. Herrera-Viedma, &#8220;<strong>Clustering of web search results based on an Iterative Fuzzy C-means Algorithm and Bayesian Information Criterion<\/strong>,&#8221; in <em>Proc. of 2013 Joint IFSA World Congress and NAFIPS Annual Meeting<\/em>, pp. 507-512, June 24-28, 2013.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/IFSA-NAFIPS.2013.6608452\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"150\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Wijayasekara, M. Manic, M. McQueen, &#8220;<strong>Information Gain Based Dimensionality Selection for Classifying Text Documents<\/strong>,&#8221; in <em>Proc. of IEEE Congress on Evolutionary Computation<\/em>, IEEE CEC 2013, Cancun, Mexico, June 20-23, 2013.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/CEC.2013.6557602\" href=\"https:\/\/doi.org\/10.1109\/CEC.2013.6557602\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/CEC.2013.6557602\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"151\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. McCarty, M. Manic, &#8220;<strong>A Fuzzy Framework with Modeling Language for Type 1 and Type 2 Application Development<\/strong>,&#8221; in <em>Proc. of IEEE 6th International Conference on Human System Interaction<\/em>, IEEE HSI 2013, Gdansk, Poland, June 6-8, 2013.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2013.6577844\" href=\"https:\/\/doi.org\/10.1109\/HSI.2013.6577844\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2013.6577844\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"152\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Wijayasekara, M. Manic, &#8220;<strong>Human Machine Interaction via Brain Activity Monitoring<\/strong>,&#8221; in <em>Proc. of IEEE 6th International Conference on Human System Interaction<\/em>, IEEE HSI 2013, Gdansk, Poland, June 6-8, 2013.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2013.6577809\" href=\"https:\/\/doi.org\/10.1109\/HSI.2013.6577809\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2013.6577809\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"153\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, A. Giani, M. Manic, M. McQueen, &#8220;<strong>Multi-Criteria Based Staging of Optimal PMU Placement using Fuzzy Weighted Average<\/strong>,&#8221; in <em>Proc. of IEEE International Symposium on Industrial Electronics<\/em>, IEEE ISIE 2013, Taipei, Taiwan, May 28-31, 2013.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISIE.2013.6563646\" href=\"https:\/\/doi.org\/10.1109\/ISIE.2013.6563646\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISIE.2013.6563646\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"154\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Wijayasekara, O. Linda, and M. Manic, \u201c<strong>Shadowed Type-2 Fuzzy Logic Systems<\/strong>,\u201d <em>IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ)<\/em>, Singapore, pp. 15\u201322, 2013. (Best Paper Award)<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/T2FZZ.2013.6613294\" href=\"https:\/\/doi.org\/10.1109\/T2FZZ.2013.6613294\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/T2FZZ.2013.6613294\">DOI<\/a><\/p><\/article>\n<h3 id=\"conferences-2012\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2012<\/h3>\n<article data-source-entry=\"155\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">U. Ravishankar, M. Manic, &#8220;<strong>Iterative Learning Heuristic Dynamic Programming (ILHDP) design of a Steam Power Plant Controller<\/strong>,&#8221; in <em>Proc. 38th Annual Conference of the IEEE Industrial Electronics Society<\/em>, IEEE IECON 2012, Montreal, Canada, Oct. 25-28, 2012.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON.2012.6388542\" href=\"https:\/\/doi.org\/10.1109\/IECON.2012.6388542\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON.2012.6388542\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"156\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Jankovic, M. Manic, B. Reljin, &#8220;<strong>Probabilistic Model for Minor Component Analysis Based on Born Rule<\/strong>,&#8221; in <em>Proc. 11th Symposium on Neural Network Applications in Electrical Engineering<\/em>, NEUREL&#8217;12, Belgrade, Serbia, Sep. 20-22, 2012.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/NEUREL.2012.6419971\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"157\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, M. Manic, M. McQueen, &#8220;<strong>Improving Control System Cyber-State Awareness using Known Secure Sensor Measurements<\/strong>,&#8221; in <em>Proc. 7th International Conference on Critical Information Infrastructure Security<\/em>, CRITIS 2012, Lillehammer, Norway, Sep. 17-18, 2012.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1007\/978-3-642-41485-5_5\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"158\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">J. D. Hewlett, M. Manic, C. G. Rieger, &#8220;<strong>WESBES: A wireless embedded sensor for improving human comfort metrics using temporospatially correlated data<\/strong>,&#8221; in <em>Proc. IEEE Symposium on Resilience Control Systems<\/em>, ISRCS 2012, Salt Lake City, Utah, Aug. 14-16, 2012.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISRCS.2012.6309289\" href=\"https:\/\/doi.org\/10.1109\/ISRCS.2012.6309289\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISRCS.2012.6309289\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"159\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, T. Vollmer, M. Manic, &#8220;<strong>Improving Cyber-Security of Smart Grid Systems via Anomaly Detection and Linguistic Domain Knowledge<\/strong>,&#8221; in <em>Proc. IEEE Symposium on Resilience Control Systems<\/em>, ISRCS 2012, Salt Lake City, Utah, Aug. 14-16, 2012.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISRCS.2012.6309292\" href=\"https:\/\/doi.org\/10.1109\/ISRCS.2012.6309292\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISRCS.2012.6309292\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"160\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, D. Wijayasekara, M. Manic, C. Rieger, &#8220;<strong>Computational Intelligence based Anomaly Detection for Building Energy Management Systems<\/strong>,&#8221; in <em>Proc. IEEE Symposium on Resilience Control Systems<\/em>, ISRCS 2012, Salt Lake City, Utah, Aug. 14-16, 2012.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISRCS.2012.6309297\" href=\"https:\/\/doi.org\/10.1109\/ISRCS.2012.6309297\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISRCS.2012.6309297\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"161\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">V. Gupta, D. Taylor, M. Huff, E. J. Williams, H. Hess, O. Linda, M. Krei, M. Manic, A. Thakker, F. Rufus, &#8220;<strong>Design of a State of Charge Indicator (SOCI) for Lithium polycarbon monofluoride (LiCFx) Batteries<\/strong>,&#8221; in <em>Proc. 45th Power Sources Conference<\/em>, Las Vegas, Nevada, June 11-14, 2012.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"Proceedings\" href=\"https:\/\/www.proceedings.com\/content\/021\/021746webtoc.pdf\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"Proceedings\">Proceedings<\/a><\/p><\/article>\n<article data-source-entry=\"162\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, M. Manic, &#8220;<strong>On the Accuracy of Input-Output Uncertainty Modeling with Interval Type-2 Fuzzy Logic Systems<\/strong>,&#8221; in <em>Proc. of FUZZ-IEEE<\/em>, 2012, within, IEEE World Congress On Computational Intelligence, WCCI 2012, Brisbane, Australia, June 10-15, 2012.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/FUZZ-IEEE.2012.6251287\" href=\"https:\/\/doi.org\/10.1109\/FUZZ-IEEE.2012.6251287\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/FUZZ-IEEE.2012.6251287\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"163\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, M. Manic, &#8220;<strong>Shadowed Type-2 Fuzzy Sets &#8211; Type-2 Fuzzy Sets with Shadowed Secondary Membership Functions<\/strong>,&#8221; in <em>Proc. of FUZZ-IEEE<\/em>, 2012, within, IEEE World Congress On Computational Intelligence, WCCI 2012, Brisbane, Australia, June 10-15, 2012.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/FUZZ-IEEE.2012.6251299\" href=\"https:\/\/doi.org\/10.1109\/FUZZ-IEEE.2012.6251299\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/FUZZ-IEEE.2012.6251299\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"164\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Wijayasekara, M. Manic, &#8220;<strong>Visual, Linguistic Data Mining Using Self-Organizing Maps<\/strong>,&#8221; in <em>Proc. of Intl. Joint Conference on Neural Networks<\/em>, IJCNN 2012, within, IEEE World Congress On Computational Intelligence, WCCI 2012, Brisbane, Australia, June 10-15, 2012.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IJCNN.2012.6252436\" href=\"https:\/\/doi.org\/10.1109\/IJCNN.2012.6252436\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IJCNN.2012.6252436\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"165\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">U. Ravishankar, M. Manic, &#8220;<strong>The Adaptive Critic Learning Agent (ACLA) Algorithm: Towards Problem Independent Neural Network based Optimizers<\/strong>,&#8221; in <em>Proc. of Intl. Joint Conference on Neural Networks<\/em>, IJCNN 2012, within, IEEE World Congress On Computational Intelligence, WCCI 2012, Brisbane, Australia, June 10-15, 2012.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IJCNN.2012.6252475\" href=\"https:\/\/doi.org\/10.1109\/IJCNN.2012.6252475\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IJCNN.2012.6252475\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"166\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Wijayasekara, M. Manic, J. L. Wright, M. McQueen &#8220;<strong>Mining Bug Databases for Unidentified Software Vulnerabilities<\/strong>,&#8221; in <em>Proc. of the 5th Intl. IEEE Intl. Conference on Human System Interaction<\/em>, HSI 2012, Perth, Australia, June 6-8, 2012.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2012.22\" href=\"https:\/\/doi.org\/10.1109\/HSI.2012.22\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2012.22\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"167\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, M. Manic, &#8220;<strong>Improving Vehicle Fleet Fuel Economy via Learning Fuel Efficient Driving Behavior<\/strong>,&#8221; in <em>Proc. of the 5th Intl. IEEE Intl. Conference on Human System Interaction<\/em>, HSI 2012, Perth, Australia, June 6-8, 2012.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2012.28\" href=\"https:\/\/doi.org\/10.1109\/HSI.2012.28\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2012.28\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"168\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">U. Ravishankar, M. Manic, &#8220;<strong>A Direct Utility Adaptive Critic (DUAC) algorithm for power plant load management<\/strong>,&#8221; in <em>Proc. of IEEE Intl. Symposium on Industrial Electronics<\/em>, ISIE 2012, Hangzhou, China, May 28-31, 2012.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISIE.2012.6237188\" href=\"https:\/\/doi.org\/10.1109\/ISIE.2012.6237188\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISIE.2012.6237188\">DOI<\/a><\/p><\/article>\n<h3 id=\"conferences-2011\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2011<\/h3>\n<article data-source-entry=\"169\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, M. Manic, &#8220;<strong>Uncertainty Modeling with Interval Type-2 Fuzzy Logic Systems in Mobile Robotics<\/strong>,&#8221; in <em>Proc. of 37th Annual Conference of the IEEE Industrial Electronics Society<\/em>, IEEE IECON 2011, Melbourne, Australia, Nov. 7-10, 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON.2011.6119692\" href=\"https:\/\/doi.org\/10.1109\/IECON.2011.6119692\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON.2011.6119692\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"170\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Tosic, M. Manic, &#8220;<strong>A RESTful Technique for Collaborative Learning Content Transclusion by Wiki-style Mashups<\/strong>,&#8221; in <em>Proc. IEEE ICELIE&#8217;11<\/em>, 5th IEEE International Conference on E-Learning in Industrial Electronics, Melbourne, Australia, Nov. 7-10, 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ICELIE.2011.6130022\" href=\"https:\/\/doi.org\/10.1109\/ICELIE.2011.6130022\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ICELIE.2011.6130022\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"171\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, P. Sabharwall, &#8220;<strong>Computational Intelligence as a tool for Small Modular Reactors<\/strong>,&#8221; in <em>Proc. Small Modular Reactors Symposium<\/em>, ASME SMR 2011, Washington DC, Sep 28-30, 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1115\/SMR2011-6544\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><a aria-label=\"INL record\" href=\"https:\/\/inl.elsevierpure.com\/en\/publications\/computational-intelligence-as-a-tool-for-small-modular-reactors\/\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"INL record\">INL record<\/a><\/p><\/article>\n<article data-source-entry=\"172\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">T.R. McJunkin, R.L. Boring, M.A. McQueen, L.P. Shunn, J.L. Wright, D.I. Gertman, O. Linda, K. McCarty, M. Manic, &#8220;<strong>Concept of operations for data fusion visualization<\/strong>,&#8221; in <em>Proc. of European Safety and Reliability Conference (ESREL2011)<\/em>, Troyes, France, Sept. 19-22, 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1201\/b11433-89\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><a aria-label=\"Repository PDF\" href=\"https:\/\/inldigitallibrary.inl.gov\/sites\/sti\/sti\/5201304.pdf\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"Repository PDF\">Repository PDF<\/a><\/p><\/article>\n<article data-source-entry=\"173\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, M. Manic, T. R. McJunkin, &#8220;<strong>Anomaly Detection for Resilient Control Systems Using Fuzzy-Neural Data Fusion Engine<\/strong>,&#8221; in <em>Proc. IEEE Symposium on Resilience Control Systems<\/em>, ISRCS 2011, Boise, Idaho, Aug. 9-11, 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISRCS.2011.6016085\" href=\"https:\/\/doi.org\/10.1109\/ISRCS.2011.6016085\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISRCS.2011.6016085\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"174\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, T. Vollmer, M. Manic, J. Alves-Foss, &#8220;<strong>Towards Resilient Critical Infrastructures: Application of Type-2 Fuzzy Logic in Embedded Network Security Cyber Sensor<\/strong>,&#8221; in <em>Proc. IEEE Symposium on Resilience Control Systems<\/em>, ISRCS 2011, Boise, Idaho, Aug. 9-11, 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISRCS.2011.6016083\" href=\"https:\/\/doi.org\/10.1109\/ISRCS.2011.6016083\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISRCS.2011.6016083\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"175\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">U. Ravishankar, M. Manic, &#8220;<strong>A Hardware Suitable Integrated Neural System for Autonomous Vehicles<\/strong>,&#8221; in <em>Proc. of Int. Joint Conference on Neural Networks<\/em>, IJCNN 2011, San Jose, California, July 31-Aug.5, 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IJCNN.2011.6033475\" href=\"https:\/\/doi.org\/10.1109\/IJCNN.2011.6033475\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IJCNN.2011.6033475\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"176\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Wijayasekara, O. Linda, M. Manic, &#8220;<strong>CAVE-SOM: Immersive Visual Data Mining Using 3D Self-Organizing Maps<\/strong>,&#8221; in <em>Proc. of Int. Joint Conference on Neural Networks<\/em>, IJCNN 2011, San Jose, California, July 31-Aug. 5, 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IJCNN.2011.6033540\" href=\"https:\/\/doi.org\/10.1109\/IJCNN.2011.6033540\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IJCNN.2011.6033540\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"177\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda and M. Manic, \u201c<strong>Centroid Density of Interval Type-2 Fuzzy Sets: Comparing Stochastic and Deterministic Defuzzification<\/strong>,\u201d <em>IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)<\/em>, Taipei, Taiwan, pp. 1560\u20131567, 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/FUZZY.2011.6007619\" href=\"https:\/\/doi.org\/10.1109\/FUZZY.2011.6007619\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/FUZZY.2011.6007619\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"178\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">T. R. McJunkin, M. Manic, &#8220;<strong>Evolutionary Adaptive Discovery of Phased Array Sensor Signal<\/strong>,&#8221; in <em>Proc. of the 4th Intl. IEEE Conf. on Human System Interaction<\/em>, HSI 2011, Yokohama, Japan, May 19-21, 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2011.5937371\" href=\"https:\/\/doi.org\/10.1109\/HSI.2011.5937371\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2011.5937371\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"179\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">S.-D. Stan, M. Manic, C. Szep, and R. Balan, \u201c<strong>Performance analysis of 3 DOF Delta parallel robot<\/strong>,\u201d <em>4th International Conference on Human System Interactions (HSI)<\/em>, Yokohama, Japan, pp. 215\u2013220, 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2011.5937369\" href=\"https:\/\/doi.org\/10.1109\/HSI.2011.5937369\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2011.5937369\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"180\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, M. Manic, &#8220;<strong>Evaluating Uncertainty Resiliency of Type-2 Fuzzy Logic Controllers for Parallel Delta Robot<\/strong>,&#8221; in <em>Proc. of the 4th Intl. IEEE Conf. on Human System Interaction<\/em>, HSI 2011, Yokohama, Japan, May 19-21, 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2011.5937349\" href=\"https:\/\/doi.org\/10.1109\/HSI.2011.5937349\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2011.5937349\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"181\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda and M. Manic, \u201c<strong>Uncertainty Modeling for Interval Type-2 Fuzzy Logic Systems Based on Sensor Characteristics<\/strong>,\u201d <em>IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ)<\/em>, Paris, France, pp. 31\u201337, 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/T2FUZZ.2011.5949550\" href=\"https:\/\/doi.org\/10.1109\/T2FUZZ.2011.5949550\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/T2FUZZ.2011.5949550\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"182\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">T. Vollmer., J. A. Foss, M. Manic, &#8220;<strong>Autonomous Rule Creation for Intrusion Detection<\/strong>&#8220;, in <em>Proc of 2011 IEEE Symposium on Computational Intelligence in Cyber Security<\/em>, within IEEE Symposium Series on Computational Intelligence, CICS 2011 (SCCI 2011), pp. 1-8, Paris, France, Apr. 11-15, 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/CICYBS.2011.5949394\" href=\"https:\/\/doi.org\/10.1109\/CICYBS.2011.5949394\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/CICYBS.2011.5949394\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"183\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, M. Manic, T. Vollmer, J. Wright, &#8220;<strong>Fuzzy Logic Based Anomaly Detection for Embedded Network Security Cyber Sensor<\/strong>,&#8221; in <em>Proc of 2011 IEEE Symposium on Computational Intelligence in Cyber Security<\/em>, within IEEE Symposium Series on Computational Intelligence, CICS 2011 (SCCI 2011), pp. 202-209, Paris, France, Apr. 11-15, 2011.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/CICYBS.2011.5949392\" href=\"https:\/\/doi.org\/10.1109\/CICYBS.2011.5949392\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/CICYBS.2011.5949392\">DOI<\/a><\/p><\/article>\n<h3 id=\"conferences-2010\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2010<\/h3>\n<article data-source-entry=\"184\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">T. Veluppillai, O. Linda, M. Manic, &#8220;<strong>Forecasting the Idaho Falls Stream Flow with the Help of Neural Network and Microsoft Time Series<\/strong>,&#8221; in <em>Proc. International Conference on Hydroinformatics<\/em>, HIC 2010, Tianjin, China, Sep. 7-11, 2010.<\/p><\/article>\n<article data-source-entry=\"185\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">V. Dan, S.-D. Stan, M. Manic, and R. Balan, \u201c<strong>Mechatronic Design, Kinematics Analysis of a 3 DOF Medical Parallel Robot<\/strong>,\u201d <em>3rd International Symposium on Resilient Control Systems (ISRCS)<\/em>, Idaho Falls, ID, 2010.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISRCS.2010.5604105\" href=\"https:\/\/doi.org\/10.1109\/ISRCS.2010.5604105\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISRCS.2010.5604105\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"186\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">R. C. Donca, D. C. Popa, R. Balan, V. Iancu, M. Manic, &#8220;<strong>Design and Control of a Novel Type of Actuator for the Isoglide T3R1 Parallel Robot<\/strong>,&#8221; in <em>Proc. IEEE International Symposium on Resilient Control Systems<\/em>, ISRCS 2010, Idaho Falls, ID, Aug 10-12, 2010.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/ISRCS.2010.5604261\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"187\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">T. Vollmer, T. Soule, M. Manic, &#8220;<strong>A Distance Measure Comparison to Improve Crowding in Multi-Modal Optimization Problems<\/strong>, &#8221; in <em>Proc. of the 3rd IEEE Symposium on Resilience Control Systems<\/em>, ISRCS 2010, Idaho Falls, Idaho, Aug. 10-12, 2010.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISRCS.2010.5603475\" href=\"https:\/\/doi.org\/10.1109\/ISRCS.2010.5603475\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISRCS.2010.5603475\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"188\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, M. Manic, &#8220;<strong>Comparative Analysis of Type-1 and Type-2 Fuzzy Control in Context of Learning Behaviors for Mobile Robotics<\/strong>&#8220;, in <em>Proc. of 36th Annual Conference of the IEEE Industrial Electronics Society<\/em>, IEEE IECON 2010, Phoenix, Arizona, Nov. 7-10, 2010.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON.2010.5675521\" href=\"https:\/\/doi.org\/10.1109\/IECON.2010.5675521\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON.2010.5675521\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"189\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, M. Manic, &#8220;<strong>Importance Sampling Based Defuzzification for General Type-2 Fuzzy Sets<\/strong>&#8220;, in <em>Proc. of FUZZ-IEEE<\/em>, 2010, within, IEEE World Congress On Computational Intelligence, WCCI 2010, Barcelona, Spain, July 18-23, 2010.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/FUZZY.2010.5584256\" href=\"https:\/\/doi.org\/10.1109\/FUZZY.2010.5584256\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/FUZZY.2010.5584256\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"190\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">J. L. Wright, M. Manic, &#8220;<strong>Neural Network Architecture Selection Analysis With Application to Cryptography Location<\/strong>&#8220;, in <em>Proc. of Intl. Joint Conference on Neural Networks<\/em>, IJCNN 2010, within, IEEE World Congress On Computational Intelligence, WCCI 2010, Barcelona, Spain, July 18-23, 2010.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IJCNN.2010.5596315\" href=\"https:\/\/doi.org\/10.1109\/IJCNN.2010.5596315\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IJCNN.2010.5596315\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"191\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">E. William, M. Huff, V. Gupta, M. Krei, O. Linda, H. Hess, M. Manic, F. Rufus, J. Govar, &#8220;<strong>Mathematical Model of Li\/CFx Cell Discharge Rates<\/strong>,&#8221; in <em>Proc. Army Power Sources Conference 2010<\/em>, Las Vegas, Nevada, June 14-17, 2010.<\/p><\/article>\n<article data-source-entry=\"192\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. McCarty, M. Manic, S. Cherry, M. McQueen, &#8220;<strong>A Temporal-Spatial Data Fusion Architecture for Monitoring Complex Systems<\/strong>&#8220;, in <em>Proc. of the 3rd Intl. IEEE Conference on Human System Interaction<\/em>, HSI 2010, Rzeszow, Poland, May 13-15, 2010.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2010.5514583\" href=\"https:\/\/doi.org\/10.1109\/HSI.2010.5514583\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2010.5514583\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"193\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Coman, S. Stan, M. Manic, R. Balan, &#8220;<strong>Application of distance measuring with Matlab\/Simulink<\/strong>,&#8221; in <em>Proc. of the 3rd Intl. IEEE Conference on Human System Interaction<\/em>, HSI 2010, Rzeszow, Poland, May 13-15, 2010.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2010.5514581\" href=\"https:\/\/doi.org\/10.1109\/HSI.2010.5514581\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2010.5514581\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"194\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. R. Rad, M. Manic, R. Balan, S.D. Stan, &#8220;<strong>Real Time Evaluation of Inverse Kinematics for a 3-RPS Medical Parallel Robot using dSpace Platform<\/strong>,&#8221; in <em>Proc. IEEE International Conference on Human System Interaction<\/em>, HSI 2010, Rzeszow, Poland, May 13-15, 2010.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2010.5514590\" href=\"https:\/\/doi.org\/10.1109\/HSI.2010.5514590\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2010.5514590\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"195\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">J. L. Wright, M. Manic, &#8220;<strong>The Analysis of Dimensionality Reduction Techniques in Cryptographic Object Code Classification<\/strong>&#8220;, in <em>Proc. of the 3rd Intl. IEEE Conference on Human System Interaction<\/em>, HSI 2010, Rzeszow, Poland, May 13-15, 2010.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2010.5514572\" href=\"https:\/\/doi.org\/10.1109\/HSI.2010.5514572\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2010.5514572\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"196\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Barnes, M. Manic, &#8220;<strong>STRICR-FB, a novel Size-Translation-Rotation-Invariant Character Recognition method<\/strong>,&#8221; in <em>Proc. of the 3rd Intl. IEEE Conference on Human System Interaction<\/em>, HSI 2010, Rzeszow, Poland, May 13-15, 2010.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2010.5514573\" href=\"https:\/\/doi.org\/10.1109\/HSI.2010.5514573\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2010.5514573\">DOI<\/a><\/p><\/article>\n<h3 id=\"conferences-2009\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2009<\/h3>\n<article data-source-entry=\"197\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Coman, S. D. Stan, M. Manic, R. Balan, &#8220;<strong>Design, Simulation, and Control in Virtual Reality of a RV-2AJ Robot<\/strong>,&#8221; in <em>Proc. Conference of the IEEE Industrial Electronics Society<\/em>, IECON 2009, Porto, Portugal, Nov 3-6 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON.2009.5414922\" href=\"https:\/\/doi.org\/10.1109\/IECON.2009.5414922\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON.2009.5414922\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"198\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">G. Hauser, M. Manic, &#8220;<strong>Neural Network Real Time Video Processor for Early Aircraft Detection<\/strong>,&#8221; in <em>Proc. IEEE International Conference on Emerging Technologies and Factory Automation<\/em>, ETFA 2009, Mallorca, Spain, Sep 22-25, 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/ETFA.2009.5347185\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"199\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">T. Vollmer, M. Manic, &#8220;<strong>Computationally Efficient Neural Network Intrusion Security Awareness<\/strong>,&#8221; in <em>Proc. IEEE International Symposium on Resilient Control Systems<\/em>, ISRCS 2009, Idaho Falls, Idaho, Aug 11-13, 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISRCS.2009.5251357\" href=\"https:\/\/doi.org\/10.1109\/ISRCS.2009.5251357\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISRCS.2009.5251357\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"200\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">J. L. Wright, M. Manic, &#8220;<strong>Time Synchronization in Hierarchical TESLA Wireless Sensor Networks<\/strong>,&#8221; in <em>Proc. IEEE International Symposium on Resilient Control Systems<\/em>, ISRCS 2009, Idaho Falls, Idaho, Aug 11-13, 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISRCS.2009.5251365\" href=\"https:\/\/doi.org\/10.1109\/ISRCS.2009.5251365\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISRCS.2009.5251365\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"201\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, E. J. William, M. Huff, M. Manic, V. Gupta, J. Nance, H. Hess, F. Rufus, A. Thakker, J. Govar, &#8220;<strong>Intelligent Neural Network Implementation for SOCI Development of Li\/CFx Batteries<\/strong>,&#8221; in <em>Proc. IEEE International Symposium on Resilient Control Systems<\/em>, ISRCS 2009, Idaho Falls, Idaho, Aug 11-13, 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/ISRCS.2009.5251344\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"202\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">E. J. William, G. Vishu, M. Huff, O. Linda, J. Nance, H. Hess, M. Manic, F. Rufus, A. Thakker, J. Govar, &#8220;<strong>A Comparative Study of Lithium Poly-Carbon Monoflouride (Li\/CFx) and Lithium Iron Phosphate (LiFePO4) Battery Chemistries for State of Charge Indicator Design<\/strong>,&#8221; in <em>Proc. IEEE International Symposium on Industrial Electronics<\/em>, ISIE 2009, Seoul, Korea, July 5-8, 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/ISIE.2009.5214707\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><a aria-label=\"ResearchGate\" href=\"https:\/\/www.researchgate.net\/publication\/224581885_A_comparative_study_of_Lithium_Poly-Carbon_Monoflouride_LiCFx_and_Lithium_Iron_Phosphate_LiFePO4_battery_chemistries_for_State_of_Charge_Indicator_design\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"ResearchGate\">ResearchGate<\/a><\/p><\/article>\n<article data-source-entry=\"203\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, T. Vollmer, M. Manic,&#8221;<strong>Neural Network Based Intrusion Detection System for Critical Infrastructures<\/strong>,&#8221; in <em>Proc. of Intl. Joint Conference on Neural Networks<\/em>, IJCNN 2009, Atlanta, Georgia, June 14-19, 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IJCNN.2009.5178592\" href=\"https:\/\/doi.org\/10.1109\/IJCNN.2009.5178592\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IJCNN.2009.5178592\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"204\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, M. Manic, &#8220;<strong>GNG-SVM Framework \u2013 Classifying Large Datasets with Support Vector Machines Using Growing Neural Gas<\/strong>,&#8221; in <em>Proc. of Intl. Joint Conference on Neural Networks<\/em>, IJCNN 2009, Atlanta, Georgia, June 14-19, 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IJCNN.2009.5178713\" href=\"https:\/\/doi.org\/10.1109\/IJCNN.2009.5178713\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IJCNN.2009.5178713\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"205\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. Szep, S. D. Stan, V. Csibi, M. Manic, R. Balan, &#8220;<strong>New approach for accuracy and kinematics analysis of 2 DOF medical parallel robot<\/strong>&#8220;, <em>DEST 2009<\/em>, 3rd IEEE International Conference on Digital Ecosystems and Technologies, Special theme: Cyber Engineering and Human Space Computing, Istanbul, Turkey, 1-3 June 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/DEST.2009.5276780\" href=\"https:\/\/doi.org\/10.1109\/DEST.2009.5276780\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/DEST.2009.5276780\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"206\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">S. D. Stan, M. Manic, R. Balan, V. Maties, &#8220;<strong>Kinematics and Workspace Analysis of 3 DOF Compliant Micro Parallel Robots<\/strong>&#8220;, <em>6th International Symposium on Mechatronics and its Applications (IEEE)<\/em>, ISMA&#8217;09, Sharjah, United Arab Emirates, March 23-26, 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ISMA.2009.5164832\" href=\"https:\/\/doi.org\/10.1109\/ISMA.2009.5164832\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ISMA.2009.5164832\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"207\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, T. Vollmer, M. Manic, &#8220;<strong>SVM-inspired Dynamic Safe Navigation using Convex Hull Construction<\/strong>, &#8220;<em>ICIEA 2009<\/em>, 4th IEEE Conference on Industrial Electronics and Applications, Xi&#8217;an, China, May 25-27, 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ICIEA.2009.5138351\" href=\"https:\/\/doi.org\/10.1109\/ICIEA.2009.5138351\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ICIEA.2009.5138351\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"208\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">T. Vollmer, M. Manic, &#8220;<strong>CI-PASM &#8211; Computational Intelligence Based Prognostic Automotive System Model<\/strong>, &#8220;<em>ICIEA 2009<\/em>, 4th IEEE Conference on Industrial Electronics and Applications, Xi&#8217;an, China, May 25-27, 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ICIEA.2009.5138896\" href=\"https:\/\/doi.org\/10.1109\/ICIEA.2009.5138896\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ICIEA.2009.5138896\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"209\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Derr, M. Manic, &#8220;<strong>Multi-Robot Multi-Target Particle Swarm Optimization Search in Noisy Wireless Environments<\/strong>&#8220;, <em>HSI 2009<\/em>, 2nd IEEE Conference on Human System Interaction, Catania, Italy, 21-23 May 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2009.5090958\" href=\"https:\/\/doi.org\/10.1109\/HSI.2009.5090958\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2009.5090958\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"210\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">T. Vollmer, M. Manic, &#8220;<strong>Human Interface for Cyber Security Anomaly Detection Systems<\/strong>, &#8220;<em>HSI 2009<\/em>, 2nd IEEE Conference on Human System Interaction, Catania, Italy, 21-23 May 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2009.5091055\" href=\"https:\/\/doi.org\/10.1109\/HSI.2009.5091055\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2009.5091055\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"211\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">O. Linda, M. Manic, &#8220;<strong>Fuzzy manual control of multi-robot system with built-in swarm behavior<\/strong>, &#8220;<em>HSI 2009<\/em>, 2nd IEEE Conference on Human System Interaction, Catania, Italy, 21-23 May 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2009.5090944\" href=\"https:\/\/doi.org\/10.1109\/HSI.2009.5090944\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2009.5090944\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"212\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. McCarty, M. Manic, &#8220;<strong>Adaptive Behavioral Control of Collaborative Robots in Hazardous Environments<\/strong>,&#8221; <em>2nd IEEE Conference on Human System Interaction<\/em>, Catania, Italy, 21-23 May 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2009.5090945\" href=\"https:\/\/doi.org\/10.1109\/HSI.2009.5090945\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2009.5090945\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"213\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. Szep, S. D. Stan, V. Csibi, M. Manic, R. Balan, &#8220;<strong>Kinematics, Workspace, Design and Accuracy Analysis of RPRPR Medical Parallel Robot<\/strong>&#8220;, <em>HSI 2009<\/em>, 2nd IEEE Conference on Human System Interaction, Catania, Italy, 21-23 May 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2009.5090957\" href=\"https:\/\/doi.org\/10.1109\/HSI.2009.5090957\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2009.5090957\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"214\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Verdes, S. D. Stan, M. Manic, R. Balan, V. Maties, &#8220;<strong>Kinematics analysis, Workspace, Design and Control of 3-RPS and TRIGLIDE medical parallel robots<\/strong>&#8220;, <em>HSI 2009<\/em>, 2nd IEEE Conference on Human System Interaction, Catania, Italy, 21-23 May 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2009.5090962\" href=\"https:\/\/doi.org\/10.1109\/HSI.2009.5090962\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2009.5090962\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"215\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. I. Nichol, M. Manic, &#8220;<strong>Video Game Device Haptic Interface for Robotic Arc Welding<\/strong>&#8220;, <em>HSI 2009<\/em>, 2nd IEEE Conference on Human System Interaction, Catania, Italy, 21-23 May 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2009.5091054\" href=\"https:\/\/doi.org\/10.1109\/HSI.2009.5091054\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2009.5091054\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"216\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">A. Ridluan, O. Linda, M. Manic, A. Tokuhiro, &#8220;<strong>Artificial Neural Network to Support Thermohydraulic Design Optimization for Advanced Nuclear Heat Removal System<\/strong>&#8221; <em>ICAAP&#8217;09<\/em>, Tokyo, Japan, May 10th-14th, 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"ResearchGate\" href=\"https:\/\/www.researchgate.net\/publication\/237331370_Artificial_Neural_Network_to_Support_Thermohydraulic_Design_Optimization_for_An_Advanced_Nuclear_Heat_Removal_System\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"ResearchGate\">ResearchGate<\/a><\/p><\/article>\n<article data-source-entry=\"217\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. McCarty, M. Manic, P. Goodwin, M. Piasecki, &#8220;<strong>Submission and Querying Tools for a Hydrologic Information Systems Database<\/strong>,&#8221; <em>8th International Conference on Hydroinformatics<\/em>, Concepci\u00f3n, Chile, Jan. 12-16, 2009.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"Proceedings\" href=\"https:\/\/www.proceedings.com\/content\/009\/009916webtoc.pdf\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"Proceedings\">Proceedings<\/a><\/p><\/article>\n<article data-source-entry=\"218\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">S. D. Stan, M. Manic, R. Balan, V. Maties, &#8220;<strong>Genetic algorithms for workspace optimization of planar medical parallel robot<\/strong>&#8220;, <em>IEEE International Conference on Emerging Trends in Computing<\/em>, ICETIC 2009, Virudhanagara, Tamil Nadu, India, Jan. 8-10, 2009.<\/p><\/article>\n<h3 id=\"conferences-2008\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2008<\/h3>\n<article data-source-entry=\"219\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">S. D. Stan, M. Manic, M. Maties, R. Balan, &#8220;<strong>Kinematics Analysis, Design, and Control of an Isoglide3 Parallel Robot (IG3PR)<\/strong>&#8220;, <em>IECON08<\/em>, The 34th Annual Conference of the IEEE Industrial Electronics Society, Orlando, Florida, pp. 2636-2641, Nov. 10-13, 2008.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON.2008.4758373\" href=\"https:\/\/doi.org\/10.1109\/IECON.2008.4758373\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON.2008.4758373\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"220\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">L. Golden, M. Manic, &#8220;<strong>Optical Fuzzy Logic for Low-Power Satellite Controller<\/strong>&#8220;, <em>IECON08<\/em>, The 34th Annual Conference of the IEEE Industrial Electronics Society, Orlando, Florida, pp. 2647-2654, Nov. 10-13, 2008.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON.2008.4758375\" href=\"https:\/\/doi.org\/10.1109\/IECON.2008.4758375\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON.2008.4758375\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"221\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">E.J. William, B.K. Johnson, M. Manic, &#8220;<strong>Implementing an Intelligent Error Back Propagation (EBP) Relay in PSCADTM\/EMTDC 4.2.1<\/strong>&#8220;, <em>NAPS&#8217;08<\/em>, North American Power Symposium 2008, University of Calgary, Calgary, Canada, pp. 1-6, Sept 28th to 30th, 2008.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/NAPS.2008.5307347\" href=\"https:\/\/doi.org\/10.1109\/NAPS.2008.5307347\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/NAPS.2008.5307347\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"222\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Dudenhoeffer, M. Manic, &#8220;<strong>Fuzzy simulation for infrastructure effects uncertainty analysis<\/strong>&#8220;, <em>20th European Modeling and Simulation Symposium (Simulation in Industry)<\/em>, EMSS08, Campora San Giovanni, Amantea (CS), Italy, Sep. 17-19, 2008.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"INL record\" href=\"https:\/\/inl.elsevierpure.com\/en\/publications\/fuzzy-simulation-for-infrastructure-effects-uncertainty-analysis\/\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"INL record\">INL record<\/a><\/p><\/article>\n<article data-source-entry=\"223\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Derr, M. Manic, &#8220;<strong>DSTiPE Algorithm for Fuzzy Spatio-Temporal Risk Calculation in Wireless Environments<\/strong>&#8220;, <em>13th IEEE Conference on Emerging Technologies and Factory Automation<\/em>, ETFA&#8217;08, Hamburg, Germany, Sep. 9-12, 2008.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ETFA.2008.4638545\" href=\"https:\/\/doi.org\/10.1109\/ETFA.2008.4638545\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ETFA.2008.4638545\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"224\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. McCarty, M. Manic, S. D. Stan, &#8220;<strong>Contextual Data Rule Generation for Autonomous Vehicle Control<\/strong>, &#8220;<em>CISSE08<\/em>, \u00a9 Springer-Verlag Berlin Heidelberg 2008 (in print)<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1007\/978-90-481-3658-2_22\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"225\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. McCarty, M. Manic, &#8220;<strong>Descending Deviation Optimizaiton Techniques For Scheduling Problems<\/strong>,&#8221; <em>13th IEEE Conf. on Emerging Technologies and Factory Automation &#8211; ETFA<\/em>, Hamburg, Germany, Sep. 2008.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ETFA.2008.4638404\" href=\"https:\/\/doi.org\/10.1109\/ETFA.2008.4638404\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ETFA.2008.4638404\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"226\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Derr, M. Manic, &#8220;<strong>Wireless Based Object Tracking Based on Neural Networks<\/strong>&#8220;, <em>ICIEA 2008<\/em>, 3rd IEEE Conference on Industrial Electronics and Applications, Singapore, June 3-5, 2008.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ICIEA.2008.4582530\" href=\"https:\/\/doi.org\/10.1109\/ICIEA.2008.4582530\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ICIEA.2008.4582530\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"227\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. McCarty, M. Manic, &#8220;<strong>Line-of-Sight Tracking Based Upon Modern Heuristic Approach<\/strong>,&#8221; <em>3rd IEEE Conf. on Idustrial Electronics and Application &#8211; ICIEA<\/em>, Singapore, June, 2008.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/ICIEA.2008.4582477\" href=\"https:\/\/doi.org\/10.1109\/ICIEA.2008.4582477\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/ICIEA.2008.4582477\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"228\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">S. D. Stan, M. Manic, M. Maties, R. Balan, &#8220;<strong>Evolutionary Approach to Optimal Design of 3 DOF Translation Exoskeleton and Medical Parallel Robots<\/strong>&#8220;, <em>HSI 2008<\/em>, IEEE Conference on Human System Interaction, Krakow, Poland, May 25-27, 2008.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2008.4581530\" href=\"https:\/\/doi.org\/10.1109\/HSI.2008.4581530\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2008.4581530\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"229\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. McCarty, M. Manic, &#8220;<strong>Contextual Fuzzy Type-2 Hierarchies for Decision Trees (CoFuH-DT) &#8211; An Accelerated Data Mining Technique<\/strong>, &#8220;<em>IEEE Conf. on Human System Interaction &#8211; HSI<\/em>, Poland, May, 2008.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/HSI.2008.4581526\" href=\"https:\/\/doi.org\/10.1109\/HSI.2008.4581526\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/HSI.2008.4581526\">DOI<\/a><\/p><\/article>\n<h3 id=\"conferences-2007\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2007<\/h3>\n<article data-source-entry=\"230\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">G. Navarro, M. Manic, &#8220;<strong>NFuSA &#8211; Neuro-Fuzzy Algorithm for Sparing in RAID Systems<\/strong>&#8220;, <em>The 33rd Annual Conference of the IEEE Industrial Electronics Society IECON07<\/em>, Taipei, Taiwan, Nov. 2007.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IECON.2007.4460362\" href=\"https:\/\/doi.org\/10.1109\/IECON.2007.4460362\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IECON.2007.4460362\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"231\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">E.J. William, M. Manic, B.K. Johnson, &#8220;<strong>ANN Relays Used to Determine Fault Locations on Shipboard Electrical Distribution Systems<\/strong>&#8220;, <em>NAPS&#8217;07<\/em>, North American Power Symposium 2007, New Mexico State University, Las Cruces, September 30 &#8211; October 2, 2007.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/NAPS.2007.4402301\" href=\"https:\/\/doi.org\/10.1109\/NAPS.2007.4402301\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/NAPS.2007.4402301\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"232\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Derr, M. Manic, &#8220;<strong>Intelligent Control in Automation Based on Wireless Traffic Analysis<\/strong>&#8220;, <em>12th IEEE Conference on Emerging Technologies and Factory Automation<\/em>, ETFA07, Sep. 25-28, 2007, Patras, Greece.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/EFTA.2007.4416776\" href=\"https:\/\/doi.org\/10.1109\/EFTA.2007.4416776\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/EFTA.2007.4416776\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"233\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">G. Navarro, M. Manic, &#8220;<strong>Fuzzy Control of Sparing in Disk Arrays<\/strong>&#8220;, <em>12th IEEE Conference on Emerging Technologies and Factory Automation<\/em>, ETFA&#8217;07, Patras, Greece, Sep. 25-28, 2007.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/EFTA.2007.4416957\" href=\"https:\/\/doi.org\/10.1109\/EFTA.2007.4416957\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/EFTA.2007.4416957\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"234\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">G. Navarro, M. Manic, &#8220;<strong>Predictive E-Mail Server Performability Analysis Based on Fuzzy Arithmetic<\/strong>&#8220;, <em>20th International Joint INNS-IEEE Conference on Neural Networks<\/em>, IJCNN 2007, Aug 12-17, 2007 Orlando, Florida.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1109\/IJCNN.2007.4371337\" href=\"https:\/\/doi.org\/10.1109\/IJCNN.2007.4371337\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1109\/IJCNN.2007.4371337\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"235\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Dudenhoeffer, P. Permann, S. Woolsey, R. Timpany, T. McDermott, C. Miller, and M. Manic, &#8220;<strong>Interdependency Modeling and Emergency Response<\/strong>&#8220;, <em>2007 Summer Computer Simulation Conference<\/em>, SCSC 2007, San Diego, California, July 15-18, 2007.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"INL record\" href=\"https:\/\/inl.elsevierpure.com\/en\/publications\/interdependency-modeling-and-emergency-response\/\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"INL record\">INL record<\/a><\/p><\/article>\n<h3 id=\"conferences-2006-and-earlier\" style=\"margin:1.7rem 0 .9rem;font-size:1.25rem\">2006 and Earlier<\/h3>\n<article data-source-entry=\"236\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Dudenhoeffer, M. Permann, M. Manic, &#8220;<strong>CIMS: A Framework for Infrastructure Interdependency Modeling and Analysis<\/strong>,&#8221; in <em>Proc. Winter Simulation Conference<\/em>, WSC 2006, Monterey, California. Dec. 3-6, 2006.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/WSC.2006.323119\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><a aria-label=\"PDF\" href=\"https:\/\/www.informs-sim.org\/wsc06papers\/058.pdf\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"PDF\">PDF<\/a><\/p><\/article>\n<article data-source-entry=\"237\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Caamano, P. Goodwin, M. Manic, &#8220;<strong>Derivation of a Bedload Sediment Transport Formula using Artificial Neural Networks<\/strong>,&#8221; in <em>Proc. International Conference on Hydroinformatics<\/em>, HIC 2006, Nice, France, Sep. 4-8, 2006.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"ResearchGate\" href=\"https:\/\/www.researchgate.net\/publication\/252498702_Derivation_of_a_bed_load_sediment_transport_formula_using_artificial_neural_networks\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"ResearchGate\">ResearchGate<\/a><\/p><\/article>\n<article data-source-entry=\"238\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">G. Navarro, M. Manic, &#8220;<strong>Fuzzy Performability Analysis of Disk Arrays<\/strong>,&#8221; in <em>Proc. IEEE International Symposium on Industrial Electronics<\/em>, ISIE 2006, Montreal, Canada, July 9-13, 2006.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/ISIE.2006.296097\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"239\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">P. Huadian, M. Manic, X. Li, B. Wilamowski, &#8220;<strong>Multilevel Logic Multiplier Using VLSI Neural Network<\/strong>,&#8221; in <em>Proc. IEEE International Conference on Industrial Technology<\/em>, ICIT 2003, Maribor, Slovenia, Dec. 10-12, 2003.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/ICIT.2003.1290318\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"240\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, D. Wilamowski, &#8220;<strong>Robust Neural Network Training Using Partial Gradient Probing<\/strong>,&#8221; in <em>Proc. IEEE International Conference on Industrial Informatics<\/em>, INDIN 2003, Alberta, Canada, Aug. 21-24, 2003.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/INDIN.2003.1300266\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"241\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, D. Wilamowski, &#8220;<strong>Random Weights Search in Compressed Neural Networks Using Overdetermined Pseudoinverse<\/strong>,&#8221; in <em>Proc. IEEE International Symposium on Industrial Electronics<\/em>, ISIE 2003, Rio de Janeiro, Brazil, June 9-12, 2003.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/ISIE.2003.1267901\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"242\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, D. Wilamowski, A. Malinowski, &#8220;<strong>Internet Based Neural Network Online Simulation Tool<\/strong>,&#8221; in <em>Proc. Conference of the IEEE Industrial Electronics Society<\/em>, IECON 2002, Seville, Spain, Nov. 5-8, 2002.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/IECON.2002.1182851\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"243\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, D. Wilamowski, &#8220;<strong>Robust Algorithm for Neural Network Training<\/strong>,&#8221; in <em>Proc. World Congress on Computational Intelligence<\/em>, WCCI 2002, Honolulu, Hawaii, May 12-17, 2002.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/IJCNN.2002.1007744\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"244\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, D. Wilamowski, &#8220;<strong>Fuzzy Preference Approach for Computer Network Attack Detection<\/strong>, &#8220;<em>International Joint Conference on Neural Networks<\/em>, IJCNN 2001, Washington DC, July 14-19, 2001.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/IJCNN.2001.939557\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"245\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Wilamowska, M. Manic, &#8220;<strong>Unsupervised Pattern Clustering for Data Mining<\/strong>,&#8221; in <em>Proc. Conference of the IEEE Industrial Electronics Society<\/em>, IECON 2001, Denver, Colorado, Nov. 29-Dec. 2, 2001.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1109\/IECON.2001.975574\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"246\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, &#8220;<strong>Fuzzy-Operators Weight Refinements<\/strong>,&#8221; in <em>Proc. Reliability and Maintainability Symposium<\/em>, RAMS 1999, Washington, DC, Jan. 18-21, 1999.<\/p><\/article>\n<article data-source-entry=\"247\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, S. Milutinovic, &#8220;<strong>Refinements of Fuzzy Operators Weights<\/strong>,&#8221; in <em>Proc. Turkish Symposium on Artificial Intelligence and Neural Networks<\/em>, TAINN 1998, Ankara, Turkey, June 24-26, 1998.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"Conference program\" href=\"https:\/\/www.cs.bilkent.edu.tr\/~ilyas\/TAINN98\/program.html\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"Conference program\">Conference program<\/a><\/p><\/article>\n<article data-source-entry=\"248\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, J. Muskatirovic, &#8220;<strong>Selection of Optimum Solution for Water Supply in Fuzzy Decision Environment<\/strong>,&#8221; in <em>Proc. International Conference on Hydroinformatics<\/em>, HIC 1998, Copenhagen, Denmark, Aug. 24-26, 1998.<\/p><\/article>\n<article data-source-entry=\"249\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, S. Milutinovic, &#8220;<strong>Fuzzy Preference Relation Depending on Different Operators and Fuzzy Numbers<\/strong>,&#8221; in <em>Proc. International Fuzzy Systems Association<\/em>, IFSA 1997, Prague, Czech Republic, June 25-29, 1997.<\/p><\/article>\n<article data-source-entry=\"250\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">S. Milutinovic, M. Manic, &#8220;<strong>AHP Fuzzy-Decision Support System in a Fuzzy Environment<\/strong>, &#8220;<em>Mini EURO Conference<\/em>, Budva, Yugoslavia, Sept. 15-19, 1997.<\/p><\/article>\n<article data-source-entry=\"251\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">S. Milutinovic, M. Manic, &#8220;<strong>Indoor Environmental Optimal Design by Using Combined DSS for Quantified and Fuzzy Values<\/strong>,&#8221; in <em>Proc. International Conference on Indoor Air Quality and Climate<\/em>, INDOOR AIR 1996, Nagoya, Japan, July 21-26, 1996.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"ResearchGate\" href=\"https:\/\/www.researchgate.net\/publication\/242096792_INDOOR_ENVIRONMENTAL_OPTIMAL_DESIGN_BY_USING_COMBINED_DSS_FOR_QUANTIFIED_AND_FUZZY_VALUES\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"ResearchGate\">ResearchGate<\/a><\/p><\/article>\n<article data-source-entry=\"252\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">S. Milutinovic, M. Manic, M. S. Stankovic, &#8220;<strong>Influence of Choosing Operators on Preference of Fuzzy Numbers<\/strong>, &#8220;<em>FUBEST 1996<\/em>, Sofia, Bulgaria, Oct. 9-11, 1996.<\/p><\/article>\n<\/section>\n<section aria-labelledby=\"tutorials\">\n<h2 id=\"tutorials\" style=\"text-align:left;margin:2.5rem 0 1rem;padding-bottom:.45rem;border-bottom:3px solid #ffb300\">Tutorials<\/h2>\n<article data-source-entry=\"253\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, S. Das, H. S. Mavikumbure, V. Cobilean, and D. Drake, &#8220;<strong>Self-Supervised Anomaly Detection to Improve Security of Cyber-Physical Systems<\/strong>&#8220;, Tutorial presented at <em>IECON 2025 \u2013 51st Annual Conference of the IEEE Industrial Electronics Society<\/em>, Madrid, Spain, 2025.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"Tutorial page\" href=\"https:\/\/iecon2025.org\/tutorials\/\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"Tutorial page\">Tutorial page<\/a><\/p><\/article>\n<article data-source-entry=\"254\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, B. Vaagensmith, H. S. Mavikumbure, V. Cobilean, &#8220;<strong>Unsupervised Trustworthy Anomaly Detection to Improve Security of Smart Grid Systems<\/strong>&#8220;, Tutorial presented at <em>IECON 2024 \u2013 50th Annual Conference of the IEEE Industrial Electronics Society<\/em>, Chicago, IL, USA, 2024.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"Tutorial page\" href=\"https:\/\/www.iecon-2024.org\/tutorial-sessions\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"Tutorial page\">Tutorial page<\/a><\/p><\/article>\n<article data-source-entry=\"255\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, H. S. Mavikumbure, V. Cobilean, B. J. Varghese, and T. Pennington, &#8220;<strong>Cyber-Physical System Security and Resilience in Electric Vehicle Charging Systems<\/strong>&#8220;, Tutorial presented at <em>IECON 2023 \u2013 49th Annual Conference of the IEEE Industrial Electronics Society<\/em>, Singapore, Singapore, 2023.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"Tutorial page\" href=\"https:\/\/resourcecenter.ies.ieee.org\/conferences\/iecon-2023\/iesiecon2023vid0060\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"Tutorial page\">Tutorial page<\/a><\/p><\/article>\n<\/section>\n<section aria-labelledby=\"chapters\">\n<h2 id=\"chapters\" style=\"text-align:left;margin:2.5rem 0 1rem;padding-bottom:.45rem;border-bottom:3px solid #ffb300\">Book Chapters<\/h2>\n<article data-source-entry=\"256\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">P. Sivils, C. Rieger, K. Amarasinghe, and M. Manic, \u201c<strong>Integrated Cyber Physical Assessment and Response for Improved Resiliency<\/strong>,\u201d in <em>The Internet of Things for Smart Urban Ecosystems<\/em>, pp. 51\u201374, Springer, 2019.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI 10.1007\/978-3-319-96550-5_3\" href=\"https:\/\/doi.org\/10.1007\/978-3-319-96550-5_3\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"10.1007\/978-3-319-96550-5_3\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"257\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">A. Giani, O. Linda, M. Manic, M. McQueen, &#8220;<strong>Known Secure Sensor Measurements Concept and Its Application for Critical Infrastructure Systems<\/strong>,&#8221; book chapter, Optimization and Security Challenges in <em>Smart Power Grids<\/em>, Springer Verlag, Ed.s Pappu, Vijay; Carvalho, Marco; Pardalos, Panos, July 31, 2013, ISBN 978-3-642-38133-1.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1007\/978-3-642-38134-8_9\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"258\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, &#8220;<strong>Data Mining<\/strong>,&#8221; book chapter in <em>The Industrial Electronics Handbook<\/em>, 2nd ed, Eds. J. D. Irwin, B. Wilamowski, Boca Raton, Florida: CRC Press\/IEEE Press, 2011. ISBN: 978-0849383434.<\/p><\/article>\n<article data-source-entry=\"259\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, K. Derr, &#8220;<strong>Industrial Wireless communications Security (IWCS)<\/strong>,&#8221; book chapter in <em>The Industrial Electronics Handbook<\/em>, 2nd ed., Eds. J. D. Irwin, B. Wilamowski, Boca Raton, Florida: CRC Press\/IEEE Press, 2011. ISBN: 978-0849383434.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"INL record\" href=\"https:\/\/inl.elsevierpure.com\/en\/publications\/industrial-wireless-communications-security-iwcsc42\/\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"INL record\">INL record<\/a><\/p><\/article>\n<article data-source-entry=\"260\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, S. D. Stan, S. Stankovic, &#8220;<strong>WiMAX in Industry<\/strong>,&#8221; book chapter in <em>The Industrial Electronics Handbook<\/em>, 2nd ed. Eds. J. D. Irwin, B. Wilamowski, Boca Raton, Florida: CRC Press\/ IEEE Press, 2011. ISBN: 978-0849383434.<\/p><\/article>\n<article data-source-entry=\"261\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">S. Mahlknecht, M. Manic, S. A. Madani, &#8220;<strong>Bluetooth<\/strong>,&#8221; book chapter in <em>The Industrial Electronics Handbook<\/em>, 2nd ed. Eds. J. D. Irwin, B. Wilamowski, Boca Raton, Florida: CRC Press\/IEEE Press, 2011. ISBN: 978-0849383434.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"Repository record\" href=\"https:\/\/repositum.tuwien.at\/handle\/20.500.12708\/27205\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"Repository record\">Repository record<\/a><\/p><\/article>\n<article data-source-entry=\"262\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">S. Mahlknecht, T. Dang, M. Manic, S. A. Madani, &#8220;<strong>ZigBee<\/strong>,&#8221; book chapter <em>The Industrial Electronics Handbook<\/em>, 2nd ed. Eds. J. D. Irwin, B. Wilamowski, Boca Raton, Florida: CRC Press\/IEEE Press, 2011. ISBN: 978-0849383434.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"Repository record\" href=\"https:\/\/repositum.tuwien.at\/handle\/20.500.12708\/27204\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"Repository record\">Repository record<\/a><\/p><\/article>\n<article data-source-entry=\"263\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">H. Trsek, J. Jasperneite, L. Lo Bello, M. Manic, &#8220;<strong>Wireless Local Area Networks<\/strong>,&#8221; book chapter <em>The Industrial Electronics Handbook<\/em>, 2nd ed. Eds. J. D. Irwin, B. Wilamowski, Boca Raton, Florida: CRC Press\/IEEE Press, 2011. ISBN: 978-0849383434.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1201\/b10603-52\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"264\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. McCarty, M. Manic, S. D. Stan, &#8220;<strong>Contextual Data Rule Generation for Autonomous Vehicle Control<\/strong>,&#8221; book chapter <em>Innovation and Advances in Computer Sciences and Engineering. Ed. T. Sobh. Berlin Heidelberg<\/em>, Germany: Springer-Verlag, 2010, pp. 123-128. ISBN 978-90-481-3657-5.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1007\/978-90-481-3658-2_22\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"265\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">S. D. Stan, G. Gogu, M. Manic, R. Balan, C. Rad, &#8220;<strong>Fuzzy Control of a 3 Degree of Freedom Parallel Robot<\/strong>,&#8221; book chapter <em>Technological Developments in Education and Automation. Eds. M. Iskander<\/em>, V. Kapila, M. A. Karim. Berlin Heidelberg, Germany: Springer-Verlag, 2010, pp. 437-442. ISBN 978-90-481-3655-1.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1007\/978-90-481-3656-8_79\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"266\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">S. D. Stan, M. Manic, V. Maties, R. Balan, &#8220;<strong>A Novel Virtual Reality Robot Interface for Isoglide3 Parallel Robot<\/strong>,&#8221; book chapter in <em>Intelligent Robotics and Applications: Lecture Notes in Computer Science<\/em>, vol. 5314\/2008. Eds. C. Xiong, H. Liu, Y. Huang, Youlun Xiong., Berlin Heidelberg, Germany: Springer-Verlag, 2008, pp. 1265-1275. ISBN: 978-3-540-88513-9.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"DOI\" href=\"https:\/\/doi.org\/10.1007\/978-3-540-88513-9_134\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"DOI\">DOI<\/a><\/p><\/article>\n<article data-source-entry=\"267\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">S. Milutinovic, S. Pavlovic, M. Grozdanovic, M. Manic, &#8220;<strong>Multiple Criteria Estimation of CTD Risk Factors&#8217; Importance<\/strong>,&#8221; book chapter in <em>Manufacturing Agility and Hybrid Automation II. Eds. W. Karwowsky<\/em>, R. Goonetilleke. Hong Kong, China: IEA Press, 1998, pp. 509-512.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"ResearchGate\" href=\"https:\/\/www.researchgate.net\/publication\/249970203_Multiple_Criteria_Estimation_of_CTD_Risk_Factors%27_Importance\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"ResearchGate\">ResearchGate<\/a><\/p><\/article>\n<\/section>\n<section aria-labelledby=\"other\">\n<h2 id=\"other\" style=\"text-align:left;margin:2.5rem 0 1rem;padding-bottom:.45rem;border-bottom:3px solid #ffb300\">Posters &amp; Other Publications<\/h2>\n<article data-source-entry=\"268\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">Evan Hughes, Deepak Kumbhare, Chathurika S. Wickramasinghe, Kasun Amarasinghe, Milos Manic, Kathryn L. Holloway, &#8220;<strong>Quantitative electroencephalogram as an objective biomarker of deep brain stimulation<\/strong>\u201d.<\/p><\/article>\n<article data-source-entry=\"269\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. Rieger and M. Manic, \u201c<strong>On Critical Infrastructures, Their Security and Resilience \u2013 Trends and Vision<\/strong>,\u201d <em>arXiv:1812.02710<\/em>, 2018.<\/p><p style=\"margin:.35rem 0 0;line-height:1.45\"><a aria-label=\"Preprint PDF\" href=\"https:\/\/arxiv.org\/pdf\/1812.02710\" rel=\"noopener noreferrer\" style=\"display:inline-block;margin:.1rem .35rem .1rem 0;padding:.18rem .48rem;border:1px solid #d4d4d4;text-decoration:none;font-weight:700;font-size:.9em\" target=\"_blank\" title=\"Preprint PDF\">Preprint PDF<\/a><\/p><\/article>\n<article data-source-entry=\"270\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Wijayasekara, M. Manic, &#8220;<strong>Known Secure Sensor Measurements for Resilient Infrastructure<\/strong>, &#8220;Poster presentation, <em>NATO Advanced Study Institute on Energy Security<\/em>, Antalya, Turkey, October 4-11, 2015.<\/p><\/article>\n<article data-source-entry=\"271\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">K. Amarasinghe, D. Wijayasekara, M. Manic, &#8220;<strong>Intelligent Software Defined Networks for Resilient Smart Grid Communications<\/strong>, &#8220;Poster presentation, <em>NATO Advanced Study Institute on Energy Security<\/em>, Antalya, Turkey, October 4-11, 2015.<\/p><\/article>\n<article data-source-entry=\"272\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, D. Wijayasekara, K. Amarasinghe, K. handy, &#8220;<strong>Universal Application Delivery via SDN Based Architecture<\/strong>, &#8220;Poster presentation, <em>US Ignite Application Summit<\/em>, Sunnyvale, CA, June 24-27, 2014.<\/p><\/article>\n<article data-source-entry=\"273\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, D. Wijayasekara, K. Amarasinghe, K. handy, &#8220;<strong>Virtualized Services via SDN Based End-to-End Networking<\/strong>, &#8220;Poster presentation, <em>20th GENI Engineering Conference (GEC20)<\/em>, Davis, CA, June 21-24, 2014.<\/p><\/article>\n<article data-source-entry=\"274\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, D. Wijayasekara, K. Amarasinghe, K. handy, &#8220;<strong>Virtualized Services via OpenFlow Based Software Defined Networking<\/strong>, &#8220;Poster presentation, <em>19th GENI Engineering Conference (GEC19)<\/em>, Atlanta, GA, March 17-19, 2014.<\/p><\/article>\n<article data-source-entry=\"275\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, D. Wijayasekara, C. Rieger, &#8220;<strong>Targeted Energy Management System Toolset<\/strong>, &#8220;Poster presentation, <em>Defense Energy Summit<\/em>, Austin, TX, November11-13, 2013.<\/p><\/article>\n<article data-source-entry=\"276\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, D. Wijayasekara, B. Patterson, R. Peterson, &#8220;<strong>Next Generation Emergency Management Systems via Application Virtualization<\/strong>, &#8220;Poster presentation, <em>18th GENI Engineering Conference (GEC18)<\/em>, Brooklyn, NY, October 27-29, 2013.<\/p><\/article>\n<article data-source-entry=\"277\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">M. Manic, D. Wijayasekara, B. Patterson, R. Peterson, &#8220;<strong>Next Generation Emergency Management Systems via Application Virtualization<\/strong>, &#8220;Poster presentation, <em>17th GENI Engineering Conference (GEC17)<\/em>, Madison, WI, July 21-23, 2013.<\/p><\/article>\n<article data-source-entry=\"278\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. Becker, J. Hewlett, M. Manic, B. Patterson, R. Peterson, &#8220;<strong>Next Generation Emergency Management Systems with Network Virtualization<\/strong>, &#8220;Poster presentation, <em>16th GENI Engineering Conference (GEC16)<\/em>, March 19-21, 2013, Salt Lake City, Utah (also at US Ignite Summit, Chicago, IL, June 24-26, 2013).<\/p><\/article>\n<article data-source-entry=\"279\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">P. V. Tsvetkov, M. Manic, P. Sabharwall, &#8220;<strong>Simulations of Dynamics and Control of Advanced Reactor Systems using Artificial Neural Networks<\/strong>,&#8221; <em>in Transactions of the American Nuclear Society, vol. 106, pp. 628-629<\/em>, 2012.<\/p><\/article>\n<article data-source-entry=\"280\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">C. Duarte, B. Acker, R. Grosshans, M. Manic, K.Van Den Wymelenberg, C. Rieger, &#8220;<strong>Prioritizing and Visualizing Energy Management and Control System Data to Provide Actionable Information for Building Operators<\/strong>,&#8221; <em>at Western Energy Policy Research Conference<\/em>, Boise, Idaho, Aug. 25-26, 2011.<\/p><\/article>\n<article data-source-entry=\"281\" style=\"padding:0 0 .95rem;margin:0 0 .95rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.58\">D. Barnes, M. Manic, &#8220;<strong>STRICR &#8211; Hiragana Character Recognition Algorithm<\/strong>,&#8221; oral presentation and proceedings of abstracts, authors <em>Idaho Academy of Science 49th Annual Meeting and Symposium<\/em>, Idaho Falls, April 19 &#8211; 21, 2007. (Best Student Paper Award)<\/p><\/article>\n<\/section>\n<p style=\"margin:2rem 0 0\"><a href=\"#publication-sections\" style=\"font-weight:700\">Back to publication sections<\/a><\/p>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>Browse research outputs from the Modern Heuristic Research Group by publication type. DOI links point to persistent publication records. Public PDF, preprint, and repository links are included only where a stable public copy has been identified. Journal Articles Conference Papers Tutorials Book Chapters Posters &amp; Other Publications Journal Articles Years: 2026 \u00a0 2025 \u00a0 2024 [&hellip;]<\/p>\n","protected":false},"author":2340,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-64","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/pages\/64","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/users\/2340"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/comments?post=64"}],"version-history":[{"count":11,"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/pages\/64\/revisions"}],"predecessor-version":[{"id":76,"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/pages\/64\/revisions\/76"}],"wp:attachment":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/media?parent=64"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":31,"date":"2025-09-30T19:07:57","date_gmt":"2025-09-30T19:07:57","guid":{"rendered":"https:\/\/blogs.vcu.edu\/mhrg\/?page_id=31"},"modified":"2025-09-30T19:11:08","modified_gmt":"2025-09-30T19:11:08","slug":"people","status":"publish","type":"page","link":"https:\/\/blogs.vcu.edu\/mhrg\/people\/","title":{"rendered":"People"},"content":{"rendered":"\n<div>\n\n  <p>Our research group focuses on theoretical as well as applied research in Computational Intelligence algorithms, such as Artificial Neural Networks, Fuzzy Logic Systems and Unsupervised Learning techniques. We are applying these methods in areas of Energy, Cyber Security, Human-Machine Interfacing, Intelligent Control Systems, Software Defined Networks, Robotics, Visualizations and others. Please check the list of publications of our recently published conference and journal papers.<\/p>\n\n  <!-- Person 1 -->\n  <div class=\"person\" style=\"display:flex;gap:20px;align-items:flex-start;margin-bottom:30px\">\n    <div class=\"person-image\" style=\"flex:0 0 135px\">\n      <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/blogs.vcu.edu\/mhrg\/wp-content\/uploads\/sites\/1488\/2025\/09\/Milos.jpg\" alt=\"Milos Manic\" width=\"135\" height=\"177\" \/>\n    <\/div>\n    <div class=\"person-info\" style=\"flex:1\">\n      <strong><a href=\"http:\/\/computer-science.egr.vcu.edu\/faculty\/milos-manic\/\">Milos Manic<\/a>, Ph.D., FIEEE, Director, Modern Heuristics Research Group (MHRG); Director, VCU Cybersecurity Center:<\/strong>\n      <ul>\n        <li>Cybersecurity\/Resilience<\/li>\n        <li>Deep Learning<\/li>\n        <li>Trustworthy AI\/XAI<\/li>\n        <li>Energy\/Critical Infrastructures<\/li>\n        <li>Intelligent control<\/li>\n        <li>Network security and infrastructure protection<\/li>\n      <\/ul>\n    <\/div>\n  <\/div>\n\n  <!-- Person 2 -->\n  <div class=\"person\" style=\"display:flex;gap:20px;align-items:flex-start;margin-bottom:30px\">\n    <div class=\"person-image\" style=\"flex:0 0 132px\">\n      <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/blogs.vcu.edu\/mhrg\/wp-content\/uploads\/sites\/1488\/2025\/09\/sandun.jpg\" alt=\"Harindra Sandun Mavikumbure\" width=\"132\" height=\"132\" \/>\n    <\/div>\n    <div class=\"person-info\" style=\"flex:1\">\n      <strong>Harindra Sandun Mavikumbure<\/strong>, Computer Science Ph.D. Candidate, Virginia Commonwealth University, Richmond, VA\n      <ul>\n        <li>Unsupervised Deep Learning<\/li>\n        <li>Out of Distribution Detection<\/li>\n        <li>Embedded Representation Learning<\/li>\n      <\/ul>\n    <\/div>\n  <\/div>\n\n  <!-- Person 3 -->\n  <div class=\"person\" style=\"display:flex;gap:20px;align-items:flex-start;margin-bottom:30px\">\n    <div class=\"person-image\" style=\"flex:0 0 129px\">\n      <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/blogs.vcu.edu\/mhrg\/wp-content\/uploads\/sites\/1488\/2025\/09\/Victor_Cobilean.jpg\" alt=\"Victor Cobilean\" width=\"129\" height=\"172\" \/>\n    <\/div>\n    <div class=\"person-info\" style=\"flex:1\">\n      <strong>Victor Cobilean<\/strong>, Computer Science Ph.D. Student, Virginia Commonwealth University, Richmond, VA\n      <ul>\n        <li>Robot Learning<\/li>\n        <li>Deep Learning<\/li>\n        <li>Reinforcement Learning<\/li>\n      <\/ul>\n    <\/div>\n  <\/div>\n\n  <!-- Additional people follow same structure... -->\n\n<\/div>\n\n\n","protected":false},"excerpt":{"rendered":"<p>Our research group focuses on theoretical as well as applied research in Computational Intelligence algorithms, such as Artificial Neural Networks, Fuzzy Logic Systems and Unsupervised Learning techniques. We are applying these methods in areas of Energy, Cyber Security, Human-Machine Interfacing, Intelligent Control Systems, Software Defined Networks, Robotics, Visualizations and others. Please check the list of [&hellip;]<\/p>\n","protected":false},"author":2252,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-31","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/pages\/31","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/users\/2252"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/comments?post=31"}],"version-history":[{"count":0,"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/pages\/31\/revisions"}],"wp:attachment":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/media?parent=31"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":22,"date":"2025-09-30T18:14:45","date_gmt":"2025-09-30T18:14:45","guid":{"rendered":"https:\/\/blogs.vcu.edu\/mhrg\/?page_id=22"},"modified":"2026-09-06T13:19:05","modified_gmt":"2026-09-06T13:19:05","slug":"media","status":"publish","type":"page","link":"https:\/\/blogs.vcu.edu\/mhrg\/media\/","title":{"rendered":"Media"},"content":{"rendered":"\n<div id=\"mhrg-media-wide\" style=\"--mhrg-breakout:clamp(0px,calc(300vw - 3069px),51%);width:calc(100% + var(--mhrg-breakout));margin-left:calc(-1 * var(--mhrg-breakout))\">\n<p style=\"font-size:1.05rem;line-height:1.65;margin:0 0 1.6rem;color:#444\">Selected awards, public engagement, cybersecurity outreach, interviews, and media highlights from the Modern Heuristic Research Group.<\/p>\n<section aria-labelledby=\"media-highlights\">\n<h2 id=\"media-highlights\" style=\"text-align:left;margin:0 0 1.1rem;padding-bottom:.45rem;border-bottom:3px solid #ffb300\">Media Highlights<\/h2>\n<article style=\"display:flex;align-items:flex-start;gap:1.25rem;border:1px solid #ddd;padding:1.1rem;border-radius:6px;background:#fff;margin:0 0 1rem;flex-wrap:wrap\">\n<div style=\"flex:0 0 180px;max-width:100%\"><img decoding=\"async\" src=\"https:\/\/blogs.vcu.edu\/mhrg\/wp-content\/uploads\/sites\/1488\/2025\/09\/manic_award_leadership_award.png\" alt=\"Prof. Milos Manic receiving the FBI Director&apos;s Community Leadership Award\" style=\"width:100%;height:auto;border-radius:4px;display:block\"><\/div>\n<div style=\"flex:1;min-width:260px\">\n<p style=\"margin:0 0 .3rem;font-size:.9rem;color:#666\"><em>Mar 27, 2024<\/em><\/p>\n<h3 style=\"margin:0 0 .65rem;font-size:1.35rem;line-height:1.25\"><a href=\"https:\/\/www.linkedin.com\/feed\/update\/urn:li:activity:7179115043223961601\/\" target=\"_blank\" rel=\"noopener\">Prof. Milos Manic receives the Director\u2019s Community Leadership Award<\/a><\/h3>\n<p style=\"margin:0 0 .45rem;line-height:1.6\">FBI Richmond congratulated Milos Manic, leader of the Virginia Commonwealth University Cybersecurity Center, for receiving the Director\u2019s Community Leadership Award.<\/p>\n<p style=\"margin:.45rem 0 0\">\n<a href=\"https:\/\/www.linkedin.com\/feed\/update\/urn:li:activity:7179115043223961601\/\" target=\"_blank\" rel=\"noopener\" style=\"display:inline-block;padding:.45rem .7rem;border:1px solid #d7d7d7;border-left:4px solid #ffb300;text-decoration:none;font-weight:700;background:#fff;margin:.35rem .4rem 0 0\">Read More<\/a>\n<\/p><\/div><\/article>\n<article style=\"display:flex;align-items:flex-start;gap:1.25rem;border:1px solid #ddd;padding:1.1rem;border-radius:6px;background:#fff;margin:0 0 1rem;flex-wrap:wrap\">\n<div style=\"flex:0 0 180px;max-width:100%\"><img decoding=\"async\" src=\"https:\/\/blogs.vcu.edu\/mhrg\/wp-content\/uploads\/sites\/1488\/2025\/09\/manic_chat.png\" alt=\"Prof. Milos Manic participating in an AI ethics fireside chat\" style=\"width:100%;height:auto;border-radius:4px;display:block\"><\/div>\n<div style=\"flex:1;min-width:260px\">\n<p style=\"margin:0 0 .3rem;font-size:.9rem;color:#666\"><em>Feb 22, 2024<\/em><\/p>\n<h3 style=\"margin:0 0 .65rem;font-size:1.35rem;line-height:1.25\"><a href=\"https:\/\/www.linkedin.com\/posts\/zachariah-rodriguez-mcdonough-597b7b119_engineeringweek-activity-7166905378683752448-C0UE\/\" target=\"_blank\" rel=\"noopener\">Prof. Milos Manic participates in AI ethics fireside chat<\/a><\/h3>\n<p style=\"margin:0 0 .45rem;line-height:1.6\">To celebrate Engineering Week, the AI Ethics Fireside Chat examined the impact of AI across areas including game development, content creation, and education.<\/p>\n<p style=\"margin:.45rem 0 0\">\n<a href=\"https:\/\/www.linkedin.com\/posts\/zachariah-rodriguez-mcdonough-597b7b119_engineeringweek-activity-7166905378683752448-C0UE\/\" target=\"_blank\" rel=\"noopener\" style=\"display:inline-block;padding:.45rem .7rem;border:1px solid #d7d7d7;border-left:4px solid #ffb300;text-decoration:none;font-weight:700;background:#fff;margin:.35rem .4rem 0 0\">Read More<\/a>\n<\/p><\/div><\/article>\n<article style=\"display:flex;align-items:flex-start;gap:1.25rem;border:1px solid #ddd;padding:1.1rem;border-radius:6px;background:#fff;margin:0 0 1rem;flex-wrap:wrap\">\n<div style=\"flex:0 0 180px;max-width:100%\"><img decoding=\"async\" src=\"https:\/\/blogs.vcu.edu\/mhrg\/wp-content\/uploads\/sites\/1488\/2025\/09\/IMG_0562.png\" alt=\"VCU Engineering and FBI Cyber Collegiate Academy\" style=\"width:100%;height:auto;border-radius:4px;display:block\"><\/div>\n<div style=\"flex:1;min-width:260px\">\n<p style=\"margin:0 0 .3rem;font-size:.9rem;color:#666\"><em>Oct 27, 2023<\/em><\/p>\n<h3 style=\"margin:0 0 .65rem;font-size:1.35rem;line-height:1.25\"><a href=\"https:\/\/blogs.vcu.edu\/engineering\/2023\/10\/27\/vcu-hosts-richmond-fbi-cyber-collegiate-academy-ushering-over-200-students-into-a-month-long-cybersecurity-awareness-journey\/\" target=\"_blank\" rel=\"noopener\">VCU Engineering and the FBI presented the Cyber Collegiate Academy<\/a><\/h3>\n<p style=\"margin:0 0 .45rem;line-height:1.6\">Nearly 200 students completed the Richmond FBI Cyber Collegiate Academy with VCU Engineering. Students from VCU, the University of Richmond, and Virginia Union University learned about cybersecurity and law enforcement from FBI field professionals.<\/p>\n<p style=\"margin:.35rem 0 .2rem;line-height:1.55\"><strong>Hosted by Milos Manic, Ph.D., FIEEE, FCCI.<\/strong><\/p>\n<p style=\"margin:.45rem 0 0\">\n<a href=\"https:\/\/blogs.vcu.edu\/engineering\/2023\/10\/27\/vcu-hosts-richmond-fbi-cyber-collegiate-academy-ushering-over-200-students-into-a-month-long-cybersecurity-awareness-journey\/\" target=\"_blank\" rel=\"noopener\" style=\"display:inline-block;padding:.45rem .7rem;border:1px solid #d7d7d7;border-left:4px solid #ffb300;text-decoration:none;font-weight:700;background:#fff;margin:.35rem .4rem 0 0\">VCU Engineering News<\/a>\n<a href=\"https:\/\/www.instagram.com\/p\/Cy6l-0yJkrv\/?igsh=MTgzOWN0emNkNWFwNA==\" target=\"_blank\" rel=\"noopener\" style=\"display:inline-block;padding:.45rem .7rem;border:1px solid #d7d7d7;border-left:4px solid #ffb300;text-decoration:none;font-weight:700;background:#fff;margin:.35rem .4rem 0 0\">Instagram<\/a>\n<\/p><\/div><\/article>\n<article style=\"display:flex;align-items:flex-start;gap:1.25rem;border:1px solid #ddd;padding:1.1rem;border-radius:6px;background:#fff;margin:0 0 1rem;flex-wrap:wrap\">\n<div style=\"flex:0 0 180px;max-width:100%\"><img decoding=\"async\" src=\"https:\/\/blogs.vcu.edu\/mhrg\/wp-content\/uploads\/sites\/1488\/2025\/09\/NAI_Award-scaled-1.jpg\" alt=\"Prof. Milos Manic National Academy of Inventors Senior Member induction\" style=\"width:100%;height:auto;border-radius:4px;display:block\"><\/div>\n<div style=\"flex:1;min-width:260px\">\n<p style=\"margin:0 0 .3rem;font-size:.9rem;color:#666\"><em>June 26, 2023<\/em><\/p>\n<h3 style=\"margin:0 0 .65rem;font-size:1.35rem;line-height:1.25\"><a href=\"https:\/\/news.vcu.edu\/article\/2023\/06\/vcu-cybersecurity-center-leader-milos-manic-honored-by-the-national-academy-of-inventors\" target=\"_blank\" rel=\"noopener\">Prof. Milos Manic inducted as a Senior Member of the National Academy of Inventors, Class of 2023<\/a><\/h3>\n<p style=\"margin:0 0 .45rem;line-height:1.6\">Prof. Milos Manic was inducted as a Senior Member of the National Academy of Inventors during the NAI\u2019s 12th Annual Meeting in Washington, D.C. The distinction recognizes innovators whose patents, licensing, commercialization, and technologies have demonstrated or aspire to create societal impact.<\/p>\n<p style=\"margin:.45rem 0 0\">\n<a href=\"https:\/\/news.vcu.edu\/article\/2023\/06\/vcu-cybersecurity-center-leader-milos-manic-honored-by-the-national-academy-of-inventors\" target=\"_blank\" rel=\"noopener\" style=\"display:inline-block;padding:.45rem .7rem;border:1px solid #d7d7d7;border-left:4px solid #ffb300;text-decoration:none;font-weight:700;background:#fff;margin:.35rem .4rem 0 0\">VCU News<\/a>\n<a href=\"https:\/\/iten.ieee-ies.org\/featured-news\/2023\/milos-manic-was-inducted-as-a-senior-member-into-the-united-states-national-academy-of-inventors\/\" target=\"_blank\" rel=\"noopener\" style=\"display:inline-block;padding:.45rem .7rem;border:1px solid #d7d7d7;border-left:4px solid #ffb300;text-decoration:none;font-weight:700;background:#fff;margin:.35rem .4rem 0 0\">IEEE IES<\/a>\n<\/p><\/div><\/article>\n<article style=\"display:flex;align-items:flex-start;gap:1.25rem;border:1px solid #ddd;padding:1.1rem;border-radius:6px;background:#fff;margin:0 0 1rem;flex-wrap:wrap\">\n<div style=\"flex:0 0 180px;max-width:100%\"><img decoding=\"async\" src=\"https:\/\/blogs.vcu.edu\/mhrg\/wp-content\/uploads\/sites\/1488\/2025\/09\/manic_interview.png\" alt=\"Prof. Milos Manic CBS 6 interview about ransomware\" style=\"width:100%;height:auto;border-radius:4px;display:block\"><\/div>\n<div style=\"flex:1;min-width:260px\">\n<p style=\"margin:0 0 .3rem;font-size:.9rem;color:#666\"><em>June 01, 2023<\/em><\/p>\n<h3 style=\"margin:0 0 .65rem;font-size:1.35rem;line-height:1.25\"><a href=\"https:\/\/www.youtube.com\/watch?v=WcRUhxOP2S4\" target=\"_blank\" rel=\"noopener\">Prof. Manic discusses the Middlesex County Public Schools ransomware attack with CBS 6<\/a><\/h3>\n<p style=\"margin:0 0 .45rem;line-height:1.6\">Prof. Manic discusses how ransomware can encrypt a victim\u2019s data and make systems inaccessible while attackers demand payment for restoration.<\/p>\n<p style=\"margin:.45rem 0 0\">\n<a href=\"https:\/\/www.youtube.com\/watch?v=WcRUhxOP2S4\" target=\"_blank\" rel=\"noopener\" style=\"display:inline-block;padding:.45rem .7rem;border:1px solid #d7d7d7;border-left:4px solid #ffb300;text-decoration:none;font-weight:700;background:#fff;margin:.35rem .4rem 0 0\">Watch Video<\/a>\n<\/p><\/div><\/article>\n<article style=\"display:flex;align-items:flex-start;gap:1.25rem;border:1px solid #ddd;padding:1.1rem;border-radius:6px;background:#fff;margin:0 0 1rem;flex-wrap:wrap\">\n<div style=\"flex:0 0 180px;max-width:100%\"><img decoding=\"async\" src=\"https:\/\/blogs.vcu.edu\/mhrg\/wp-content\/uploads\/sites\/1488\/2025\/09\/Screenshot-from-2023-07-06-09-03-34.png\" alt=\"VCU Artificial Intelligence in the Learning Environment panel discussion\" style=\"width:100%;height:auto;border-radius:4px;display:block\"><\/div>\n<div style=\"flex:1;min-width:260px\">\n<p style=\"margin:0 0 .3rem;font-size:.9rem;color:#666\"><em>Feb 03, 2023<\/em><\/p>\n<h3 style=\"margin:0 0 .65rem;font-size:1.35rem;line-height:1.25\"><a href=\"https:\/\/news.vcu.edu\/article\/2023\/02\/faculty-staff-discuss-the-implications-of-ai-such-as-chatgpt-on-campus\" target=\"_blank\" rel=\"noopener\">Faculty and staff discuss the implications of AI, such as ChatGPT, on campus<\/a><\/h3>\n<p style=\"margin:0 0 .45rem;line-height:1.6\">Prof. Manic joined a VCU panel discussion on the implications of artificial intelligence in the learning environment, including how emerging AI tools may affect teaching, learning, and the future of work.<\/p>\n<p style=\"margin:.45rem 0 0\">\n<a href=\"https:\/\/news.vcu.edu\/article\/2023\/02\/faculty-staff-discuss-the-implications-of-ai-such-as-chatgpt-on-campus\" target=\"_blank\" rel=\"noopener\" style=\"display:inline-block;padding:.45rem .7rem;border:1px solid #d7d7d7;border-left:4px solid #ffb300;text-decoration:none;font-weight:700;background:#fff;margin:.35rem .4rem 0 0\">Read More<\/a>\n<a href=\"https:\/\/vcu.mediaspace.kaltura.com\/media\/Artificial+Intelligence+in+the+Learning+Environment+Panel+Discussion\/1_bxfqcwss\" target=\"_blank\" rel=\"noopener\" style=\"display:inline-block;padding:.45rem .7rem;border:1px solid #d7d7d7;border-left:4px solid #ffb300;text-decoration:none;font-weight:700;background:#fff;margin:.35rem .4rem 0 0\">Watch Panel<\/a>\n<\/p><\/div><\/article>\n<\/section>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>Selected awards, public engagement, cybersecurity outreach, interviews, and media highlights from the Modern Heuristic Research Group. Media Highlights Mar 27, 2024 Prof. Milos Manic receives the Director\u2019s Community Leadership Award FBI Richmond congratulated Milos Manic, leader of the Virginia Commonwealth University Cybersecurity Center, for receiving the Director\u2019s Community Leadership Award. Read More Feb 22, 2024 [&hellip;]<\/p>\n","protected":false},"author":2340,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-22","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/pages\/22","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/users\/2340"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/comments?post=22"}],"version-history":[{"count":1,"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/pages\/22\/revisions"}],"predecessor-version":[{"id":85,"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/pages\/22\/revisions\/85"}],"wp:attachment":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/media?parent=22"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":20,"date":"2025-09-30T17:40:09","date_gmt":"2025-09-30T17:40:09","guid":{"rendered":"https:\/\/blogs.vcu.edu\/mhrg\/?page_id=20"},"modified":"2026-09-05T21:14:08","modified_gmt":"2026-09-05T21:14:08","slug":"grants","status":"publish","type":"page","link":"https:\/\/blogs.vcu.edu\/mhrg\/grants\/","title":{"rendered":"Grants"},"content":{"rendered":"\n<div id=\"mhrg-grants-wide\" style=\"--mhrg-breakout:clamp(0px,calc(300vw - 3069px),51%);width:calc(100% + var(--mhrg-breakout));margin-left:calc(-1 * var(--mhrg-breakout))\">\n<div id=\"grant-sections\">\n<nav aria-label=\"Grant sections\" style=\"display:flex;flex-wrap:wrap;gap:.55rem;margin:0 0 2rem\">\n<a href=\"#current-grants\" style=\"display:inline-block;padding:.55rem .8rem;border:1px solid #d7d7d7;border-left:4px solid #ffb300;text-decoration:none;font-weight:700;background:#fff\">Current Grants<\/a>\n<a href=\"#consortium-grants\" style=\"display:inline-block;padding:.55rem .8rem;border:1px solid #d7d7d7;border-left:4px solid #ffb300;text-decoration:none;font-weight:700;background:#fff\">Consortium Grants<\/a>\n<a href=\"#completed-grants\" style=\"display:inline-block;padding:.55rem .8rem;border:1px solid #d7d7d7;border-left:4px solid #ffb300;text-decoration:none;font-weight:700;background:#fff\">Completed Grants<\/a>\n<\/nav>\n<\/div>\n<section aria-labelledby=\"current-grants\">\n<h2 id=\"current-grants\" style=\"text-align:left;margin:2rem 0 1rem;padding-bottom:.45rem;border-bottom:3px solid #ffb300\">Current Grants<\/h2><article data-grant-entry=\"1\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">\u201cScalable AI-driven Cybersecurity for Small and Medium Critical Manufacturing\u201d,<\/strong><em style=\"font-weight:400\"> Commonwealth Cyber Initiative (CCI) <a href=\"https:\/\/cyberinitiative.org\/proposals\/2025-calls\/critical-infrastructure-cybersecurity.html\">program<\/a>, 01\/01\/2026 \u2013 12\/31\/2026, PI: Shima Mohebbi, Co-PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"2\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">\u201cAI Meets the City: Real-World Deployment of Intelligent Systems\u201d,<\/strong><em style=\"font-weight:400\"> Central Virginia Node Commonwealth Cyber Initiative (CCI-CVN) <a href=\"https:\/\/cci-cvn.org\/call-for-proposals-cvn-research-grant-fy26\/\">program<\/a>, 01\/01\/2026 \u2013 12\/31\/2026, PI: Sherif Abdelwahed, Co-PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"3\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">\u201cConsortium for enabling technologies &amp;innovation (ETI 2.0)\u201d,<\/strong><em style=\"font-weight:400\"> National Nuclear Security Administration (NNSA), 03\/2025-03\/2030, PI: Georgia Tech (lead); Co-PIs: Milos Manic (VCU PI for three faculties total) with 12 universities and 12 national laboratories; VCU responsibility: Cybersecurity and AI in nuclear nonproliferation. <a href=\"https:\/\/www.energy.gov\/nnsa\/articles\/nnsa-awards-50-million-cooperative-agreements-two-university-consortia-support\">link<\/a><\/em><\/p><\/article><article data-grant-entry=\"4\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">\u201cCommonwealth Center for Advanced Computing (FKA C4)\u201d,<\/strong><em style=\"font-weight:400\"> Virginia General Assembly, 9\/01\/2022 \u2013 present, , Milos Manic (Director)<\/em><\/p><\/article>\n\n\n\n\n<p style=\"margin:1.1rem 0 0\"><a href=\"#grant-sections\" style=\"font-weight:700\">Back to grant sections<\/a><\/p>\n<\/section>\n<section aria-labelledby=\"consortium-grants\">\n<h2 id=\"consortium-grants\" style=\"text-align:left;margin:2rem 0 1rem;padding-bottom:.45rem;border-bottom:3px solid #ffb300\">Consortium Grants<\/h2><article data-grant-entry=\"5\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">\u201cBowie State University Influence Operations National Innovation Center (BIONIC) \u2013The initiative for analytics and digital engagement R &amp;D to mitigate against Adversarial Malign Influence\u201d,<\/strong><em style=\"font-weight:400\"> <b>Core Academia Partner<\/b>\n                                                : Milos Manic, Co-Lead (VCU with other 3 core members), 2023-present.<\/em><\/p><\/article><article data-grant-entry=\"6\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">US Cybersecurity Manufacturing Innovation Institute \u2013CyManII\u201d,<\/strong><em style=\"font-weight:400\"> <b>Strategic<\/b>\n<b>research co-lead<\/b>\n                                                : Milos Manic, VCU Lead, 2021 -2026.<\/em><\/p><\/article>\n\n\n<p style=\"margin:1.1rem 0 0\"><a href=\"#grant-sections\" style=\"font-weight:700\">Back to grant sections<\/a><\/p>\n<\/section>\n<section aria-labelledby=\"completed-grants\">\n<h2 id=\"completed-grants\" style=\"text-align:left;margin:2rem 0 1rem;padding-bottom:.45rem;border-bottom:3px solid #ffb300\">Completed Grants<\/h2><article data-grant-entry=\"7\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">\u201cComputing Lidar Large Data Sets\u201d,<\/strong><em style=\"font-weight:400\"> Virginia Innovation Partnership Corporation (VIPC), 09\/01\/2024 \u2013 08\/01\/2025,  PI: Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"8\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">\u201cImproving Patient Outcome Through Artificial Intelligence-Aided Radiation Treatment\u201d,<\/strong><em style=\"font-weight:400\"> Wright Center Translational Science Award program, 08\/01\/2024 \u2013 08\/01\/2025, PI: Lulin Yuan,  Co-PI: Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"9\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">\u201cState Manufacturing Leadership Program (DE-FOA-0002969)\u201d,<\/strong><em style=\"font-weight:400\"> Department of Energy, National Energy Technology Laboratory, 10\/01\/2023 \u2013 10\/01\/2025, Bill Donohoe (PI),\u00a0 Milos Manic (Co-PI)<\/em><\/p><\/article><article data-grant-entry=\"10\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">\u201cQuantized transformers for building energy forecasting in smart cities: Cybersecure IoT devices with AI and ML on the edge\u201d,<\/strong><em style=\"font-weight:400\"> Commonwealth Cyber Initiative, 09\/01\/2022-05\/01\/2024, PI: Jayasimha Atulasimha, Co-PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"11\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">\u201cCyber Physical Resilience for Security, Safety and Integrity Assurance in Medical Devices\u201d,<\/strong><em style=\"font-weight:400\"> Commonwealth Cyber Initiative, 09\/01\/2022-05\/01\/2024, PI: Carl Elks, Co-PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"12\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Secure neuromorphic computing on embedded IoT devices for building energy management in smart cities \u201c<\/strong><em style=\"font-weight:400\"> \u201c\n                                                , Commonwealth Cyber Initiative, 09\/2021-07\/2023, PI: Jayasimha Atulasimha, Co-PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"13\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">\u201cRetropubic Sling Virtual Reality Training System\u201d<\/strong><em style=\"font-weight:400\"> , Value and Efficiency Teaching and Research (VETAR), VCU Health (VCUHS), 03\/2021-9\/2022, PI: Lauren Siff, Co-PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"14\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">\u201cElectric Vehicle Integrated Safety, Intelligence, OperatioNs (eVISION)\u201d,<\/strong><em style=\"font-weight:400\"> Battelle Energy Alliance\/INL, 2021-2025, PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"15\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">\u201cINL Fleet &amp;Technology Support,\u201d,<\/strong><em style=\"font-weight:400\"> 2021-2025, University PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"16\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">\u201cEmbedding Expert Bias in Machine Learning for Cybersecurity of Critical Infrastructures\u201d<\/strong><em style=\"font-weight:400\"> , Virginia Innovation Partnership Authority, Commonwealth Cyber Initiative, Cybersecurity Innovation Bridge Fund, 2021 \u20132023, PI: Milos Manic, Co-PIs: Chathurika S. Wickramasinghe, Daniel L. Marino.<\/em><\/p><\/article><article data-grant-entry=\"17\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">CCI Smart Cities: Cyber and Physically Secure Communities: Resilient, Sustainable, Energy Efficient<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Commonwealth Cyber Initiative, Central Virginia Node, 06\/2020-08\/2021, PI Milos Manic (VCU), Co-PIs: Irfan Ahmed, Eyuphan Bulut, Changqing Luo.<\/em><\/p><\/article><article data-grant-entry=\"18\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Protective Relay Master Fault Detector AI Algorithm<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Battelle Energy Alliance\/INL, 05\/01\/2020-09\/30\/2022, PI Milos Manic (VCU).<\/em><\/p><\/article><article data-grant-entry=\"19\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Infrared Image Classification via Transfer Learning<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, U.S. Army Night Vision and Electronic Sensors Directorate (NVESD), 03\/06\/2020-01\/28\/2021, PI Milos Manic (VCU).<\/em><\/p><\/article><article data-grant-entry=\"20\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Fellowship<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Commonwealth Cyber Initiative, Virginia Polytechnic Institute and State University, 2020-08\/2023, PI Milos Manic (VCU).<\/em><\/p><\/article><article data-grant-entry=\"21\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Cyber-Physical Anomaly Detection for Wind<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, DOE\/BEA, 11\/2019-09\/2022, PI Milos Manic (VCU).<\/em><\/p><\/article><article data-grant-entry=\"22\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Solar-Assisted State-Aware and ResillienT Infrastructure System Data Driven Models for Threat Detection and Visualization<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, DOE\/BEA, 10\/2019-08\/2022, PI Milos Manic (VCU).<\/em><\/p><\/article><article data-grant-entry=\"23\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Autism Center for Excellence: Data-Driven support for Human Interaction,<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, VA Department of Education\/VCU RRTC, 105\/10\/2019 \u20138\/24\/2019, PI: Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"24\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Advanced Data Analytics Toolbox and Sensitivity Analysis in Support of Smart High Precision Experiments and Data Management,<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, BEA\/INL, 08\/2019-12\/2021, PI Milos Manic (VCU), Co-PI Pavel Tsvetkov (TAMU).<\/em><\/p><\/article><article data-grant-entry=\"25\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">2019 Innovation Fund: Knowledge extraction and explainable machine learning in factories of the future<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Commonwealth Center for Advanced Manufacturing (CCAM) , 08\/2019-6\/2021, PI Milos Manic (VCU).<\/em><\/p><\/article><article data-grant-entry=\"26\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">NSF US Ignite: Collaborative Research: Focus Area 1: Rapid and Resilient Critical Data Sourcing for Public Safety and Emergency Response,<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, NSF Award ID: 1647189, $389,973, 02\/2017\u2013 30\/02\/2020, PI: Eyuphan Bulut, Co-PI: Milos Manic.<a href=\"https:\/\/sites.google.com\/vcu.edu\/us-ignite\/home?authuser=0\">Read More..<\/a><\/em><\/p><\/article><article data-grant-entry=\"27\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Development of Gap Analysis and Design Prototype for Cyber-Physical Assessment and Visualization,<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, BEA\/INL, 02\/2017\u2013 06\/30\/2018, PI: Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"28\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Resilient, Scalable Cyber State Awareness of Industrial Control System Networks To Threat: Data Driven Modeling,<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Battelle Energy Alliance (INL), 11\/2016\u2013 09\/2019, PI: Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"29\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Computational Intelligence Based Optimization and Control for Reliability and Product Quality in Biomass (PDU),<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, DOE\/INL, 04\/2016 \u2013 09\/30\/2019, University PI: Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"30\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">National Workshop on Resilience Research for Critical Infrastructure: Current Status and Challenges,<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, NSF Award ID: 1551895, $75,000, 09\/2015-08-2016, PI Milos Manic. <a href=\"https:\/\/cps-vo.org\/group\/NWRR2015\" style=\"background-color: #f2f2f2\">Read More<\/a><\/em><\/p><\/article><article data-grant-entry=\"31\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">INL Fleet &amp;Simulator Support,<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, 01\/2015-09\/2022, University PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"32\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Biomass energy conversion,<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Department of Energy\/Idaho National Laboratory, 08\/2014 -09\/2014, PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"33\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">All Hazards Critical Infrastructure Knowledge Framework,<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Department of Energy\/Idaho National Laboratory, 02\/2014 \u201309\/2016, University PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"34\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Grid-Centric Demonstration of Resilience Technologies<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Department of Energy\/Idaho National Laboratory, 02\/2014 \u201309\/2015, University PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"35\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Demonstrating Hybrid Heat Transport and Energy Conversion System Performance Characterization Using Intelligent Control Systems<\/strong><em style=\"font-weight:400\"> \u201c\n                                                ,\u201d, Nuclear Energy University Program (NEUP), 10\/2012 \u201309\/2015, $876,997, $876,997, Co-PI Milos Manic (PI Akira Tokuhiro).<\/em><\/p><\/article><article data-grant-entry=\"36\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">EAGER: US Ignite: Network Slicing for Emergency Communications,<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, NSF Award ID: 1258486, 10\/2012-09\/2015, $275,533, PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"37\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Multi-agent Analysis to Characterize Complex Infrastructure Interdependencies,<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Department of Energy\/Idaho National Laboratory, 11\/2011 \u201309\/2013, University PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"38\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Targeted Energy Management Toolset for Comfort and Savings Based on Advanced Computational Intelligence,<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Department of Energy\/Idaho National Laboratory, 03\/2011 \u201309\/2013, University PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"39\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Unrestricted Gift,<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Fujitsu Laboratories of America, Inc, March 2011, $40,000, PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"40\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">\u201cIntelligent Sensor and Data Fusion<\/strong><em style=\"font-weight:400\"> ,\u201d, DOE RC-CEDS-2010A, Department of Energy, 12\/2010 \u201309\/2012, Co-PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"41\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Development and Demonstration for National Fuel Efficiency,<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Department of Energy\/Idaho National Laboratory, 11\/2010 \u201309\/2013, University PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"42\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">\u2018Known Secure \u2019Process Measurements For Attack Detection,<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201dDepartment of Energy\/Idaho National Laboratory, 11\/2010 \u201309\/2013, University PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"43\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">\u201cExperimental Security Vulnerability Estimation,<\/strong><em style=\"font-weight:400\"> \u201dDepartment of Energy\/Idaho National Laboratory, 11\/2010 \u201309\/2013, University PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"44\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Energy Efficiency Driving<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Department of Energy\/Idaho National Laboratory, 09\/2010 \u201310\/2010, University PI Milos Manic<\/em><\/p><\/article><article data-grant-entry=\"45\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">UI-CAES Modeling and Simulation<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, IUC-ACE (Idaho Universities Consortium-Academic Center of Excellence), 04\/2010 \u201309\/2012, Co-PI Milos Manic (Co-PIs Jake Jacobson, Darryl Butt)<\/em><\/p><\/article><article data-grant-entry=\"46\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Advanced Adaptive Algorithms in Phased Array Ultrasonics for Materials Inspection<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Department of Energy\/Idaho National Laboratory, 11\/2009 \u201309\/2010, University Co-PI Milos Manic (University Co-PIs Michael Moles)<\/em><\/p><\/article><article data-grant-entry=\"47\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">AdDevelopment of State-of-Charge Technology for Zinc\/Air Battery Systems<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, MARCORSYSCOM, Naval Surface Warfare (M67854-08-C-6530) and SBIR Phase II, 11\/2009 \u201309\/2010, $200,000 University Partner Milos Manic (PI Herbert Hess)<\/em><\/p><\/article><article data-grant-entry=\"48\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">University of Idaho Sustainable Idaho Greening the Curriculum<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, University of Idaho, 11\/2009 \u201308\/2009, $3,000 Co-PI Milos Manic (PI: Akira Tokuhiro, CO-PI: Phongikaroon)<\/em><\/p><\/article><article data-grant-entry=\"49\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Control System Data Fusion<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Department of Energy\/Idaho National Laboratory, 02\/2009 \u201309\/2011, University PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"50\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Resilient Control System Network Agents<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Department of Energy\/Idaho National Laboratory, 06\/2008 \u201309\/2010, University PI Milos Manic.<\/em><\/p><\/article><article data-grant-entry=\"51\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">A Fuzzy Approach for Bluetooth Intrusion Detection on Mobile Devices<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Department of Energy\/Idaho National Laboratory, 11\/2006 \u201310\/2007, University PI Milos Manic<\/em><\/p><\/article><article data-grant-entry=\"52\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Technical Development, Battlespace Awareness through Critical Information and Interdependency Visual Integration Tool (CIIVIT)<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Department of the Air Force, $80,000, 07\/2006 \u201308\/2007, Co-PI Milos Manic (PI Donald Dudenhoeffer)<\/em><\/p><\/article><article data-grant-entry=\"53\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">IDAHO NSF EPSCoR RII: Idaho Experimental Watershed Network<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, NSF EPSCoR, 2006-2008, $77,000, PI Milos Manic<\/em><\/p><\/article><article data-grant-entry=\"54\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Integrating Decision Making with Engineering Process Simulations for the Assessment of Converting Biomass CO2 and Nuclear H2 to Synthetic Liquid Transportation Fuels<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Department of Energy\/Idaho National Laboratory, 10\/2005 \u201309\/2007, University PI Milos Manic<\/em><\/p><\/article><article data-grant-entry=\"55\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Integrated Network Analysis Prototype Based on Attack Graphs<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Department of Energy\/Idaho National Laboratory, 06\/2005 \u201309\/2005, University PI Milos Manic<\/em><\/p><\/article><article data-grant-entry=\"56\" style=\"padding:0 0 1rem;margin:0 0 1rem;border-bottom:1px solid #e5e5e5\"><p style=\"margin:0;line-height:1.62\"><strong style=\"font-style:normal\">Enterprise Virtual Array (EVA) Performability Analysis<\/strong><em style=\"font-weight:400\"> \u201c\n                                                \u201c, Hewlett-Packard, 06\/2004 \u201305\/2005, $24,000, PI Milos Manic<\/em><\/p><\/article>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n<\/section>\n<p style=\"margin:2rem 0 0\"><a href=\"#grant-sections\" style=\"font-weight:700\">Back to grant sections<\/a><\/p>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>Current Grants Consortium Grants Completed Grants Current Grants \u201cScalable AI-driven Cybersecurity for Small and Medium Critical Manufacturing\u201d, Commonwealth Cyber Initiative (CCI) program, 01\/01\/2026 \u2013 12\/31\/2026, PI: Shima Mohebbi, Co-PI Milos Manic. \u201cAI Meets the City: Real-World Deployment of Intelligent Systems\u201d, Central Virginia Node Commonwealth Cyber Initiative (CCI-CVN) program, 01\/01\/2026 \u2013 12\/31\/2026, PI: Sherif Abdelwahed, Co-PI [&hellip;]<\/p>\n","protected":false},"author":2340,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-20","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/pages\/20","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/users\/2340"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/comments?post=20"}],"version-history":[{"count":3,"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/pages\/20\/revisions"}],"predecessor-version":[{"id":80,"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/pages\/20\/revisions\/80"}],"wp:attachment":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/media?parent=20"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":2,"date":"2025-08-26T15:11:55","date_gmt":"2025-08-26T15:11:55","guid":{"rendered":"https:\/\/blogs.vcu.edu\/mhrg\/?page_id=2"},"modified":"2026-09-06T13:14:59","modified_gmt":"2026-09-06T13:14:59","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/blogs.vcu.edu\/mhrg\/","title":{"rendered":"Welcome"},"content":{"rendered":"\n<div id=\"mhrg-home-about-wide\" style=\"--mhrg-breakout:clamp(0px,calc(300vw - 3069px),51%);width:calc(100% + var(--mhrg-breakout));margin-left:calc(-1 * var(--mhrg-breakout))\">\n  <section aria-labelledby=\"about-us\">\n    <h2 id=\"about-us\" style=\"text-align:left;margin:0 0 1rem;padding-bottom:.45rem;border-bottom:3px solid #ffb300\">About Us<\/h2>\n\n    <p style=\"font-size:1.05rem;line-height:1.65;margin:0 0 1rem\">\n      The Modern Heuristic Research Group (MHRG) develops\n      <strong>artificial intelligence, machine learning, and computational intelligence<\/strong>\n      methods for complex cyber-physical, autonomous, and human-interactive systems.\n      Our research emphasizes trustworthy and deployable intelligence, including\n      <em>self-supervised learning, explainable and responsible AI, adversarial learning,\n      generative and agentic AI, and human-supervised decision support<\/em>.\n    <\/p>\n\n    <p style=\"font-size:1.05rem;line-height:1.65;margin:0 0 1rem\">\n      Current work spans <em>industrial and critical-infrastructure cybersecurity,\n      smart manufacturing and cyber-physical testbeds, electric-vehicle and in-vehicle\n      network security, smart grids and energy systems, 2D\/3D computer vision, LiDAR and\n      robotic perception, and multimodal AI for healthcare and radiotherapy<\/em>.\n      Across these domains, we study anomaly detection, resilience, adversarial robustness,\n      structured and graph-based reasoning, intelligent sensing, and reproducible\n      system-level evaluation.\n    <\/p>\n\n    <p style=\"font-size:1.05rem;line-height:1.65;margin:0 0 1rem\">\n      This work builds on MHRG&#8217;s longstanding research in <em>artificial neural networks,\n      fuzzy logic systems, unsupervised learning, intelligent and adaptive control,\n      human-machine interfacing, software-defined networks, robotics, visualization,\n      energy systems, infrastructure modeling, and computational intelligence for\n      reliability, optimization, and decision support<\/em>. These established areas\n      continue to inform the group&#8217;s newer work in trustworthy AI, autonomous systems,\n      cybersecurity, and data-driven engineering.\n    <\/p>\n\n    <p style=\"font-size:1.05rem;line-height:1.65;margin:0 0 1.6rem\">\n      MHRG works across disciplinary boundaries and collaborates with academic,\n      government, and industry partners to move AI methods from algorithms and models\n      toward validated systems, testbeds, and real-world applications.\n    <\/p>\n  <\/section>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\" style=\"--mhrg-breakout:clamp(0px,calc(300vw - 3069px),51%);width:calc(100% + var(--mhrg-breakout));margin-left:calc(-1 * var(--mhrg-breakout));gap:1rem\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"border:1px solid #d7d7d7;border-left:4px solid #ffb300;background:#fff;padding:1rem 1.1rem\">\n\n<div>\n  <h3 style=\"margin:0 0 .55rem;font-size:1.2rem\">What We Do<\/h3>\n  <p style=\"margin:0;line-height:1.55\">\n    We develop and evaluate AI for secure, resilient, explainable, and human-centered\n    cyber-physical systems across cybersecurity, autonomy, perception, energy, and healthcare.\n  <\/p>\n<\/div>\n\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"border:1px solid #d7d7d7;border-left:4px solid #ffb300;background:#fff;padding:1rem 1.1rem\">\n\n<div>\n  <h3 style=\"margin:0 0 .55rem;font-size:1.2rem\"><a href=\"https:\/\/blogs.vcu.edu\/mhrg\/grants\/\">Our Projects<\/a><\/h3>\n  <p style=\"margin:0;line-height:1.55\">\n    Explore current and completed research projects supported by government,\n    university, and industry partners.\n  <\/p>\n<\/div>\n\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"border:1px solid #d7d7d7;border-left:4px solid #ffb300;background:#fff;padding:1rem 1.1rem\">\n\n<div>\n  <h3 style=\"margin:0 0 .55rem;font-size:1.2rem\"><a href=\"https:\/\/blogs.vcu.edu\/mhrg\/publications\/\">Our Publications<\/a><\/h3>\n  <p style=\"margin:0;line-height:1.55\">\n    Browse journal articles, conference papers, tutorials, book chapters,\n    and other research outputs from MHRG.\n  <\/p>\n<\/div>\n\n<\/div>\n<\/div>\n\n\n\n<div id=\"mhrg-home-videos-heading-wide\" style=\"--mhrg-breakout:clamp(0px,calc(300vw - 3069px),51%);width:calc(100% + var(--mhrg-breakout));margin-left:calc(-1 * var(--mhrg-breakout))\">\n  <h2 style=\"text-align:left;margin:2.5rem 0 1rem;padding-bottom:.45rem;border-bottom:3px solid #ffb300\">Learn More About Our Work<\/h2>\n<\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\" style=\"--mhrg-breakout:clamp(0px,calc(300vw - 3069px),51%);width:calc(100% + var(--mhrg-breakout));margin-left:calc(-1 * var(--mhrg-breakout));gap:1rem\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"border:1px solid #e0e0e0;background:#fff;padding:.45rem\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Modern Heuristics Research Group\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/EErMoVB1gvc?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"border:1px solid #e0e0e0;background:#fff;padding:.45rem\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Virtual Reality Lab\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/aKLpBxGY9mE?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"border:1px solid #e0e0e0;background:#fff;padding:.45rem\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Network Slicing for Emergency Communication: Demonstration\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/VR4lSp9_RPM?start=175&amp;feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n<\/div>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>About Us The Modern Heuristic Research Group (MHRG) develops artificial intelligence, machine learning, and computational intelligence methods for complex cyber-physical, autonomous, and human-interactive systems. Our research emphasizes trustworthy and deployable intelligence, including self-supervised learning, explainable and responsible AI, adversarial learning, generative and agentic AI, and human-supervised decision support. Current work spans industrial and critical-infrastructure cybersecurity, [&hellip;]<\/p>\n","protected":false},"author":2340,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-2","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/pages\/2","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/users\/2340"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/comments?post=2"}],"version-history":[{"count":3,"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":83,"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/pages\/2\/revisions\/83"}],"wp:attachment":[{"href":"https:\/\/blogs.vcu.edu\/mhrg\/wp-json\/wp\/v2\/media?parent=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}]