{"id":13,"date":"2017-07-07T20:21:07","date_gmt":"2017-07-07T20:21:07","guid":{"rendered":"http:\/\/utsaengineer.wpengine.com\/faculty-page-example\/?page_id=13"},"modified":"2022-12-01T05:11:24","modified_gmt":"2022-12-01T05:11:24","slug":"research","status":"publish","type":"page","link":"https:\/\/ceid.utsa.edu\/malamaniotis\/research\/","title":{"rendered":"Research"},"content":{"rendered":"<p><strong> Research Areas<\/strong><\/p>\n<ul>\n<li>Applied Artificial Intelligence<\/li>\n<li>Smart Electric Power Systems and Smart Grids<\/li>\n<li>Machine Learning in National Security Applications<\/li>\n<li>Artificial Intelligence in Smart Cities<\/li>\n<li>Intelligent Control Methods in Power Systems<\/li>\n<li>Intelligent Systems for Signal Processing, and Detection Algorithms<\/li>\n<li>Machine Learning and Pattern Recognition<\/li>\n<li>Nuclear Security and Nonproliferation<\/li>\n<li>AI in Radiation Detection<\/li>\n<li>AI in Nuclear Power Applications<\/li>\n<\/ul>\n<p><strong>Funded Research Projects and Grants<\/strong><\/p>\n<p><strong>\u201cCONNECT 2: Consortium for Nuclear Security Technologies,\u201d<\/strong> $5,000,000 \/\/ Co-PI: M. Alamaniotis \/\/ Dept. of Energy &#8211; National Nuclear Security Association (NNSA)<\/p>\n<p><strong>\u201cDeveloping the technical basis and risk assessment tools for flexible plant operation,\u201d<\/strong> $4,000,000 \/\/ Co-PI: M. Alamaniotis \/\/ Dept. of Energy &#8211; Nuclear Energy University Program<\/p>\n<p><strong>\u201cSelf-adaptive protection of inverter-based power systems using explainable artificial intelligence,\u201d<\/strong> $400,000 \/\/ PI: M. Alamaniotis \/\/ CPS-Energy<\/p>\n<p><strong>\u201cREU Site: Artificial Intelligence Powered Robotics in 5G,\u201d<\/strong> $406,000 \/\/Co-PI: M. Alamaniotis \/\/ National Science Foundation (NSF)<\/p>\n<p><strong>\u201cUTSA Faculty Development in Cybersecurity of Digital I&amp;C in Nuclear Power Plants Research and Education,\u201d<\/strong> $450,000 \/\/ Recipient: M. Alamaniotis \/\/ Nuclear Regulatory Commission (NRC)<\/p>\n<p><strong>\u201cPredicting Stroke Hemorrhagic Conversion with a Machine Learning Algorithm,\u201d<\/strong> $132,000 \/\/ PI: M. Alamaniotis \/\/ San Antonio Medical Foundation<\/p>\n<p><strong>\u201cIndoor Air Quality (IAQ) assessment of adhesive materials &amp; airtightness performance of air-sealing materials using mock-up building structures,\u201d<\/strong> $16,000 \/\/Co- PI: M. Alamaniotis \/\/ KANEKA Inc.<\/p>\n<p><strong>\u201cDevelopment of Sensor Performance Model of Microwave Cavity In-Core Flow Sensing for Advanced Reactor High Temperature Fluid,\u201d<\/strong> $1,000,000 \/\/ Co-PI: M. Alamaniotis \/\/ Dept. of Energy &#8211; Nuclear Energy University Program<\/p>\n<p><strong>\u201cCONNECT: Consortium for Nuclear Security Technologies,\u201d<\/strong> $3,000,000 \/\/ Co-PI: M. Alamaniotis \/\/ Dept. of Energy &#8211; National Nuclear Security Association (NNSA)<\/p>\n<p><strong>\u201cUTSA Sustainable Energy-Positive Energy Design,\u201d<\/strong> PI: A. Molina, Co-PI: M. Alamaniotis, N. Norouzi, UTSA Office of Sustainability<\/p>\n<p><strong>&#8220;Critical System Simulation Tool for Investigating the Resilience of a Cyberphysical Security Ecosystem&#8221;<\/strong> PI: L.H. Tsoukalas, Co-PI: M. Alamaniotis, Office of Naval Research, 2018-2020<\/p>\n<p><strong>&#8220;<em>Collaborative Research: EAGER &#8211; DynamicData: Machine Intelligence for Dynamic Data-Driven Morphing of Nodal Demand in Smart Energy Systems<\/em>,&#8221;<\/strong> PI: L.H. Tsoukalas, Co-PIs: M. Alamaniotis. N. Gatsis, National Science Foundation (NSF) , 2015-2017<\/p>\n<p><strong>&#8220;Fuzzy Logic Usability Evaluation Tool for Joint Human Machine Interfaces in Nuclear Power Plants,&#8221;<\/strong> PI: M. Alamaniotis, Purdue Research Foundation, 2015-2016.<\/p>\n<table style=\"width: 103.26%;height: 1108px\" width=\"100%\">\n<tbody>\n<tr style=\"height: 79px\">\n<td style=\"width: 100%;height: 79px\"><\/td>\n<\/tr>\n<tr style=\"height: 52px\">\n<td style=\"width: 100%;height: 19px\"><\/td>\n<\/tr>\n<tr style=\"height: 132px\">\n<td style=\"width: 100%;height: 38px\"><\/td>\n<\/tr>\n<tr style=\"height: 105px\">\n<td style=\"width: 100%;height: 105px\"><\/td>\n<\/tr>\n<tr style=\"height: 105px\">\n<td style=\"width: 100%;height: 105px\"><\/td>\n<\/tr>\n<tr style=\"height: 79px\">\n<td style=\"width: 100%;height: 55px\"><\/td>\n<\/tr>\n<tr style=\"height: 132px\">\n<td style=\"width: 100%;height: 132px\"><\/td>\n<\/tr>\n<tr style=\"height: 105px\">\n<td style=\"width: 100%;height: 105px\"><\/td>\n<\/tr>\n<tr style=\"height: 105px\">\n<td style=\"width: 100%;height: 105px\"><\/td>\n<\/tr>\n<tr style=\"height: 105px\">\n<td style=\"width: 100%;height: 105px\"><\/td>\n<\/tr>\n<tr style=\"height: 132px\">\n<td style=\"width: 100%;height: 132px\"><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>Research Areas Applied Artificial Intelligence Smart Electric Power Systems and Smart Grids Machine Learning in National Security Applications Artificial Intelligence in Smart Cities Intelligent Control Methods in Power Systems Intelligent Systems for Signal Processing, and Detection Algorithms Machine Learning and Pattern Recognition Nuclear Security and Nonproliferation AI in Radiation Detection AI in Nuclear Power Applications &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/ceid.utsa.edu\/malamaniotis\/research\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Research&#8221;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-13","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Research - Dr. Miltos Alamaniotis<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ceid.utsa.edu\/malamaniotis\/research\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Research - Dr. Miltos Alamaniotis\" \/>\n<meta property=\"og:description\" content=\"Research Areas Applied Artificial Intelligence Smart Electric Power Systems and Smart Grids Machine Learning in National Security Applications Artificial Intelligence in Smart Cities Intelligent Control Methods in Power Systems Intelligent Systems for Signal Processing, and Detection Algorithms Machine Learning and Pattern Recognition Nuclear Security and Nonproliferation AI in Radiation Detection AI in Nuclear Power Applications &hellip; 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