{"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":"2026-01-26T23:09:54","modified_gmt":"2026-01-27T05:09:54","slug":"research","status":"publish","type":"page","link":"https:\/\/ceid.utsa.edu\/ejohn\/research\/","title":{"rendered":"Research"},"content":{"rendered":"\r\n<p><span style=\"font-size: 18pt\"><strong><span class=\"has-inline-color\" style=\"color: #193ae0\">Laboratory for Energy Efficient Computing <\/span><\/strong><\/span><span style=\"font-size: 18pt\"><strong><span class=\"has-inline-color\" style=\"color: #193ae0\">\u00a0and Machine Learning<\/span><\/strong><\/span><\/p>\r\n\r\n<p><span style=\"font-size: 14pt\"><strong>Research Interests<\/strong><\/span><\/p>\r\n<ul>\r\n<li>Energy Efficient Computing<\/li>\r\n<li>AI\/ML<\/li>\r\n<li>AI Hardware<\/li>\r\n<li>AI\/ML Workload Analysis and Characterization<\/li>\r\n<li>Computer Architecture and Performance Evaluation<\/li>\r\n<li>Flexible Electronics<\/li>\r\n<li>Low Power VLSI Design<\/li>\r\n<li>Power-Aware and Secure Systems<\/li>\r\n<\/ul>\r\n<p><strong>Current and Recent Funded Research Projects<\/strong><\/p>\r\n<ul style=\"list-style-type: disc\">\r\n<li>National Science Foundation (NSF), &#8220;FuSe2: Topic 1: Efficient Edge Inference and Heterogeneous Integration in Systems for Health and Chemical Sensing&#8221;,\u00a0 Co-PI, Sep 2024 &#8211; Aug 2027, $1,715,924.00<\/li>\r\n<li>Semiconductor Research Corporation (SRC), &#8220;Ultra Low-Energy Ultra Low-Latency Machine Learning using Weightless Neural Networks&#8221;, PI (100%), Jan 2023 &#8211; Dec\u00a0 2025, $100,000.<\/li>\r\n<li>Semiconductor Research Corporation (SRC), &#8220;Machine Learning Workload Analysis and Characterization&#8221;, PI (100%), Jan 2021 &#8211; Dec\u00a0 2023, $109,500.<\/li>\r\n<li>ARL, &#8220;Distributed Learning and Control for Multi-Domain, Multi-Modal, and Non-Stationary Data&#8221; ,\u00a0 Sep 2022 &#8211; Sep 2023, $66,923.<\/li>\r\n<li>National Science Foundation (NSF), &#8220;EAGER: Exploring Artificial Intelligence Techniques for Energy-Efficient Arrhythmia Detection and Identification in Connected Implantable Cardiac Devices&#8221;, PI, Oct 2020-Sep 2022, $286,000.<\/li>\r\n<li>National Institute of Health (NIH), &#8220;Ultra Low Power Computing for Next Generation Implantable\u00a0 Smart Cardiac Pacemakers&#8221;, PI (100%),\u00a0 Feb 2018 &#8211; Feb 2023, $441,000.<\/li>\r\n<\/ul>\r\n<p><strong>Completed Research Support\u00a0 by:<\/strong><\/p>\r\n<ul style=\"list-style-type: disc\">\r\n<li>National Science Foundation (NSF)<\/li>\r\n<li>National Institute of Health (NIH)<\/li>\r\n<li>Semiconductor Research Corporation (SRC)<\/li>\r\n<li>Army Research Office (ARO)<\/li>\r\n<li>Texas Higher Education Coordinating Board (THECB-ATP)<\/li>\r\n<li>Air Force Office of Scientific Research (AFOSR)<\/li>\r\n<li>Center for Infrastructure Assurance and Security (CIAS) at UT San Antonio<\/li>\r\n<li>INTEL Corporation<\/li>\r\n<li>IBM Corporation<\/li>\r\n<li>Xilinx\/AMD<\/li>\r\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>Laboratory for Energy Efficient Computing \u00a0and Machine Learning Research Interests Energy Efficient Computing AI\/ML AI Hardware AI\/ML Workload Analysis and Characterization Computer Architecture and Performance Evaluation Flexible Electronics Low Power VLSI Design Power-Aware and Secure Systems Current and Recent Funded Research Projects National Science Foundation (NSF), &#8220;FuSe2: Topic 1: Efficient Edge Inference and Heterogeneous Integration &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/ceid.utsa.edu\/ejohn\/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 - Eugene John<\/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\/ejohn\/research\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Research - Eugene John\" \/>\n<meta property=\"og:description\" content=\"Laboratory for Energy Efficient Computing \u00a0and Machine Learning Research Interests Energy Efficient Computing AI\/ML AI Hardware AI\/ML Workload Analysis and Characterization Computer Architecture and Performance Evaluation Flexible Electronics Low Power VLSI Design Power-Aware and Secure Systems Current and Recent Funded Research Projects National Science Foundation (NSF), &#8220;FuSe2: Topic 1: Efficient Edge Inference and Heterogeneous Integration &hellip; 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