{"id":539,"date":"2025-05-02T18:01:31","date_gmt":"2025-05-02T22:01:31","guid":{"rendered":"https:\/\/coefs.charlotte.edu\/mssmith1\/?p=539"},"modified":"2026-02-12T20:54:22","modified_gmt":"2026-02-13T01:54:22","slug":"publication-of-research-progress-presented-at-ieee-southeastcon-2025","status":"publish","type":"post","link":"https:\/\/coefs.charlotte.edu\/mssmith1\/2025\/05\/publication-of-research-progress-presented-at-ieee-southeastcon-2025\/","title":{"rendered":"Publication of Research Progress Presented at IEEE SoutheastCon 2025"},"content":{"rendered":"\n<p>Research progress shared at the IEEE <a href=\"https:\/\/ieeesoutheastcon.org\/\">SoutheastCon 2025<\/a>.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>J. Logan, N. Roberts, and <strong>M. Smith<\/strong>, &#8220;<a href=\"https:\/\/doi.org\/10.1109\/SoutheastCon56624.2025.10971695\">Reinforcement Learning-Based Control Framework for Wastewater Treatment Process Aeration Control<\/a>,&#8221; <em>IEEE SoutheastCon 2025<\/em>, Concord, NC, USA, 2025, pp. 433-438, doi: 10.1109\/SoutheastCon56624.2025.10971695.<\/li>\n\n\n\n<li>J. Logan, N. Roberts, and <strong>M. Smith<\/strong>, &#8220;<a href=\"https:\/\/doi.org\/10.1109\/SoutheastCon56624.2025.10971455\">Improvement of Machine Learning-Based Predictive Models for Wastewater Treatment Processes Using Time-Series Influent Data<\/a>,&#8221; <em>IEEE SoutheastCon 2025<\/em>, Concord, NC, USA, 2025, pp. 396-401, doi: 10.1109\/SoutheastCon56624.2025.10971455.<\/li>\n\n\n\n<li>H. Zeru, J. Logan, N. Roberts and <strong>M. Smith<\/strong>, &#8220;<a href=\"https:\/\/doi.org\/10.1109\/SoutheastCon56624.2025.10971594\">Predicting Nitrogen in the Wastewater Treatment Process Via Machine Learning-Based Models<\/a>,&#8221; <em>IEEE SoutheastCon 2025<\/em>, Concord, NC, USA, 2025, pp. 439-444, doi: 10.1109\/SoutheastCon56624.2025.10971594.<\/li>\n\n\n\n<li>A. Soni, J. Oh, M. Noras, <strong>M. Smith<\/strong>, and W. Williams, &#8220;<a href=\"https:\/\/doi.org\/10.1109\/SoutheastCon56624.2025.10971500\">Solar PV Augmented Battery Electric Vehicle State of Charge and Temperature Analysis in Simscape<\/a>,&#8221; <em>IEEE SoutheastCon 2025<\/em>, Concord, NC, USA, 2025, pp. 837-843, doi: 10.1109\/SoutheastCon56624.2025.10971500.<\/li>\n<\/ol>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Research progress shared at the IEEE SoutheastCon 2025.<\/p>\n","protected":false},"author":266,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-539","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/coefs.charlotte.edu\/mssmith1\/wp-json\/wp\/v2\/posts\/539","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/coefs.charlotte.edu\/mssmith1\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/coefs.charlotte.edu\/mssmith1\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/coefs.charlotte.edu\/mssmith1\/wp-json\/wp\/v2\/users\/266"}],"replies":[{"embeddable":true,"href":"https:\/\/coefs.charlotte.edu\/mssmith1\/wp-json\/wp\/v2\/comments?post=539"}],"version-history":[{"count":2,"href":"https:\/\/coefs.charlotte.edu\/mssmith1\/wp-json\/wp\/v2\/posts\/539\/revisions"}],"predecessor-version":[{"id":680,"href":"https:\/\/coefs.charlotte.edu\/mssmith1\/wp-json\/wp\/v2\/posts\/539\/revisions\/680"}],"wp:attachment":[{"href":"https:\/\/coefs.charlotte.edu\/mssmith1\/wp-json\/wp\/v2\/media?parent=539"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/coefs.charlotte.edu\/mssmith1\/wp-json\/wp\/v2\/categories?post=539"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/coefs.charlotte.edu\/mssmith1\/wp-json\/wp\/v2\/tags?post=539"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}