{"id":1245,"date":"2021-06-21T16:01:05","date_gmt":"2021-06-21T20:01:05","guid":{"rendered":"https:\/\/engineering.jhu.edu\/case\/faculty\/kimia-ghobadi\/"},"modified":"2025-04-07T14:46:11","modified_gmt":"2025-04-07T18:46:11","slug":"kimia-ghobadi","status":"publish","type":"people","link":"https:\/\/engineering.jhu.edu\/case\/faculty\/kimia-ghobadi\/","title":{"rendered":"Kimia Ghobadi"},"content":{"rendered":"<p>Kimia Ghobadi is a John C. Malone Assistant Professor in the Department of Civil and Systems Engineering.\u00a0She is an associate director of\u00a0\u00a0the\u00a0<a href=\"https:\/\/systems.jhu.edu\/\">Center for Systems Science and Engineering<\/a>,\u00a0a chair member of the<a href=\"https:\/\/malonecenter.jhu.edu\/\">\u00a0Malone Center for Engineering in Healthcare<\/a>,\u00a0and a member of the\u00a0<a href=\"https:\/\/cdem.jh.edu\/\">Center for Data Science in Emergency Medicine<\/a>, the Data Science and AI Institute, and the <a href=\"https:\/\/iaa.jhu.edu\/\">Institute for Assured Autonomy<\/a>.<\/p>\n<p>Her research focuses on using mathematical models, optimization techniques, and data analytics to solve problems in complex systems,\u00a0particularly in healthcare systems and medical decision-making environments.\u00a0She develops models and solution techniques in inverse optimization, mixed-integer programming, and online\u00a0algorithms.<\/p>\n<p>Her current projects include inverse optimization models for personalized diet, radiation therapy treatment planning for cancer patients, health systems capacity management and resource allocation, risk-assessment tools for falls in frail and elderly patients, timeseries predicting models and large language models in patient digital twins, COVID-19 simulation and impact on disparities, and scheduling and process efficiency in hospitals and home-cares.<\/p>\n<p>Prior to joining the Johns Hopkins faculty in 2019,\u00a0Ghobadi\u00a0was a postdoctoral fellow at MIT Sloan School of Management and collaborated closely with the Massachusetts General Hospital on improving healthcare operations. She is a recipient of the INFORMS Judith Liebman Award and multiple fellowships, including the Canadian Natural Science and Engineering Research Council fellowships at both graduate and postdoctoral levels and the Johns Hopkins Discovery Award.<\/p>\n<p>She received her bachelor\u2019s in mathematics at Sharif University of Technology, her MSc and MEng in mathematics and computational science and engineering at McMaster University, and a PhD in industrial engineering at the University of Toronto. After her PhD, she worked with the University Health Networks and the Princess Margaret Cancer Center in Toronto on implementing automated radiation therapy treatment plans in clinical settings.<\/p>\n","protected":false},"template":"","class_list":["post-1245","people","type-people","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Kimia Ghobadi - Department of Civil &amp; Systems Engineering<\/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:\/\/engineering.jhu.edu\/faculty\/kimia-ghobadi\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Kimia Ghobadi - Department of Civil &amp; Systems Engineering\" \/>\n<meta property=\"og:description\" content=\"Kimia Ghobadi is a John C. 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