{"id":37921,"date":"2021-09-03T11:46:41","date_gmt":"2021-09-03T15:46:41","guid":{"rendered":"https:\/\/engineering.jhu.edu\/case\/faculty\/dimitris-giovanis\/"},"modified":"2026-03-03T09:52:38","modified_gmt":"2026-03-03T14:52:38","slug":"dimitris-giovanis","status":"publish","type":"people","link":"https:\/\/engineering.jhu.edu\/case\/faculty\/dimitris-giovanis\/","title":{"rendered":"Dimitris Giovanis"},"content":{"rendered":"<p>Dimitris Giovanis is an assistant research professor in the Department of Civil and Systems Engineering and has a secondary appointment in the Department of Applied Mathematics and Statistics. He is a fellow of the <a href=\"https:\/\/hemi.jhu.edu\/\">Hopkins Extreme Materials Institute<\/a>, member of the Center on Artificial Intelligence for Materials in Extreme Environments, the\u00a0<a href=\"https:\/\/idies.jhu.edu\/\">Institute for Data Intensive Engineering and Science<\/a>, the Johns Hopkins Mathematical Institute for Data Science, and the Data Science and AI Institute. He is also affiliated with the JHU Sports Analytics Research Group.<\/p>\n<p>Giovanis&#8217; research focuses on the development of advanced computational methodologies and tools at the intersection of probabilistic modeling, data science, and physics-informed machine learning, to accelerate and optimize simulation and analysis for scientific discovery and data-informed decision making in science and engineering. A central objective of his work is the creation of digital twins\u2014virtual representations that integrate data and physics-based models\u2014for a variety of complex systems.<span>\u00a0<\/span><\/p>\n<p>Methods developed by Giovanis are applied across a broad range of domains, including materials science (structural ceramics, energetic materials, carbon-based composites, amorphous solids, additive manufacturing), natural hazards (performance-based earthquake\/wind engineering, regional hazard modeling, post-wildfire debris flow analysis), health and biomedicine (traumatic brain injury, digital twins of the human heart, epidemic modeling), aerospace engineering (structural and aeroelastic systems), and astrophysics (space weather).<\/p>\n<p>His work is supported by the National Science Foundation, the Department of Energy, and the Defense Advanced Research Projects Agency, including a DARPA INTACT Grant in 2025.<\/p>\n<p>Giovanis earned his five-year diploma in civil engineering, master\u2019s degree in computational mechanics, and PhD\u2014focused on stochastic finite element methods\u2014from the National Technical University of Athens in Greece. Giovanis is a member of the <a href=\"https:\/\/simcenter.designsafe-ci.org\/\">NHERI Simulation<\/a> Center, the American Society of Civil Engineer\u2019s Engineering Mechanics Institute Probabilistic Methods Committee, the ASCE\/EMI Machine Learning Group, the ASCE\/EMI Education Group, the Society for Industrial and Applied Mathematics Uncertainty Quantification group, and the Greek Association of Computational Mechanics. He is a licensed Professional Civil Engineer in Greece and is also the assistant coach of the men\u2019s water polo team at JHU.<\/p>\n","protected":false},"template":"","class_list":["post-37921","people","type-people","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Dimitris Giovanis - 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\/dimitris-giovanis\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Dimitris Giovanis - Department of Civil &amp; Systems Engineering\" \/>\n<meta property=\"og:description\" content=\"Dimitris Giovanis is an assistant research professor in the Department of Civil and Systems Engineering. 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