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Introducing Empirical Predictive Modeling for Vulnerability and Risk Assessment
Session Date and Time: Wednesday, June 25, 2025 | 2:30 PM - 4:00 PM
Location: Lecture Room
Lead Presenter: Yi Victor Wang | Assistant Professor | Massachusetts Maritime Academy
Lead Presenter Biography
Dr. Yi Victor Wang is an Assistant Professor at Massachusetts Maritime Academy in the Department of Emergency Management and Homeland Security. He earned his Ph.D. in Civil Engineering with a focus on Societal Risk Management from the University of Illinois at Urbana-Champaign. He has first-authored over 10 peer-reviewed journal publications on original research in the fields of disaster risk science, engineering, and management. His research methodology encompasses both qualitative approaches in social science and a range of quantitative methods. These methods include stochastic statistics, geographic information science, machine learning (ML), remote sensing, and artificial intelligence (AI). His published research topics include quantification of social vulnerability for risk assessment, equivalency of hazard strength across hazard types, hazard forecasting with ML and AI, frequency modeling for natural hazards, and media reporting of disasters. His current teaching focus includes foundational and information technologies crucial for emergency management and operations. He serves as an editor for the Journal of Flood Risk Management and has conducted reviews of manuscript submissions for 20 academic journals. Beyond professional life, Dr. Wang is also a long-distance runner, with his personal record of 2:42:35 in the marathon achieved at this year's Boston Marathon.
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Introducing Empirical Predictive Modeling for Vulnerability and Risk Assessment
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