Civil and Environmental Engineering | Computer Science (secondary) | Earth and Environmental Science (secondary)
2201 West End Ave, Nashville, TN 37235, USA
Methods: Risk analysis, statistical learning, network analysis, resilience modeling.
Applications: disaster management, climate adaptation, human-infrastructure interdependencies, smart cities, developing communities, Arctic systems.
Topics to speak on:
Disaster management, critical infrastructure, interdisciplinary research, women in STEM
Dr. Hiba Baroud is an associate professor and the associate chair in the Department of Civil and Environmental Engineering at Vanderbilt University. She holds secondary appointments in Computer Science and Earth and Environmental Science. Her research is at the intersection of data analytics and risk and resilience modeling. Her group develops and applies methods founded in statistical learning, network models, and decision analysis to evaluate infrastructure performance during disasters. She is particularly interested in uncertain and dynamic interdependencies across multiple systems (infrastructure, humans, environment). Applications are focused on smart cities, developing countries, and Arctic communities. She is the co-chair of the Risk and Resilience Measurements Committee of the Infrastructure Resilience Division in the American Society of Civil Engineers (ASCE). She serves on the editorial board of the ASCE Journal of Infrastructure Systems and as Associate Editor of the ASCE Natural Hazards Review. Hiba is the recipient of the 2019 Global Voices Fellowship, the 2020 National Science Foundation Early CAREER award, and the 2022 National Academy of Sciences Arab-American Frontiers Fellowship.
Early CAREER award, The US National Science Foundation
Global Voices Fellowship, Vanderbilt University
Arab-American Frontiers Fellowship, The US National Academy of Sciences
Young Resilience Fellow, 4TU.DeSIRE, Netherlands
Supplemental High Value Research Award, The American Association of State Highway and Transportation Officials