Events

Disaster AI: Multi-modal AI System for Disaster Resilience

Smart resilience is an emerging paradigm that leverages community-scale big data and artificial intelligence to enhance how communities prepare for, respond to, and recover from crises. Advances in diverse data sources (including social media, physical sensors, location-based data, and crowdsourced information) are transforming resilience by enabling more accurate risk prediction, rapid impact assessment, infrastructure monitoring, and real-time situational awareness.

Research from the urbanresilience.ai Lab demonstrates how machine learning, deep learning, and generative models can strengthen flood resilience by supporting critical systems (such as infrastructure, businesses, and emergency response) in maintaining functionality and reducing social, economic, and physical impacts on communities.

Ali Mostafavi 

Professor Ali Mostafavi is a Zachry Endowed Professor of Civil Engineering with joint appointment in Computer Science at Texas A&M University. He is the director of UrbanResilience.AI Lab whose research focuses on creating advanced computational models and data science algorithms to advance urban resilience to crises. He is also the Director of the Disaster AI Initiative at the Institute for Disaster Resilient Texas. His research program has received more than $38 million in funding support from various sponsors such as NSF, National Academies, AWS, Microsoft Azure, and Department of Transportation. He is the author of more than 230 journal articles and 85 conference proceedings. He has received several prestigious awards such as the ASCE Walter Huber Research Prize, ASCE Halpin Award, NSF CAREER Award, Early-Career Fellowship of the National Academies’ Gulf Research Program, AWS Machine Learning Award, College of Engineering Faculty Excellence Award, CII Outstanding Professor Award, and Best Paper Awards in various journals and conferences. He is a member of the ASCE Infrastructure Resilience Division, a Resilience Fellow of 4TU Resilience Engineering Center at TU Delft, and the Editorial Board Member of Nature Scientific Reports, ASCE Management in Engineering and Infrastructure Systems Journals. He is also a Founder of Resilitix Intelligence LLC (Resilitix.ai) which is a startup company focusing on bringing the most advanced AI technologies to community resilience processes.