📢Latest paper from our lab led by Miguel Esparza unveils the importance of reliable lowest floor elevation data in improving flood damage estimates. Traditional flood damage assessment models often rely on flood depth as the primary predictor. Our latest research introduces an

Latest preprint from our lab led by Chia-Fu Liu Chia-Fu Liu presents a perspective on the significance of characterizing the dynamics of various social, spatial, and physical networks embedded in communities for understanding resilience and recovery. We highlight six studies

Latest paper from our lab in collab w the wonderful Chao Fan examines the dynamics of collective sense-making in online social media during disasters and reveals important processes and mechanisms that shape collective risk encoding in networks during crises:

📢 New paper from our lab led by Chiawei Hsu dissected key attributes resilience curves in human systems facing hazards. The study study moves beyond the conceptual use of resilience curves to provide one of the most comprehensive empirical characterizations of community

New #article from Ali Mostafavi ✨️ et al: Network dynamics of community resilience and recovery: new frontier in disaster research TL;DR: Socio-spatial and functional networks reveal vulnerabilities in urban resilience. sciencedirect.com/science/articl…

Latest paper from our lab led by Chia-Fu Liu Chia-Fu Liu presents a perspective on the significance of characterizing the dynamics of various social, spatial, and physical networks embedded in communities for understanding resilience and recovery. We highlight six studies

📢Excited to share the latest paper from our lab led by Pie in collab with Institute for a Disaster Resilient Texas (IDRT) in which we prese t FloodGAN Model: Precipitation-Flood Depth Generative Pipeline, a novel methodology that leverages generative machine learning to generate large-scale synthetic inundation

The latest paper from our lab led by Junwei Ma examines quantifies and characterizes community resilience based on latent lifestyle signatures in behaviorally-based spatial networks embedded in communities. sciencedirect.com/science/articl…

Hearty congratulations to our newest Ph.D. graduate, Dr. Junwei Ma! Junwei delivered an outstanding dissertation presentation, highlighting the depth of his research and unwavering dedication. He is Ph.D. graduate #16 from our lab and a rising star to watch. Junwei will be

Another storm in Houston and major street flooding throughout the city. This one is at San Flipe and Fountain View. Several cars stalled due to flood water. Interesting observation that 6 out of 11 stalled cars I encountered were sedan BMWs. Perhaps a data point for car insurance

Check out my latest article: Turning AI Hype into Operational Resilience: A Six‑Phase Road Map for AI Integration into Emergency Management linkedin.com/pulse/turninga… via LinkedIn

Thrilled to share our paper in Applied Energy! We created the US Power System Vulnerability Index by analyzing 179 million outage records from 2014-2023. Our work reveals vulnerability is steadily rising! Bo Li Femi Omitaomu Ali Mostafavi ✨️ 🔗: authors.elsevier.com/a/1lL-915eifFv…

Last week, I spoke with CNN International MJ Lee about the critical upgrades flash-flood warning systems need and how #AI can streamline emergency-management workflows to strengthen flash-flood preparedness. #TexasFlood #AI

New #article from Ali Mostafavi ✨️ et al: Evac‑Cast: An Interpretable Machine‑learning Framework for Evacuation Forecasts Across Hurricanes and Wildfires TL;DR: Evac‑Cast achieves mean absolute errors of 4.5% and 3.5% for hurricane and wildfire events arxiv.org/pdf/2508.00650

Glad to share our recent interview on a decade-long assessment of U.S. power system vulnerability! Ali Mostafavi ✨️ Bo Li Femi Omitaomu 🔗:engineering.tamu.edu/news/2025/08/i…