Research Focus
Our group studies present and future risks from natural hazards and climate change on both built and natural environments, and their impact on communities. We operate at the intersection of structural engineering, probabilistic hazard analysis, artificial intelligence, and risk communication to learn from, mitigate, and adapt to extreme events.
Risk and Resilience Assessment for Natural Hazards and Climate Change
Our research examines the impact of natural hazards and climate change on infrastructure and communities. We use physics-based simulations, probabilistic models, and AI-driven techniques to assess vulnerabilities and develop strategies for enhancing resilience in the face of extreme events.
Performance-Based Assessment of Built-Natural-Social Systems
We leverage performance-based engineering, life-cycle analysis, and data-driven models to assess the behavior and interactions of built, natural, and social systems during extreme events. This enables us to develop strategies that enhance their overall performance and sustainability in a dynamically changing world.
Knowledge Discovery from Hazard Events using Physics-Informed AI
We drive insights from hazard events using physics-informed AI. By integrating physical principles with AI models, we analyze data from past events and synthetic hazard simulations to identify patterns, enhance predictive models, and develop innovative solutions for hazard mitigation.
Effective Risk Communication and Data Visualization
We develop novel risk metrics and inclusive data visualizations to capture the holistic impact of extreme events. Our goal is to empower stakeholders with clear insights into natural hazards and climate change impacts, promoting informed and participatory decision-making.