Commitment to
Innovation and Resilience

Advancing Intelligent Solutions for Disaster Resilience and
Risk Mitigation for Civil Structural Systems

Research Overview

Disaster resilience and Intelligence

Disaster Resilience

  • Addresses both structural robustness and post-failure recovery
  • Evaluates performance using multi-criteria resilience metrics
  • Considers compound and climate change–induced extreme hazards in resilience assessment
  • Applies to multiple scales in civil engineering: structures, infrastructure networks, and urban systems

Intelligence

  • Integration: Employs data–model assimilation for improved risk and performance evaluation
  • Inference: Develops AI-based methods for predictive modeling and decision support in structural reliability engineering
  • Innovation: Introduces intelligent simulation and optimization techniques for resilience-informed design
  • Insight: Bridges AI and engineering theory to overcome limitations and reveal underlying physical mechanisms
Design a site like this with WordPress.com
Get started