My research develops probabilistic, physics-informed frameworks that integrate field monitoring data, structural modeling, and decision theory to improve infrastructure safety and community resilience under natural and cascading hazards.
Risk-informed assessment of critical infrastructure under evolving seismic hazard, with emphasis on probabilistic methods and decision support for nuclear and high-consequence facilities.
Bridge scour, hydraulic loading, and resilience-based performance assessment for transportation infrastructure under extreme flood events and compound hazard scenarios.
Combining sensing, uncertainty quantification, and simulation to support infrastructure monitoring, reliability analysis, and lifecycle decision-making toward digital twin frameworks.
Interested in collaboration?
Open to research partnerships, joint grants, and student mentorship.