Building knowledge for resilient infrastructure systems — through structural engineering, probabilistic risk assessment, multi-hazard modeling, and monitoring-informed analysis.
I am a civil engineering researcher with interests in infrastructure resilience, seismic and flood risk, structural reliability, and data-informed modeling. My research aims to connect engineering mechanics, uncertainty quantification, and system-level decision frameworks so that infrastructure performance can be assessed more realistically under extreme events and over time.
This website presents my research directions, selected work, academic activities, and opportunities for collaboration with researchers, students, agencies, and industry partners.
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.
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Smart AI-Powered and Physics-Informed Infrastructure Resilience
Digital twins and decision support for resilient infrastructure and communities.
This vision brings together AI, physics-informed modeling, sensing, uncertainty quantification, and systems thinking to support next-generation infrastructure resilience research.

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I welcome opportunities for academic collaboration, interdisciplinary research, invited talks, and engagement with agencies and industry on infrastructure resilience, risk-informed analysis, and structural systems under hazards.