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Resume (English only)
Research Experience
Research Projects:
- Reliability assessment using statistical, machine learning, and physics-based surrogate modeling
- Risk-informed design optimization and decision-making under uncertainty
- Uncertainty quantification of structural responses through stochastic simulation
- Disaster resilience evaluation of civil infrastructures
Background
Research Interests:
- Reliability assessment using statistical, machine learning, and physics-based surrogate modeling
- Risk-informed design optimization and decision-making under uncertainty
- Uncertainty quantification of structural responses through stochastic simulation
- Disaster resilience evaluation of civil infrastructures
Field: Civil and Environmental Engineering
Introduction: Our lab focuses on advancing the reliability, risk, and resilience of civil infrastructures such as bridges, buildings, and lifeline systems under natural and human-made hazards. We integrate statistical and machine learning approaches with physics-based modeling to develop practically accurate and computationally efficient methods for structural analysis and decision-making.
Miscellany
Other: The lab welcomes undergraduate and graduate students. For more information, please check the Contact tab.