Research at the intersection of disaster recovery modeling, machine learning, and optimization.

Engineering modeling to assess and optimize earthquake resilience

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Downtime performance metrics + implications on design
Downtime performance metrics + implications on design

How do we evaluate and study relationships between different performance metrics?

Designing ML models for downtime performance estimation
Designing ML models for downtime performance estimation

How do we improve the computational efficiency of downtime risk estimation?

Resilient design optimization
Resilient design optimization

How do we rapidly explore the resilient design space to achieve user-defined performance goals?

Benefit-cost analysis of resilient design
Benefit-cost analysis of resilient design

What are the implications of resilient design at the building-level and regional scale?

To bridge the gap between high-fidelity building downitme modeling and scalable applications, this research explores the use surrogate modeling and optimization.

Stanford University, PhD thesis