Research

Enhancing Coastal Resilience of Infrastructure

Climate change is intensifying hurricanes, storm surge, floods, and tsunamis, putting coastal bridges, breakwaters, and waterfront infrastructure at growing risk. My vision is to design infrastructure whose structural shape itself mitigates hazards — reducing wave loads on structures while attenuating waves for the communities behind them — by coupling high-fidelity fluid–structure simulation, physical experiments, and data-driven optimization.

• Tools
• Smoothed Particle Hydrodynamics (SPH)
• Finite Element Analysis
• Multi-objective Bayesian Optimization
• Wave-flume experiments
• Neural-network surrogates

Differentiable Physics and Machine Learning for Optimization

Gradient-based design has transformed many fields, yet most engineering simulators remain black boxes. My vision is to make physics solvers differentiable so that exact gradients flow through the simulation — enabling fast, scalable optimization of efficient, low-carbon structures, and letting neural networks be trained with physics enforced in the loop for optimization and control of engineered systems.

• Tools
• Differentiable physics / simulations
• JAX & automatic differentiation
• GPU / XLA acceleration
• Finite Element Analysis
• Force density method
• Neural networks

Conference Talks