Research

My research focuses on advancing the assessment and design of infrastructure systems subjected to extreme loading through the development of real-time hybrid simulation (RTHS) frameworks that couple physical experiments with high-fidelity computational models.

My work emphasizes multi-physics cyber-physical simulations incorporating soil-structure, fluid-structure, and aeroelastic interaction effects using neural-network-based surrogate models and real-time digital twins.

Major Research Themes

Multi-physics RTHS

Developed RTHS frameworks integrating neural-network surrogate models of soil-foundation and fluid domains with experimental substructures.

Multi-directional RTAHS

Developed multidirectional real-time aeroelastic hybrid simulation frameworks for evaluating wind-induced response of tall buildings.

Real-time Digital Twins

Developed online neural-network surrogate models and cyber-physical model updating frameworks for RTHS experimental substructures.

Seismic Resilience

Conducted computational and experimental investigations on SMA-based damping systems, nonlinear damping devices, and mass timber structures.

Research Interests

Real-Time Hybrid Simulation
Soil-Structure Interaction
Fluid-Structure Interaction
Aeroelastic Effects
Cyber-Physical Systems
Real-time Digital Twins
AI for Structural Engineering
Structural Dynamics
Mass Timber Systems
SMA Damping Systems