Department of Architectural Engineering
We develop computational methods and AI-driven frameworks to advance the analysis, design, and resilience of complex structural systems.
Research Topics
Machine learning, surrogate modeling, and data-driven approaches for efficient prediction and simulation of nonlinear structural behavior.
Structural design optimization and AI-assisted computational methods for resilient, efficient, and high-performance structural systems.
Performance-based earthquake engineering, probabilistic seismic risk assessment, and collapse evaluation of structural systems under extreme loading conditions.
Development of computational constitutive and hysteretic models for smart, adaptive, and nonlinear structural materials subjected to complex loading conditions.
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Publications