We develop advanced computational methods to predict and optimize the behavior of complex materials and structures across mechanical, aerospace, and semiconductor applications. 

Our work integrates mathematical modeling with multi-scale numerical simulations, including Finite Element Method (FEM), Molecular Dynamics (MD), and Boundary Element Method (BEM), enabling reliable performance evaluation from the atomic scale to full-system structure.

We explore advanced material modeling and design strategies to enhance structural performance and reliability in high-performance mechanical, aerospace, and semiconductor engineering systems. 

Our research covers composite structures (CFRP, GFRP, etc.), lattice structures, and meta-materials, integrating mechanics-based modeling with physics-driven design optimization to achieve lightweight, high-strength, and functionally programmable materials.

We develop design optimization frameworks that integrate Response Surface Methodology (RSM), Design Optimization (DO), Reliability-Based Design Optimization (RBDO), and hybrid ANN-FEM models for advanced mechanical, aerospace, and semiconductor applications.

By combining physics-based simulations with data-driven intelligence, we enable efficient and robust design solutions for advanced mechanical, aerospace, and semiconductor systems under uncertainty.