Research Interest 

Topics: Computational Nanophotonics, Inverse Design, Optimization, Adjoint sensitivity, Integrated Nanophotonics, Optical Devices, and Meta-Optics 

My research experience integrates and intersects of the following foundational disciplines: 

• Mathematical & Numerical modeling: FDTD and FEM based EM solvers to design, simulate, evaluate, validate, and formalized results  

• Inverse Design & Optimization: Derivative-free and gradient-based large scale optimization to develop efficient and scalable nanophotonic designs

• Sensitivity Analysis:  Adjoint sensitivity for efficient, accurate, and faster gradient (or first order sensitivity) computation 

• Nanophotonic & Optical Devices: Integrated nanophotonics, free-space optics, meta-optics, plasmonics, and THz devices 

• Applications: Next-generation imaging, optical sensing, energy harvesting, optical communication, photonic computing, and Medical AI