Xian Hadia

I am a Ph.D. candidate in Computational Science and Engineering at Georgia Tech, advised by Prof. Raphaël Pestourie, specializing in large-scale inverse design for nanophotonics. My research focuses on developing high-performance computational frameworks to solve complex electromagnetic inverse problems, bridging adjoint-based optimization, data-driven surrogate modeling, and scalable numerical solvers.

I build custom physics solvers utilizing finite-difference methods (FDTD, FDFD), finite element methods (FEM), and rigorous coupled-wave analysis (RCWA), alongside tools like Tidy3D, MEEP, COMSOL, and Ansys Lumerical. To make large-area nanophotonic device optimization computationally tractable, I architect high-performance computing (HPC) workflows that leverage multi-GPU parallelization, domain decomposition, and tensor-based linear algebra formulations. Beyond theoretical and algorithmic development, I bridge simulation with hardware by designing fabrication-constrained metasurfaces—for beamforming, focusing, and arbitrary wavefront engineering—and validating them via hands-on cleanroom lithography, optical metrology, and experimental bench characterization.

Keywords: Nanophotonics · Inverse Design · Adjoint Optimization · Computational Electromagnetics · Surrogate Models · Scientific Computing

Here are some of my projects. Click on projects to see more.

Replay animation