Developing AI systems for literature analysis, hypothesis generation, scientific reasoning, and research acceleration.
Exploring AI-assisted design of photonic structures, metasurfaces, nanophotonic devices, and wavefront-engineering systems.
Building intelligent tools that help automate simulation setup, design optimization, and engineering workflows.
Using computation, modeling, and AI to support discovery across physics, materials science, and applied engineering.
Long-term research direction toward AI agents that can assist with scientific planning, analysis, and experiment design.
Future direction: exploring quantum computing for scientific simulation, optimization, and materials discovery.