معرفی
Su Yan is an Associate Professor and Director of Graduate Studies in Howard University's Department of Electrical Engineering and Computer Science. He directs the IBM-HBCU Quantum Center and leads research in computational electromagnetics, nonlinear multiphysics modeling, and machine learning-enhanced simulations.
His group develops extreme-scale algorithms for electromagnetic systems with applications in RF devices, quantum technologies, and computational imaging. Current projects involve AI-accelerated metasurface design, microwave-assisted hydrogen generation, and randomized multiscale solvers.
Honors include DOE/NSF Early Career Awards, ACES Early Career Award, and IEEE prize papers. He currently advises 9 PhD students and has graduated multiple doctoral candidates in computational electromagnetics.
Research Grants:
- DOE Early Career Award for randomized multiscale algorithms
- NSF CAREER for neural network-enhanced RF device simulation
- NSF grants for AI-enhanced metasurfaces and hydrogen catalyst design
- Ansys collaboration on non-conforming solvers
