Jonathan Fan

Jonathan Fan is an Associate Professor at Stanford University in the Department of Electrical Engineering. His teaching portfolio includes graduate and undergraduate courses in electromagnetics, integrated circuit fabrication, and specialized studies across all quarters.

• EE 242: Electromagnetic Waves (Autumn)
• EE 312: Integrated Circuit Fabrication Laboratory (Winter)
• ENGR 42/EE 42: Electromagnetics and Applications (Spring)
• 11 independent studies and thesis courses (EE 190, EE 191, EE 300, etc.)

His research focuses on nanophotonics and metasurface engineering, with particular emphasis on inverse design methodologies, machine learning-driven photonic optimization, and machine learning in electromagnetic simulation. His recent publications demonstrate a strong trend toward deep learning-enabled photonic design and high-speed optimization of complex optical systems.

His work spans metamaterial fabrication, nonlocal effects in metasurfaces, and multi-functional optical devices such as spaceplates for aberration correction. Key technical contributions include physics-augmented neural networks, reparameterization techniques for design constraints, and topology-optimized metasurfaces.