معرفی
Zijian Shao is a Postdoctoral Research Associate at Princeton University's School of Engineering and Applied Science, affiliated with the Department of Electrical Engineering. His work focuses on advanced antenna design, electromagnetic modeling, and machine learning applications in RF/mmWave systems for 5G/6G telecommunications.
- Advisor: Kaushik Sengupta
- Email: zs9193@princeton.edu
- Office: Engineering Quadrangle Atrium
Shao's research explores the intersection of machine learning and electromagnetic design, particularly for next-generation wireless communication. He specializes in antenna miniaturization, MIMO decoupling, and metasurface-enabled beamforming, with applications in sub-terahertz circuits and integrated sensing systems.
His recent publications demonstrate expertise in deep learning-assisted inverse design of multi-port RF systems and spoof surface plasmon polariton-based antenna optimization. While no formal awards are listed, his work contributes to advancing compact, high-efficiency antenna arrays for 5G/6G networks.
