Zhe Fu 傅哲

Hello! 你好！I’m Zhe, a final-year Ph.D. Candidate in Transportation Engineering, and M.S. Candidate in Electrical Engineering and Computer Sciences at University of California, Berkeley, advised by Professor Alexandre Bayen. I also work with Professor Claire Tomlin, and visited Autonomous Systems Lab (ASL) at Stanford led by Professor Marco Pavone.

I am fortunate to conduct research in Berkeley Artificial Intelligence Research (BAIR), the Institute of Transportation Studies (ITS), Center for Information Technology and Research in the Interest of Society (CITRIS), Berkeley Deep Drive (BDD), and California Partners for Advanced Transportation Technology (California PATH).

I completed an M.S. in Transportation Engineering at UC Berkeley and a B.S. in Transportation Engineering at Tongji University, along with a Law minor at Fudan University, and research internships at Honda Research Institute and the Tsinghua–Berkeley Shenzhen Institute.

For more information, please refer to my CV .

Research Interests

I develop learning and control algorithms, as well as modeling tools for distributed parameter systems, with a focus on mixed autonomy.

The techniques I develop combine physics-informed neural modeling of hyperbolic PDEs, model-based and data-driven control algorithm design, and field operational testing. I apply these methods to autonomy systems, such as automated vehicles, drones, and urban air mobility.

I was one of the main student contributors for a 100-AVs field operational test on the I-24 highway in Nashville TN. More information about this large-scale field experiment can be found here.

Please feel free to reach out for research discussion and collaboration :)

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