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 model-informed learning and control algorithms, along with modeling tools for distributed parameter systems, with a focus on mixed autonomy, where automated and human agents co-exist and interact in the system.

The techniques I develop combine physics-informed neural modeling of hyperbolic PDEs, model-based and data-driven control algorithm design, and field validation and deployment. I embed domain knowledge and structure to guide learning, rather than relying on pure black-box approaches. I apply these methods to autonomy systems, such as automated vehicles, drone fleets, 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. I also shared this work with a broader audience in the UC Grad Slam, where graduate students present their research in just 3 minutes.
My talk on how a few smart cars can smooth stop-and-go traffic waves earned me the Runner-up award at UC Berkeley. ▶️ Watch the talk here

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