Zhe Fu 傅哲

Stanford Energy Fellow | Berkeley Lab Affiliate

Portrait of Zhe Fu

zhefu[at]stanford[dot]edu

Hello, 你好!I’m Zhe, a Stanford Energy Fellow, co-hosted by Professor Eric Darve at Darve Lab and Professor Marco Pavone at ASL. I am also a Berkeley Lab Affiliate in the Energy Analysis Division at Lawrence Berkeley National Laboratory.

I completed my PhD in Transportation Engineering and MS in Electrical Engineering and Computer Sciences at UC Berkeley in 2026, advised by Professor Alexandre Bayen. I was also fortunate to work with Professor Claire Tomlin. Additionally, I previously earned an MS in Transportation Engineering at UC Berkeley, a BS in Transportation Engineering at Tongji University, and a minor in Law at Fudan University.

During my time at Berkeley, I conducted research with Berkeley Artificial Intelligence Research (BAIR), the Institute of Transportation Studies (ITS), CITRIS and the Banatao Institute, Berkeley DeepDrive, and California PATH. I also completed research internships at Honda Research Institute and the Tsinghua–Berkeley Shenzhen Institute.

For more information, please refer to my CV .


Research Interests

I develop physics-informed learning, control, and optimization methods for complex dynamical systems. My current research also explores agentic AI, LLM interpretability, and autonomous scientific discovery, with applications to mixed-autonomy, robotic, and multi-agent systems.

My work connects mathematical and physical structure with data-driven models to build autonomy that is interpretable, efficient, and reliable. It spans neural modeling of distributed-parameter systems, model-guided control and optimization, evidence-grounded explanation, and validation on real-world platforms.

I was a core student contributor to a 100-vehicle field operational test on I-24 in Nashville, TN, studying how a small number of automated vehicles can smooth traffic waves. Learn more about the CIRCLES field experiment, watch my three-minute UC Berkeley Grad Slam talk, which earned second place university-wide across all academic disciplines in the 2025 competition, or watch the longer version of my research talk, which won first prize in the H2H8 Research Presentation Competition.


Where to Find Me

Nov 9–10, 2026 I will attend the Data Science Rising Stars Workshop at the University of Chicago.
Nov 3, 2026 I will give an invited session talk at the INFORMS Annual Meeting 2026 in San Francisco.
Oct 2, 2026 I will give a research seminar at CE-CERT, UC Riverside.

Recent News

Sep 2026 🎓 Stanford Energy Fellow: I joined Stanford as an Energy Fellow, working with Prof. Eric Darve and Prof. Marco Pavone across Mechanical Engineering, Aeronautics & Astronautics, and the Institute for Computational & Mathematical Engineering (ICME).
Sep 2026 🎉 IEEE ITSC Finalist: I was selected as a finalist in the IEEE ITSC YP & WIE 3-Minute Thesis Competition.
Jul 2026 🎤 Berkeley Lab Seminar: I presented my research on physics-informed learning and control for mixed-autonomy systems at Lawrence Berkeley National Laboratory.
May 2026 🏆 Outstanding PhD Student: I was named ITS Berkeley’s Outstanding PhD Student of the Year.
May 2026 🏆 H2H8 Presentation Winner: I won first place in the H2H8 Research Presentation Competition.
Apr 2026 📊 ICLR 2026: I presented our work on neural finite volume methods at ICLR 2026 in Rio de Janeiro.
Apr 2026 🎤 NorCal Control Workshop: I gave an oral presentation at the 8th NorCal Control Workshop in Monterey Bay.
Apr 2026 🎤 ASU Seminar: I gave a seminar talk at Arizona State University.
Apr 2026 👩‍🏫 CMU Guest Lecture: I gave a guest lecture on physics-informed learning and control for mixed-autonomy traffic systems at Carnegie Mellon University.
Mar 2026 🏆 Outstanding Graduate Student Peer Mentor: Recognized as an Outstanding Graduate Student Peer Mentor at UC Berkeley, awarded to only 4 students campuswide for exceptional mentorship.
Feb 2026 🥇 CTF Fellowship Winner: Honor to receive the CTF Lipman Family Sustainable Transportation Graduate Fellowship.
Feb 2026 🥇 WTS Scholarship Winner: I received the Bridgette Beato Leadership Legacy Graduate Scholarship from the WTS San Francisco Chapter.
Jan 2026 🎉 Stanford Energy Fellow: I was selected as one of ten scholars across disciplines for the Stanford Energy Postdoctoral Fellowship, which provides three years of independent research funding.
Dec 2025 🎤 NeurIPS Presentation: I presented a poster at NeurIPS 2025.
Nov 2025 🎤 BARS Presentation: I gave a Student Spotlight Talk at the Bay Area Robotics Symposium 2025.
Nov 2025 🎤 Guest Lecture & Mobility Lab Seminar at UCLA: I gave a guest lecture & Mobility Lab Seminar at UCLA.
Nov 2025 🎤 Google X SESE Panelist: I served as the panelist on “Agents, Memory, and Simulation” at the event held by Google and SESE.
Oct 2025 🎤 INFORMS Job Market Showcase Talk: I gave my job market showcase talk at INFORMS 2025 at Atlanta.
Oct 2025 🎤 USC AAI Seminar: I gave a talk at the Autonomy and Artificial Intelligence (AAI) seminar at USC.
Sep 2025 🎤 eMERGE Seminar: I gave a talk at the eMERGE Seminar. ▶️ Watch the talk here
Sep 2025 🚀 MIT EECS Rising Star: I am honored to be selected as an EECS Rising Star! I will attend the workshop held by MIT and BU at the end of October.
Aug 2025 🎤 IGSI Panelist: I served as the panelist for International GSI Perspectives Panel at UC Berkeley for the third time.
Jul 2025 🎤 ACC Presentations: I gave an oral presentation and an invited poster presentation at ACC 2025.
Jun 2025 🎉 Eno Fellow: I was selected as one of 17 graduate students nationwide for the prestigious Eno LDC at the Eno Center for Transportation, and I am super honored to be awarded the Rodney E. Slater Award.
May 2025 🏆 Athena Award Winner: I am honored to receive the Athena Award for Graduate Student Leadership from EDGE in Tech as the sole winner!
May 2025 🎤 NeuS Presentation: I presented our work on Neural Finite Volume Method at NeuS 2025.
Apr 2025 🥈 Berkeley Grad Slam Runner-up: I am excited to be the campus-wide runner-up winner at the 2025 Berkeley Grad Slam competition with my research on traffic flow smoothing!
Apr 2025 🎤 Harvard EE Seminar: I presented my work on Physics-Informed Learning and Control for Intelligent Transportation at Harvard EE Seminar.
Mar 2025 🚀 NSF CPS Rising Star: I am honored to be selected as an NSF CPS Rising Star!
Oct 2024 🥇 AAa/e Graduate Scholarship First Place: I was awarded the Asian American Architects and Engineers Foundation (AAa/e) Graduate Scholarship (First Place) . Due to an unexpected medical issue, I will be receiving the award at the 2025 AAa/e Awards Banquet instead of 2024. I am grateful for the support of the foundation and look forward to celebrating with the community next year!
Oct 2024 🚀 CMU ME Rising Star: I am honored to be selected as a Rising Star in Mechanical Engineering by CMU!
Jul 2024 🎤 ISTTT25 Presentation: I presented our work on Kernel-based Planning and Imitation Learning Control for Flow Smoothing in Mixed Autonomy Traffic at ISTTT25.
May 2024 🏆 Evergreen Award for Undergraduate Researcher Mentoring: I was awarded the Evergreen Award for Undergraduate Researcher Mentoring by the EECS department at UC Berkeley.
Apr 2024 🏆 Oski Student Leadership Award: Honored to receive the Oski Student Leadership Award – Dean’s Award for Inclusive Excellence, the sole campus-wide award recognizing outstanding contributions to diversity, equity, inclusion, and belonging at UC Berkeley.
Oct 2023 🥇 INFORMS Poster Competition First Place: Thrilled to be the First-place Winner of the 2023 INFORMS Poster Competition — selected as 1 of 4 winners out of 200 participants (Top 2%).
Aug 2023 🏆 ITS & CTF Scholarship: Grateful to be awarded the ITS California and California Transportation Foundation (ITSCA & CTF) Scholarship, supporting future leaders in intelligent transportation systems and sustainable mobility.
Jun 2023 🎤 IEEE IV Presentations: I gave an invited workshop presentation and a poster presentation at IEEE IV 2023.
Mar 2022 🏆 Outstanding GSI: Recognized as an Outstanding Graduate Student Instructor (GSI) at UC Berkeley, awarded to the top 10% of GSIs for exceptional teaching and mentorship.