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    Yicheng Zhu (he/him/his)

    The University of Texas at Austin

    Yicheng Zhu received the B.Eng. and M.S. degrees in electrical engineering from Tsinghua University, Beijing, China, in 2017 and 2020, respectively, and the Ph.D. degree in electrical engineering and computer sciences from the University of California, Berkeley (UC Berkeley), CA, USA, in 2024. He was a Postdoctoral Scholar at UC Berkeley from 2024 to 2025.

    He is currently an Assistant Professor in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin. His research interests include circuit topologies, control techniques, analytical modeling, and high-performance implementations of power electronics for computing and energy systems.

    Dr. Zhu received the IEEE Power and Energy Society (PES) Outstanding Student Scholarship, the Outstanding Tsinghua Master’s Thesis Award, and the Berkeley Fellowship in 2020. He was the 2023 recipient of a Best Paper Award at the IEEE 24th Workshop on Control and Modeling for Power Electronics (COMPEL), a Best Paper Award at the Open Compute Project (OCP) Future Technologies Symposium, and the NVIDIA Graduate Fellowship, awarded annually to five Ph.D. students worldwide involved in research spanning all areas of computing innovation. In 2024, he received the Outstanding Graduate Student Instructor Award and the Teaching Effectiveness Award from UC Berkeley, as well as the Ross N. Tucker Memorial Award from the Department of Electrical Engineering and Computer Sciences at UC Berkeley for outstanding research. In 2025, he received a Best Presentation Award at the IEEE 40th Applied Power Electronics Conference (APEC) and the IEEE Power Electronics Society (PELS) Ph.D. Thesis Talk (P3 Talk) Award.

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