Xinze Li

University of Arkansas

Xinze Li received the bachelor’s degree in electrical engineering from Shandong University, Shandong, China, in 2018, and the Ph.D. degree in electrical and electronic engineering from Nanyang Technological University, Singapore, in 2023. He joined the University of Arkansas, USA, as a postdoctoral research fellow in 2024 and a lecturer in 2025. He has interdisciplinary backgrounds of AI and power electronics: He worked as a research engineer for Rolls-Royce Singapore, and he gained AI industry experience in computer vision with Singtel (the largest telecom company in Singapore) and AI research experience in natural language processing.
His research interests include power converter design, design process automation, light and explainable AI for power electronics with physics-informed systems, and the application of AI in power electronics.
Dr Li was the sole recipient of the 2023 NTU Collaborative Research Award. He won the Second Prize Paper Award from the IEEE Industry Applications Society and the Outstanding Presentation Award at the IEEE Applied Power Electronics Conference and Exposition 2023.

Presentation(s):

• IS08.7 - Physics-Informed Machine Learning for Power Electronics Design

  Wednesday, March 25, 2026
  11:30 AM - 11:55 AM CT