Minjie Chen

Minjie Chen is an Associate Professor of Electrical and Computer Engineering and Andlinger Center for Energy and the Environment at Princeton University. His research focuses on Applied Physics, Energy & Environment, Integrated Circuits & Systems, Materials & Devices, Robotics & Cyberphysical Systems. His work centers on developing novel power electronics solutions for a wide range of applications, including energy harvesting circuits, electric vehicles, data centers, and renewable integration. He received his Ph.D. from MIT in 2015 and his B.S. from Tsinghua University in 2009. Before joining Princeton, he was a postdoctoral associate at MIT RLE. His research has been recognized with several awards, including the IEEE Transaction First Prize Paper Award and the Chorafas Foundation Award for outstanding Ph.D. thesis.

Minjie Chen is an Associate Professor at Princeton University specializing in Power Electronics, Magnetics, Architecture, Modeling and Control. His research focuses on developing advanced power conversion systems, energy buffer architectures, and machine learning frameworks for magnetic material modeling. Chen's work includes the design of compact modular converters, stacked switched capacitor architectures, and data-driven models for magnetic core loss. He has contributed to the development of open-source databases and AI tools for power system analysis and optimization. His research emphasizes the integration of power electronics with emerging technologies such as wireless power transfer and photovoltaic energy extraction.