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Minjie Chen is an Associate Professor in the Department of Electrical Engineering at Princeton University and a member of the Andlinger Center for Energy and the Environment. His research focuses on power electronics, specifically the modeling and design of high-performance power electronic systems and magnetics. Dr. Chen has made significant contributions to the field, including developing innovative machine learning frameworks for modeling power magnetic material characteristics. He has been recognized with multiple awards, including the IEEE Transactions on Power Electronics Prize Paper Award and the IEEE PELS Richard M. Bass Outstanding Young Power Electronics Engineer Award. He is an active participant in numerous international conferences and workshops, where he presents his latest research findings, and he is dedicated to advancing the field through both his teaching and research efforts. In addition to his academic work, Dr. Chen collaborates with various industry partners to apply his research in practical settings, contributing to sustainable and efficient energy solutions. His work aims to transform the field of power magnetics through data-driven approaches and advanced modeling techniques.
Princeton University • Princeton, NJ
Promoted to Associate Professor after demonstrating excellence in teaching and research in power electronics.
Princeton University • Princeton, NJ
Engaged in teaching, research, and collaboration on projects related to power electronics and energy solutions.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.