Minjie Chen of Princeton University

Power electronics is a foundational technology that drives a wide range of important and emerging applications including cloud computing, wireless communications, robotics, and smart energy systems. By systematically managing the increased complexity in materials, circuits, and systems, new opportunities are created to greatly advance the functionality and performance of power electronics systems.

This speech provides a few examples to illustrate the potential of managed complexity in power electronics design. These include: 1) modular and scalable architecture for systematically managed complexity in high performance circuits; 2) artificial intelligence and machine learning for systematically managed complexity in passive component modeling. This managed complexity approach addresses key challenges in emerging applications by overcoming traditional design barriers from new angles and redefining how power electronics are conceived and implemented in complex systems.

Biography:

Minjie Chen is an Associate Professor of Electrical and Computer Engineering at Princeton University, where he leads the Princeton Power Electronics Research Group. He is currently on academic sabbatical with Nvidia Research in Santa Clara. He received his Ph.D. in EECS from MIT and his B.S. in Electrical Engineering from Tsinghua University. He is a recipient of the IEEE PELS Richard M. Bass Outstanding Young Engineer Award, the Isao Takahashi Power Electronics Award, Princeton SEAS Junior Faculty Award, NSF CAREER Award, MIT Dimitris N. Chorafas Ph.D. Thesis Award, and more than 15 prize papers from top-tier IEEE journals and conferences. He is a PELS Distinguished Lecturer, a co-Editor-in-Chief of IEEE Transactions on Power Electronics and was listed multiple times on the Princeton Engineering Commendation List for Outstanding Teaching.