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Jie Gu is an Associate Professor in the Department of Electrical and Computer Engineering at Northwestern University. He holds a Ph.D. in Electrical and Computer Engineering from the University of Minnesota and a Master’s degree from Texas A&M University. His primary research interests lie in the fields of Machine Learning Accelerators, Energy Efficient Mixed-signal Computing, and AI Empowered Biomedical Device Human Machine Interfaces. Dr. Gu has contributed to advancements in Emerging Neuromorphic Computing Design and has played a key role in the development of novel architecture circuits for microprocessors. He has published numerous papers in prestigious conferences such as the International Solid-State Circuit Conference and the Design Automation Conference, focusing on cutting-edge topics like real-time scientific computing, embedded systems, and hardware-software co-design for AR/VR applications. Throughout his career, Jie Gu has been dedicated to exploring innovative solutions that enhance data processing efficiency and reliability, making significant strides in the integration of AI with traditional computing frameworks.
Standard PhD requirements for TGS departments including Chemistry, Physics, and Sociology.