About
He is a postdoctoral fellow in the department of electrical and computer engineering at the University of Alabama (UA). His research interests include energy-efficient computing systems from hardware to software, AI applications through advanced CAD/EDA and DTCO/STCO, AI hardware design with privacy, neuromorphic systems, AI-driven VLSI optimization, IC design, synthesis, verification, emerging interconnects/ beyond-CMOS/ memory technologies, and physical design.
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Born into an ordinary family, Dr. Pei developed resilience early in life. Prior to university, he combined rigorous academic preparation with a significant personal transformation through long-distance running, cultivating discipline and endurance, qualities that later underpinned his academic and industrial achievements. He received the M.S. and Ph.D. degrees in electrical engineering from Columbia University and The University of Texas at Arlington (UTA), respectively. During his Ph.D., he collaborated with the IMEC to develop the CACTI++ framework, which bridges key gaps in rapid EDA-based co-design and co-optimization from the transistor to the system level. He was a senior design engineer in IP Group R&D for tapeout at Cadence Design Systems, Inc. for four years, gaining expertise in the full RTL-to-GDSII workflow.