Xin Li

Prof. Xin Li is a Professor in the Department of Electrical and Computer Engineering at Duke University. His research interests include integrated circuits, signal processing, and data analytics. He has served in various editorial and program committee roles for IEEE and ACM conferences and journals. Prof. Li has been involved in multiple research centers focused on integrated circuit design and systems. He has received several awards, including the NSF CAREER Award and IEEE Donald O. Pederson Best Paper Awards. His work has been published in numerous journals and conferences, covering topics such as battery lifetime prediction, machine learning, and signal processing.

Xin Li is a professor in Electrical and Computer Engineering at Duke University, specializing in Integrated Circuit, Signal Processing, and Data Analytics. His research focuses on advancing hardware implementations for computer vision algorithms, edge computing, and cyber-physical systems. He explores challenges in digital circuit design, particularly in nanoscale CMOS technologies, and develops novel methods for neuromorphic computing and analog/RF circuit design. His work also addresses energy storage optimization, statistical timing analysis, and AI applications in smart logistics. Li's contributions span from algorithm development to hardware-software co-design, emphasizing reliability, performance, and energy efficiency in modern integrated systems.