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Jing Li is an Associate Professor at the University of Pennsylvania, where he holds the title of Eduardo D. Glandt Faculty Fellow. His research interests encompass Computer Architecture, Machine Learning, Distributed Systems, VLSI, and Microelectronics. Dr. Li has made significant contributions to the field, particularly in the development of improved performance metrics for hardware accelerators and the design of robust spin-torque transfer magnetic RAM architectures. His work often integrates cutting-edge methodologies in FPGA and VLSI design, aiming to enhance computational efficiency and reliability in emerging memory technologies. Dr. Li has been recognized for his innovative research and is actively involved in various projects that push the boundaries of current technology. He teaches and mentors students in high-performance computing and memory design, fostering the next generation of engineers in the field of electrical and computer engineering. With a robust publication record, he continues to influence both academic and industry practices in his areas of expertise.
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