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Zhenman Fang is an Associate Professor in the Faculty of Applied Sciences at Simon Fraser University. With a postdoctoral background in Computer Science from the University of California, Los Angeles, he holds a Ph.D. in Computer Science from Fudan University, China, obtained in 2014. His earlier education includes a B.Sc. in Computer Science from University College Dublin and a B.Eng. in Software Engineering from Fudan University. Dr. Fang's research interests encompass emerging workload characterization and optimization in computational genomics, machine learning, and big data analytics. His technical focus also includes computer architecture, emphasizing heterogeneous energy-efficient accelerator-rich systems, multicore architectures, and memory systems for near data computation. Furthermore, he investigates compiler optimization for enhancing memory system performance and supports architectures that improve big data computing systems with FPGA accelerators. He is actively involved in various teaching and research endeavors, contributing significantly to the fields of computer architecture and programming.
Department of Philosophy