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Lei Ying received his B.E. degree from Tsinghua University in Beijing, China and his M.S. and Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign. He is currently a Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. Ying is an IEEE Fellow and serves as the Editor-at-Large for the IEEE/ACM Transactions on Networking. His research broadly focuses on the interplay of complex stochastic systems and big data, reinforcement learning, large-scale communication and computing systems, big data processing, private data marketplaces, and large-scale graph mining. He has co-authored books such as 'Communication Networks: Optimization, Control and Stochastic Networks Perspective' and 'Diffusion Source Localization in Large Networks.' Ying has received multiple awards including the Young Investigator Award from the Defense Threat Reduction Agency and the NSF CAREER Award. He was also recognized with various paper awards at conferences like IEEE INFOCOM and ACM SIGMETRICS. Lei Ying is actively engaged in educating Ph.D. students and postdocs in areas including reinforcement learning and stochastic networks.
Iowa State University • Ames, IA
Taught courses and conducted research in the Department of Electrical and Computer Engineering.
Department of Electrical Engineering and Computer Science