Minghua Chen – Biography and CVMinghua received his B.Eng. and M.S. degrees from the Department of Electronic Engineering at Tsinghua University. He received his Ph.D. degree from the Department of Electrical Engineering and Computer Sciences at University of California Berkeley. He is currently a Presidential Chair Professor at School of Data Science, The Chinese University of Hong Kong, Shenzhen, on leave from City University of Hong Kong. Minghua received the Eli Jury award from UC Berkeley in 2007 (presented to a graduate student or recent alumnus for outstanding achievement in the area of Systems, Communications, Control, or Signal Processing) and The Chinese University of Hong Kong Young Researcher Award in 2013. He also received several best paper awards, including IEEE ICME Best Paper Award in 2009, IEEE Transactions on Multimedia Prize Paper Award in 2009, ACM Multimedia Best Paper Award in 2012, IEEE INFOCOM Best Poster Award in 2021, ACM e-Energy Best Paper Award in 2023, and Nature Communications Editors’ Highlights in 2025 (as one of the 17 selected papers in Engineering and Infrastructure). He received ACM Recognition of Service Awards and is currently serving as the Award Chair and Executive Committee member of ACM SIGEnergy, Steering Committee Member of IEEE/ACM IWQoS, Track Chairs of ACM e-Energy, TPC Area Chair for IEEE INFOCOM, and Area Chair for NeurIPS. Minghua’s recent research interests include machine learning for optimization, online optimization and algorithms, machine learning in power system operation, intelligent transportation systems, distributed optimization, delay-constrained network coding, and capitalizing the benefit of data-driven prediction in algorithm/system design. He is an ACM Distinguished Scientist and an IEEE Fellow. |