Wei WANG

Biography

Wei Wang received his B.Eng. and M.Eng. degrees in Electrical Engineering from Shanghai Jiao Tong University in 2007 and 2010, respectively, and his Ph.D. in Electrical and Computer Engineering from the University of Toronto in 2015. He joined the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST) in 2015, where he is currently an Associate Professor. He also leads the HKUST Big Data Institute as Associate Director and holds additional leadership roles within HKUST’s data and AI research initiatives. Dr. Wang’s research interests encompass distributed and cloud systems, with a recent focus on distributed machine learning systems, serverless computing, and large-scale cluster management for AI clouds. He has published over 100 peer-reviewed papers in leading conferences and journals. His work has been recognized with Best Paper Awards at ACM EuroSys 2025 and ACM SoCC 2023, as well as Best Paper Runner-Up Awards at IEEE ICDCS 2021 and USENIX ICAC 2013. He currently serves as an Associate Editor of IEEE Transactions on Parallel and Distributed Systems. Previously, he was a Guest Editor for IEEE Transactions on Big Data and IEEE Network, and has been recognized as a Distinguished TPC Member of IEEE INFOCOM on four occasions.