Current Institution: Massachusetts Institute of Technology
Bio: Guang Wang is a Postdoctoral Research Associate in the MIT Institute for Data, Systems, and Society (IDSS), Schwarzman College of Computing, working with Prof. Alex ‘Sandy’ Pentland as a member of the MIT Media Lab. He obtained his Ph.D. degree in Computer Science Under Prof. Desheng Zhang at Rutgers University. His research focuses on addressing real-world scientific and societal challenges with big data-driven modeling and socially informed decision-making, inspired by applications on Smart Cities and Human Mobility. He has been publishing extensively in top-tier Computer Science conferences, e.g., MobiCom, UbiComp, KDD, RTSS, ICDE, etc. He has been honored with the Outstanding Paper Award in the IEEE RTSS 2021.
Abstract: Data-Driven Societal Cyber-Physical Systems for Smart Cities
My research lies at the intersection of Cyber-Physical Systems (CPS), Bis Data Analytics, Real-Time Systems, and Machine Learning, especially for applications on Smart Cities. My research goals include (i) understanding physical phenomena and discovering real-world problems by big data-driven measurement and prediction, and (ii) managing the physical systems and improving the quality of human life by socially informed decision making (i.e., control). To achieve my research goals, I have developed a generic research framework by technically integrating three thrusts, i.e., measurement, prediction, and decision making, with a special focus on data-intensive aspects in CPS. Specifically, I have addressed several societal challenges related to real-time electric vehicle charging scheduling, vehicle sensing, and on-demand delivery dispatching, etc.