Ming Jin
Ming Jin joined Virginia Tech in 2020 as an assistant professor in Bradley Department of Electrical and Computer Engineering and is core faculty at the Sanghani Center.
Jin’s expertise is in optimization, control, and machine learning (especially reinforcement learning). His research is broadly related to trustworthy AI, cyber-physical systems, security, and human-in-the-loop decision making.
Jin’s work has also been recognized by several Best Paper Awards and media outlets (including MIT Technology Review and IEEE Spectrum). His group also won first place in the 2021 CityLearn Challenge, an international competition for reinforcement learning solutions for smart cities.
Jin received the B.Eng. Honorary degree in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology in 2012; a Ph.D. from the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley in 2017; and was a postdoctoral scholar at the Department of Industrial Engineering and Operations Research at the University of California, Berkeley from 2018 to 2020.
Computer Vision
Forecasting
Intelligence Analysis
Network Science
Social Media Analytics
Sustainability
Urban Computing
