Ming Jin

Assistant Professor
Bradley Department of Electrical and Computer Engineering

Education

Ph.D., Electrical Engineering & Computer Science, University of California, Berkeley, 2017
B.Eng., Electronic and Computer Engineering, Hong Kong University of Science and Technology, 2012

Selected Papers

Jin, Ming, and Javad Lavaei. "Stability-certified reinforcement learning: A control-theoretic perspective." IEEE Access 8 (2020): 229086-229100.

Jin, Ming, Heng Chang, Wenwu Zhu, and Somayeh Sojoudi. "Power up! Robust graph convolutional network via graph powering." In 35th AAAI Conference on Artificial Intelligence. 2021.

Jin, Ming, Javad Lavaei, and Karl Henrik Johansson. "Power grid AC-based state estimation: Vulnerability analysis against cyber attacks." IEEE Transactions on Automatic Control 64.5 (2018): 1784-1799.

Selected Projects

Assured learning-based control for dynamical systems

Robust graph learning and multi-agent control

Reinforcement learning for resilient power systems