Xinliang Dai
Postdoctoral Research Associate
Xinliang Dai is a postdoctoral researcher working on distributed optimization for large-scale energy systems.
Xinliang’s research focuses on graph-based distributed optimization, flexibility aggregation, and nonlinear model predictive control (NMPC). He holds a Ph.D. and an M.Sc. in Electrical Engineering and Information Technology from the Karlsruhe Institute of Technology (KIT) in Germany, and a B.Sc. from Jilin University in China.
You can connect with him on LinkedIn here and view his publications on Google Scholar here.