Biography
Tong Wu received his doctoral degree in information engineering from The Chinese University of Hong Kong in 2021. From September 2021 to August 2024, he was a postdoctoral associate in the Cornell Tech at Cornell University. His research interests include safe reinforcement learning, graph signal processing and graph neural networks in power systems.
Publications
- Tong Wu, Anna Scaglione, Daniel Arnold. Constrained reinforcement learning for predictive control in real-time stochastic dynamic optimal power flow, IEEE Transactions on Power Systems, May 2024.
- Tong Wu, Anna Scaglione, Daniel Arnold. Complex-value spatio-temporal graph convolutional neural networks and its applications to electric power systems AI, IEEE Transactions on Smart Grid, May 2024.
- Tong Wu, Ignacio Losada Carreno, Anna Scaglione, Daniel Arnold. Spatio-temporal graph convolutional neural networks for physics-aware grid learning algorithms, IEEE Transactions on Smart Grid, September 2023.
- Tong Wu, Changhong Zhao, Ying-Jun Angela Zhang. Privacy-preserving distributed optimal power flow with partially homomorphic encryption. IEEE Transactions on Smart Grid, September 2021.
- Tong Wu, Changhong Zhao, Ying-Jun Angela Zhang. Distributed AC-DC optimal power dispatch of VSC-based energy routers in smart microgrids. IEEE Transactions on Power Systems, September 2021.
Research Interests
- Smart Grids
- Distributed Generation and Optimization
- Digital Signal Processing
- Machine Learning
- Artificial Neural Networks