معرفی
Tong Wu is a tenure-track Assistant Professor in the Department of Electrical and Computer Engineering (ECE) at the University of Central Florida (UCF). He received his Ph.D. in Information Engineering from The Chinese University of Hong Kong in 2021 and served as a Postdoctoral Associate at Cornell Tech, Cornell University from 2021-2024. He leads the Intelligent Control and Sustainable Energy Systems (ICSES) Lab at UCF, focusing on advanced control systems for sustainable energy applications.
Research Interests:
Dr. Wu's research spans several interconnected areas of electrical engineering and computer science, with particular emphasis on:
- Safe reinforcement learning for critical infrastructure systems
- Graph signal processing and neural network applications in power grids
- Distributed optimization techniques for smart grids
- Machine learning approaches for energy system security and stability
- Privacy-preserving methods for power system operations
Publication Trends:
His recent publications demonstrate a strong focus on applying machine learning techniques to power systems challenges. Key themes include reinforcement learning for grid control and optimization, graph neural networks for spatiotemporal power system data, privacy-preserving computation in distributed energy systems, and advanced control strategies for electric vehicle integration. His work consistently bridges theoretical AI advancements with practical power engineering applications.
Professional Activities:
Dr. Wu actively contributes to the academic community through journal and conference reviews for prestigious publications including:
- IEEE Transactions on Power Systems
- IEEE Transactions on Smart Grid
- IEEE Transactions on Signal Processing
- IEEE Internet of Things Journal
- IEEE PES General Meeting
- IEEE Conference on Decision and Control
