About Me

Bio

I am an incoming Ph.D. student (starting 2025 Fall) at The Hong Kong University of Science and Technology (Guangzhou).

My research interests lie at the intersection of Power System operation and optimization and Artificial Intelligence, with a particular focus on leveraging Safe Reinforcement Learning (Safe-RL) and advanced optimization techniques to solve complex problems in modern energy grids.

Research Interests

My current research focuses on key issues related to the optimization and control of modern power systems.

Main Research Directions

• ⚡💧🔥 Integrated Energy Systems: Optimization and modeling of integrated electricity-gas/hydrogen energy systems.
• ⚡🚗 Transportation Electrification: Integration of electric vehicles and vehicle-to-grid (V2G) interaction.
• 🤝💰 P2P Energy Trading: Peer-to-Peer distributed energy trading mechanisms and market design.

Methodologies & Tools

• 🧠🤖 AI for Power Systems: Application of Deep Reinforcement Learning (especially Safe-RL and Multi-agent RL) in decision-making.
• 📈⚙️ Optimization Algorithms: Solving complex power flow problems using advanced mathematical optimization.
• 💻🛠️ Tools Development: Developing Python-based frameworks for power system simulation and analysis.