Dawei Qiu

Dr. Dawei Qiu is a Research Fellow in the Department of Electrical and Electronic Engineering at Imperial College London, focusing on low-carbon energy systems and market design. He holds a PhD from Imperial College London (2020), an M.Sc. from University College London (2015), and a B.Eng. from Northumbria University (2014). His work integrates artificial intelligence, game theory, and reinforcement learning to address challenges in energy systems, including peer-to-peer trading, microgrid resilience, and decarbonization strategies. He is affiliated with the Control and Power Research Group and has published over 40 peer-reviewed papers, including influential work in IEEE Transactions and IJCAI.

Research interests center on decentralized energy markets, multi-energy system integration, and AI-driven solutions for grid resilience. His recent publications explore federated reinforcement learning for P2P energy trading, resilience enhancement of multi-agent systems, and carbon-aware energy management in power-transport networks. Dr. Qiu’s work emphasizes practical applications, such as electric vehicle coordination for decarbonization and adaptive tariff design for local energy communities.

He has contributed to frameworks for TSO-DSO services coordination and vulnerability assessment of energy systems. His research bridges theoretical advancements in machine learning with real-world energy challenges, aiming to accelerate the transition to sustainable energy systems.