Rate My Professor Xiaowei Zhao

Professor Zhao's research specializations encompass control theory and machine learning with applications in offshore renewable energy systems, energy storage, smart grids, and autonomous systems. Since 2017, he has secured 20 grants funded by UKRI including EPSRC and Innovate UK, EU programmes such as Horizon 2020 and Horizon Europe, and industry, with a total project value exceeding £45 million. At Warwick, he established the Intelligent Control & Smart Energy (ICSE) research group consisting of around 20 PhD students and postdoctoral researchers, along with four state-of-the-art laboratories: the Offshore Renewable Energy Lab, the Renewable Energy Integration and Smart Grid Lab, the Hydrogen Technology Lab, and the Autonomous Systems Lab. His publication record features over 110 journal publications since 2020, including 'Heterogeneous multi-agent proximal policy optimization based control of solid oxide electrolysis and wind turbine generator for fast frequency response' in Applied Energy (2026), 'Spatiotemporal nonlinear ocean wave prediction with uncertainty quantification and universal predictable zone determination' in Applied Energy (2026), 'Flowformer: Toward a foundation model for full-flow-field wind farm wake modeling' in Renewable Energy (2025), and 'Wind farm control technologies: from classical control to reinforcement learning' (2022).