
Dr Yubo Huang
BSc, MEng, PhD
Expertise
Current positions
Senior Research Associate
School of Computer Science
Contact
Press and media
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Research interests
My current research focuses on designing high-performance algorithms to accelerate numerical weather model simulations. Additionally, I am interested in developing advanced deep learning-based control techniques and applying them to autonomous systems, including wind and tidal turbines, as well as unmanned aerial and surface vehicles.
Publications
Recent publications
05/03/2025Wind Farm Control via Offline Reinforcement Learning with Adversarial Training
IEEE Transactions on Automation Science and Engineering
Reinforcement Learning-Based Multiobjective Control of Grid-Connected Wind Farms
IEEE Transactions on Industrial Informatics
Multi-Agent Reinforcement Learning Control of a Hydrostatic Wind Turbine-Based Farm
IEEE Transactions on Sustainable Energy