Research Fellows
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Zheming Zuo (webpage)
Research direction: multi-source transfer learning for the challenges in water engineering, computer vision. EPSRC project (finished in 2026) |
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PhD Students
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Chenguang Xiao (webpage)
Research direction: federated learning and class imbalance learning (Graduated in 2025, now at BestPay, Shanghai 翼支付) |
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Zhaoyang Wang (webpage)
Research direction: Neural Architecture Search(NAS), meta-learning and online learning. He is currently working on AutoML for class imbalance and data stream problems. (Graduated in 2026) |
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Yongjian Li (co-supervised with Prof. Lee Chapman)
Research direction: Machine Learning, Data Mining, Computer Vision, Multimedia Signal Processing, etc. His current focus is on optimizing and improving highway meteorological information systems, building upon his most recent research in this area. |
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Shiqiao Zhou (in collaboration with Siemens Research, Germany, Dr. Holger Schoener)
Research direction: adaptive time series machine learning for smart building systems under uncertainty. |
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Sean Groom (in collaboration with Nottingham Forest Football Club, Dr. Francisco Belo)
Research direction: AI techniques for football strategy and performance analysis. |
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Freya Wentzel (in collaboration with Siemens Research, Switzerland, Dr. Ganesh Ramanathan)
Research topic: Multi-agent systems with energy-constrained devices in building automation |
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Fuaad Shurie (in collaboration with Johnson Matthey Ltd., UK, co-supervised by Dr. Mingzhe Yu and Dr. Li Liu)
Research topic: Dynamic drying control for catalysis monoliths and membranes |
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