Machine Learning and Optimisation
Machine Learning is revolutionising the world. It is difficult to think of a technology that has progressed so rapidly, in terms of real-world impact. Our group is interested in new theory, metholodogies, and cross-discipline scientific impact, as well as consumer-driven applications.
Dr Jon Shapiro (Group lead)
Reinforcement learning, game theory, Bayesian methods.
Prof Gavin Brown
Information theoretic methods, feature selection, deep learning, applications in health.
Dr Ke Chen
Deep learning, vision and speech representations, zero-shot learning, game AI.
Dr Tingting Mu
Representation and metric learning, relational data analysis, NLP/vision.
Dr Xiaojun Zeng
Big Data analytics, deep learning, fuzzy systems, applications in finance, energy, and health.
Prof Ross King
Automation of science, inductive logic programming.
Reinforcement learning, game theory, Bayesian methods.
Prof Gavin Brown
Information theoretic methods, feature selection, deep learning, applications in health.
Dr Ke Chen
Deep learning, vision and speech representations, zero-shot learning, game AI.
Dr Tingting Mu
Representation and metric learning, relational data analysis, NLP/vision.
Dr Xiaojun Zeng
Big Data analytics, deep learning, fuzzy systems, applications in finance, energy, and health.
Prof Ross King
Automation of science, inductive logic programming.
We are maintain cross-discipline collaborations with areas of interest to modern Machine Learning, including high-performance hardware for computer vision and neuro-morphic computing. We are part of a wider University Data Science Institute - see some more details of ML across the university here. Some of our community groups are linked below, though Manchester is diverse and ever-changing, as such this list non-exhaustive.
Health Data Analytics | Image Analytics | Computational Statistics | Text Analytics |
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Prof Magnus Rattray Dr Niels Peek Prof Richard Emsley The e-Health Research Centre
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Prof Tim Cootes Dr Neil Thacker Prof Chris Taylor FREng OBE
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Dr Thomas House
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Prof Goran Nenadic
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