Staff
Dylan Thompson

Department for Health

Professor Dylan Thompson

Research interests are in the areas of: physical activity, energy balance and chronic disease; physical activity assessment, measurement and feedback; nutrition, physical activity and adipose tissue function; exercise, nutrition and metabolism (including immunometabolism).

 

University of Bath Research Portal: 

https://researchportal.bath.ac.uk/en/persons/dylan-thompson

Second Supervisors

Sean Williams

Department for Health

Research Interests

  • sports injury epidemiology
  • training load monitoring
  • youth athlete development
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Edward Milsom

  • Deep Learning
  • Optimisation
  • Bayesian methods
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Thomas Powell

Department of Computer Science

Research interests:

  • Applications of logic in pure and applied probability.
  • Stochastic optimization.
  • Functional analysis.
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Wenbin Li

Department of Computer Science

Research interests:

  • Reinforcement learning and its inverse problems;
  • Graph and network optimisation;
  • Continuous state approximation.
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Georgios Exarchakis

Department of Computer Science

Research interests:

  • Learning Invariant Representations of High Dimensional Data
  • Efficient Inference and Learning in Probabilistic Models
  • Deep Learning
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Rohit Babbar

Department of Computer Science

Research interests:

  • supervised learning problems with large label spaces,
  • learning with long-tailed data, and under label/input noise,
  • sparse neural networks for energy & memory efficient training/fine-tuning with LLMs, and
  • generalisation/robustness in deep learning.
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Michael Yang

Department of Computer Science

Research interests:

  • 3D scene synthesis
  • Scene graph generation
  • Multimodal learning
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Ali Uncu

Department of Computer Science

Research interests:

  • Applications of Computer Algebra
  • Combinatorics and q-series
  • Developing new algorithms for mathematics
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Alessandro Leronni

Department of Mechanical Engineering

Research interests

  • Continuum modelling of electrochemo-mechanical systems
  • Finite element implementation of multiphysics frameworks
  • Smart materials, energy storage, and developmental biology
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Da Chen

Department of Computer Science

Research interests:

  • Computer vision, deep learning, multimodal learning: general CV/ML tasks in practical scenarios.
  • Learning with limited data: Learning with imbalanced data, long-tailed data, open-set data, out-of-distribution data, etc; incremental learning, few-shot learning, etc.
  • Video processing: multimodal learning with video with visual, textual, and audio information.
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