Staff
Tom Arnot

Department of Chemical Engineering

Dr Tom Arnot

Tom’s research falls into two main areas: sustainable water and waste water treatment, and novel drug delivery systems/responsive wound dressings. On the water treatment side he works on renewable energy via anaerobic digestion, membrane bioreactors for water recovery from domestic waste streams, and algal photo-bioreactors for nutrient capture. Modelling challenges involve multi-parameter estimation in complex algebraic, ODE, and PDE equation systems. The work on responsive wound dressings involves the development of nanoemulsions to act as mimics of cell membranes, and hence carry bacteriophage to a wound site and prevent infection. These provide interesting fluid flow, transport, and multi-species interaction problems to model.

 

University of Bath Research Portal

https://researchportal.bath.ac.uk/en/persons/tom-arnot/

Second Supervisors

Francesco Aiello

Department for Health

Research interests:

  • Injury epidemiology, mechanisms, and prevention
  • Training load, fatigue monitoring, and recovery strategies
  • Sport technology, data science and their application in elite sport
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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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