Matthew Lennox

Staff

Department of Chemical Engineering

Dr Matthew Lennox
Matthew’s research focuses on exploring the behaviour of molecules in confined spaces using molecular simulation techniques (e.g. Monte Carlo simulations, ab initio and quantum chemical calculations, molecular dynamics). His interests include adsorption-based separations (gas and/or liquid) in nanoporous, microporous and polymeric materials, sensing of toxic or harmful compounds in humid or aqueous environments, and design of effective composite materials for separations and sensing applications.

University of Bath Research Portal

https://researchportal.bath.ac.uk/en/persons/matthew-lennox/

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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