Staff
Matthew Lennox

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

Georgios Exarchakis

Department of Computer Science

Research interests:

  • Learning Invariant Representations of High Dimensional Data
  • Efficient Inference and Learning in Probabilistic Models
  • Deep Learning
learn more

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.
learn more

Michael Yang

Department of Computer Science

Research interests:

  • 3D scene synthesis
  • Scene graph generation
  • Multimodal learning
learn more

Ali Uncu

Department of Computer Science

Research interests:

  • Applications of Computer Algebra
  • Combinatorics and q-series
  • Developing new algorithms for mathematics
learn more

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
learn more

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.
learn more

Antonio Pellegrino

Department of Mechanical Engineering

Research Interests:

  • Experimental mechanics
  • Applications of artificial intelligence to Solid Mechanics and materials modelling.
  • Impact Engineering
learn more

Jun Zang

Department of Architecture and Civil Engineering

Jun’s research concerns the hydrodynamic loadings on urban, coastal and offshore structures and the impact of extreme events on such structures.

learn more

Dylan Thompson

Department for Health

Research interests:

  • 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).
learn more

Ron Lavi

Department of Economics

learn more