Staff
John Chew

Department of Chemical Engineering

Professor John Chew

John has particular interest in the process and computational modelling of the flow behaviour of multi-phase systems where external forces are important, arising from mechanical action and chemical/phase changes. Typical examples of multi-phase flow include, fracking and enhanced crude oil recovery operations (gas-liquid-solid), polymeric materials used as thickening agents in pharmaceutical applications, foods, creams, gels (liquid-solid) and mixing process in chemical reactors (gas-liquid).

 

University of Bath Research Portal

https://researchportal.bath.ac.uk/en/persons/john-chew/

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
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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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Antonio Pellegrino

Department of Mechanical Engineering

Research Interests:

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

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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).
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Ron Lavi

Department of Economics

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