Staff
Tina Düren

Department of Chemical Engineering

Professor Tina Düren
Tina uses molecular simulation (e.g. Monte Carlo, molecular dynamics and ab initio methods) to design innovative porous materials with properties tailored for specific adsorption applications including for example carbon capture, energy storage or drug delivery. In her research she not only studies the applications in detail but also looks at how these porous materials form across different length scales.

 

University of Bath Research Portal

https://researchportal.bath.ac.uk/en/persons/tina-d%C3%BCren/

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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