Staff
Ali Uncu

Department of Computer Science

Dr Ali Uncu

I work on developing and applying formal and human-verifiable symbolic computation algorithms to prove novel mathematical results. I am particularly interested in enumerative and algebraic combinatorics and number theory, especially from the problems arising from q-analogs and the theory of partitions. I am just as interested in the utilization of SAT/SMT (satisfiability and satisfiability modulo theories) methods and applied algebraic geometry to solve/simplify mathematical problems regardless of the source.

Research interests

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

 

University of Bath Research Portal:

Ali Uncu — the University of Bath’s research portal

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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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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