Staff
Ron Lavi

Department of Economics

Dr Ron Lavi

Ron’s research is in algorithmic game theory and internet economics, which is a relatively new research discipline that has evolved since the beginning of the 2000s. It employs mathematical tools (e.g., graph theory, probability theory, combinatorics) to study various topics on the border of economics, game theory and computer science. Examples include the design and analysis of auctions (which are the main source of revenue for Internet companies like Google and Facebook), social networks, crowdsourcing websites, cryptocurrency systems, etc. This active research community holds an annual conference and to obtain a better feel to the type of research being offered. List of papers presented at the annual conference for reference: https://ec22.sigecom.org/program/accepted-papers/

 

University of Bath Research Portal: 

https://researchportal.bath.ac.uk/en/persons/ron-lavi

Second Supervisors

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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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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