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

Sean Williams

Department for Health

Research Interests

• sports injury epidemiology
• training load monitoring
• youth athlete development

Edward Milsom

• Deep Learning
• Optimisation
• Bayesian methods

Wenbin Li

Department of Computer Science

Research interests:

• Reinforcement learning and its inverse problems;
• Graph and network optimisation;
• Continuous state approximation.

Georgios Exarchakis

Department of Computer Science

Research interests:

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

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.

Michael Yang

Department of Computer Science

Research interests:

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

Ali Uncu

Department of Computer Science

Research interests:

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

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

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.