Eamonn O'Neill - Samba

Staff

Eamonn O’Neill

Department of Computer Science

Professor Eamonn O’Neill

Eamonn’s research has the overarching goal of developing an applied science of human-computer interaction (HCI). This involves developing a sound theoretical footing for HCI and deriving design principles for the development of human-computer systems that are theoretically well-founded, empirically tested and operationalised for people’s use.

University of Bath Research Portal:

https://researchportal.bath.ac.uk/en/persons/eamonn-oneill/

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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