Research Group

I am very fortunate to work with a fantastic research group, both within Bath and beyond, including the Visual Computing and Artifical Intelligence groups within Computer Science at Bath.

I am the director of the Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA) that researches and applies visual computing and machine learning technology in the fields of Entertainment, Health and Sports Science.

I am also co-director of the new Centre for Mathematics and Algorithms for Data, an inter-disciplinary group between Mathematical Sciences and Computer Science that studies, in particular, the theoretical underpinnings of Machine Learning and Data Science.

I am the director of research and lead one of the pathfinders for the exciting MyWorld project; this is a £46 million creative hub across the Bath and Bristol region funded by UKRI’s Strength in Places Fund (SIPF) and an alliance of more than 30 industry and academic partners. The goal is to create a creative media powerhouse in the South West; the initiative invovles a collaboration between the Universities of Bath, Bristol, Bath Spa University and the University of the West of England, and will develop major new research and development (R&D) facilities and connect regional and national partners with global tech giants. We will be working on new capture technology (e.g. 3D/4D capture of actors and real locations) for next generation media production (e.g. virtual production).

I am a supervisor for several centres for doctoral training including the Centre for Digital Entertainment (CDE), the CDT in Accountable, Responsible and Transparent AI (ART-AI) and the CDT in Statistical Applied Mathematics (SAMBa).

Collaborations

We have a close collaboration with Carl Henrik Ek at the University of Cambridge and we co-supervise a number of PhD students between Bath, Cambridge and beyond.

We have a long running collaboration with Ivor Simpson, at the University of Sussex, and Sara Vicente, at Niantic Labs, working on structured uncertainty models and their applications to a range of tasks.

We collaborate with Tony Shardlow and Matthias Ehrhardt in the Department of Mathematical Sciences on generative models of shape and inverse problems. We work on machine learning with medical imagaing applications with Richard Bowman at the University of Glasgow and Pietro Cicuta at the Cavendish Laboratory working on the optical microscopy, via the Open Flexure Microscope, as well as working with William Tillett on Arthritis at the Royal National Hospital for Rheumatic Diseases.

In addition, we have long-term collaborations with Gabriel Brostow and Lourdes Agapito at University College London where I am an Honorary Associate Professor.

Post-Doctoral Researchers

Adam Hartshorne

University of Bath (CAMERA)

Working on 3D surface capture and model fitting

(on the MyWorld project)

Cangxiong Chen

University of Bath

Working on machine learning and differential privacy

PhD and EngD Students

Alex Taylor

University of Bath (ART-AI CDT)

Working on applications of machine learning in safety critical engineering

(with Rolls-Royce and Joesph Flynn)

website

Allen Paul

University of Bath (SAMBa CDT)

Working on probabilistic generative shape models

(with Tony Shardlow)

Andrea Braschi

University of Bath (CAMERA)

Working on machine learning for biomechanics modelling with applications to injury prevention in rugby

(with Dario Cazzola and Keith Stokes)

website

David Fernandes

University of Bath

Working on uncertainty propagation and quantification in machine learning

(with Carl Henrik Ek and the National Physical Laboratory)

Emelie Barman

University of Bath (CAMERA)

Working on unsupervised learning applied to Sports Science using Bayesian nonparametrics

(with Carl Henrik Ek, Aki Salo and Dario Cazzola)

Joe Goodier

University of Bath (ART-AI CDT)

Working on interpretable machine learning for medical imaging

(with Innovative Physics Ltd and Charles Larkin)

website

Collaborators

Ivan Ustyuzhaninov

University of Tübingen

Working on Bayesian nonparametrics and the propagation of uncertainty through composite models

(with Carl Henrik Ek)

website

Markus Kaiser

Technical University of Munich and Siemens AG

Working on Bayesian nonparametric models and their application to reinforcement learning and industrial problems

(with Carl Henrik Ek)

website

Olga Mikheeva

KTH Royal Institute of Technology

Working on Bayesian nonparametric models and their application to alignments

(with Carl Henrik Ek)

website

Alumni

Adwaye Rambojun

University of Bath

Working on the automated analysis of x-ray images using shape models

(with Tony Shardlow and William Tillet)

website

Alessandro Di Martino

University of Bath

Learning smooth shape manifolds using Gaussian processes and stochastic networks

(with Carl Henrik Ek)

website github

Andrew Lawrence

University of Bath (Marie Curie Fellow)

Working on unsupervised learning of multivariate dependency structures using Bayesian nonparametrics

(with Carl Henrik Ek)

Boyko Vodenicharski

University of Bath

Working on machine learning for opticial microscopy with applications to malaria

(with Richard Bowman and Pietro Cicuta)

github

Erik Bodin

University of Bristol

Working on Gaussian process models including their application to Baysian optimisation

(with Carl Henrik Ek)

website

Garoe Dorta Perez

University of Bath (Centre for Digital Entertainment)

Working on deep generative models for images with applications to editing

(with Ivor Simpson and Sara Vicente at Anthropics and Lourdes Agapito at UCL)

website github

Ieva Kazlauskaite

University of Bath (Centre for Digital Entertainment)

Working on unsupervised learning of generative alignment models using Bayesian nonparametrics

(with Carl Henrik Ek)

website github

Margaret Duff

University of Bath (SAMBa CDT)

Working on inverse problems and generative models

(with Matthias Ehrhardt)

website

Yiming Wang

University of Bath

Working on the automated analysis of microscopy images for detecting malarial parasites