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 a member 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.

External Collaborators

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

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

Post-Doctoral Researchers

adwaye

Adwaye Rambojun

Adwaye Rambojun

University of Bath

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

(with Tony Shardlow and William Tillet)

cangxiong

Cangxiong Chen

Cangxiong Chen

University of Bath

Working on machine learning and differential privacy

yiming

Yiming Wang

Yiming Wang

University of Bath

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

PhD and EngD Students

Adam Hartshorne

Adam Hartshorne

Adam Hartshorne

University of Bath

Working on fitting and alignment of subdivision surfaces

andrew

Andrew Lawrence

Andrew Lawrence

University of Bath (Marie Curie Fellow)

Working on unsupervised learning of multivariate dependency structures using Bayesian nonparametrics

(with Carl Henrik Ek)

david

David Fernandes

David Fernandes

University of Bath

Working on uncertainty propagation and quantification in machine learning

(with Carl Henrik Ek and the National Physical Laboratory)

emelie

Emelie Barman

Emelie Barman

University of Bath

Working on unsupervised learning applied to Sports Science using Bayesian nonparametrics

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

erik

Erik Bodin

Erik Bodin

University of Bristol

Working on Gaussian process models including their application to Baysian optimisation

(with Carl Henrik Ek)

website
Margaret Duff

Margaret Duff

Margaret Duff

University of Bath (SAMBa CDT)

Working on inverse problems and generative models

(with Matthias Ehrhardt)

Collaborators

ivan

Ivan Ustyuzhaninov

Ivan Ustyuzhaninov

University of Tübingen

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

(with Carl Henrik Ek)

website
markus

Markus Kaiser

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

Alumni

alessandro

Alessandro Di Martino

Alessandro Di Martino

University of Bath

Learning smooth shape manifolds using Gaussian processes and stochastic networks

(with Carl Henrik Ek)

website    github
garoe

Garoe Dorta Perez

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

Ieva Kazlauskaite

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