PhD Projects
Students begin their PhD project after the successful completion of the foundation year. Students can choose whether to continue their Summer project as a PhD or whether to take another direction.
Cohort | Student Name | Project Title | Supervisors | Industry partner |
---|---|---|---|---|
CDT19 | Tayfun Karaderi | Visual Synthesis of Forams towards a Formalisation of Phenomics | n/a | |
CDT19 | Gavin Leech | Tensorised Probabilistic Programming | n/a | |
CDT19 | Kipp McAdam Freud | Decoding a Mind-Map: Performing SLAM on Neural Data |
Nathan Lepora; |
n/a |
CDT19 | Grant Stevens | Using Active Learning and Outlier Detection to identify Active Galactic Nuclei |
Olver Ray; Sotiria Fotopoulou; Malcolm Bremer |
n/a |
CDT19 | Emily Vosper | Temperature downscaling under climate change: How can interpretable AI be used to create a reliable regional climate model? |
Dann Mitchell; |
n/a |
CDT19 | Daniel Whettam | Audio-Visual Fusion for Egocentric Computer Vision |
n/a | |
CDT20 | Henry Addison | Machine learning emulation of a local-scale UK climate model | Peter Watson; Laurence Aitchison |
n/a |
CDT20 | Otto Brookes | Visual Deep Learning Meets Primatology: Understanding Complex Great Ape Behaviours Computationally | Tilo Burghardt; Majid Mirmehdi; Prof. Hjalmar Kuehl (German Centre for Integrative Biodiversity Research (iDiv)) |
n/a |
CDT20 | Oliver Deane | Towards Robot Enhanced Autism Interventions Specialized for the Relational Frame Theory Framework |
Oliver Ray; Manuel Giuliani (UWE); Freddy Brown (Clinical Psychologist, NHS) |
n/a |
CDT20 | Kevin Flanagan | Grounding Words Using Vision | Dima Damen; Nello Cristianini; Claire Taylor (QinetiQ) |
QinetiQ |
CDT20 | Vanessa Hanschke | Challenging Concepts of Responsible AI Through Storytelling |
Paul Marshall; Edwin Simpson; Dylan Rees (LV=) |
LV= |
CDT20 | Jack Hanslope | Imitating Careful Experts to avoid Catastrophic Events |
Laurence Aitchison | n/a |
CDT20 | Kevin Kermani Nejad | Self-supervised learning in superficial and deep neocortical layers | Rui Ponte Costa; Paul Anastasiades |
n/a |
CDT20 | Tashi Namgyal | Interactive generative models for music |
Peter Flach; Raul Santos-Rodriguez |
n/a |
CDT20 | Amarpal Sahota | Exploring methods for localization and identification of behaviour changes indicative of Dementia in the CUBOId household | n/a | |
CDT20 | Davide Turco | Language processing in humans and machines: how biomimetic are artificial language models? | Conor Houghton; Jeffrey Bowers; Martha Lewis |
n/a |
CDT21 | Matt Clifford | ReuseML: Towards a More Sustainably Focused AI Pipeline with Focus on Tactile Robotics | n/a | |
CDT21 | Daniel Collins | Exploring Social Intelligence through Interactive Multi-Agent Games | n/a | |
CDT21 | Mauro Comi | 3D Shape Reconstruction using Optical Tactile Sensing | Nathan Lepora; Laurence Aitchison |
n/a |
CDT21 | Alex Davies | Exploring applications and extensions of generative Graph Neural Network (GNN) models | Nirav Ajmeri; Telmo de Menezes e Silva Filho |
n/a |
CD21 | Isabella Degen | Learning the correlation and causality of novel factors that cause changes in insulin needs of people with Type 1 Diabetes | Zahraa Abdallah; Henry Reeve |
n/a |
CDT21 | Jonathan Erskine | Gradient-based labels for learning from small data | Raul Santos-Rodriguez; Alex Hepburn |
Thales |
CDT21 | Roussel Nzoyem | Scaling and error quantification of data-driven fluid simulation techniques for human interaction tasks | Tom Deakin; Simon Mcintosh-Smith; David Barton |
n/a |
CDT21 | Ellie Prosser | Interactive Agents for Online Child Safety | Matthew Edwards; Claudia Peersman |
n/a |
CDT21 | Phillip Sloan | Multimodal Deep Learning in Medical Image Analysis | Majid Mirmehdi; Edwin Simpson |
n/a |
CDT22 | Harry Field | Enhancing Robot Learning from Human Demonstration | n/a | |
CDT22 | Riku Green | Addressing Multi-step Error Accumulation | n/a | |
CDT22 | Sven Hollowell | Voice-control of Personal-Computers using Large Language Models |
Paul Marshall; Raul Santos-Rodriguez
|
n/a |
CDT22 | Rachael Laidlaw | Bootstrapping The Process of Fine-Tuning Ecosystem-Specific Animal Classifiers | n/a | |
CDT22 | Beth Pearson | Improving Compositional Understanding Vision-Language Models | n/a | |
CDT22 | Kal Roberts | Cooperative Exploration for Multi-Agent Reinforcement Learning | n/a | |
CDT22 | Andrew Shannon | Model-based Decoding of Neural Activity | n/a |