Summer Projects
Students begin their Summer project at the end 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 | Stoil Ganev | Learning and then improving upon methods for causal inference of human disease | n/a | |
CDT19 | Tayfun Karaderi | Visual Synthesis of Forams towards a Formalisation of Phenomics | n/a | |
CDT19 | Gavin Leech | Tensorised Probabilistic Programming for Epidemiology | n/a | |
CDT19 | Kipp McAdam Freud | Machine learning methods for real-time detection of memory replay in the sleeping brain |
Nathan Lepora; |
n/a |
CDT19 | Stefan Radic Webster | Explainable AI | Peter Flach; Jonathan Lawry; Nidhal Zribi (EDF Energy) |
EDF Energy |
CDT19 | Philipp Schmitz | Privacy Aware ML | Tom Diethe | n/a |
CDT19 | Grant Stevens | Identification of Active Galactic Nuclei | Olver Ray; Sotiria Fotopoulou; Malcolm Bremer |
n/a |
CDT19 | Emily Vosper | How can AI improve heat-health hazard modelling for climate? |
Dann Mitchell; |
n/a |
CDT19 | Daniel Whettam | The Blind Camera: Perception of Object Interaction Events from Audio Sensors | n/a | |
CDT20 | Henry Addison | Using AI to predict climate change impacts on extreme UK rainfall down to local scales | Peter Watson; Laurence Aitchison |
n/a |
CDT20 | Otto Brookes | Visual Deep Learning meets Primatology: Understanding complex great ape behaviors computationally | Tilo Burghardt; Majid Mirmehdi; Prof. Hjalmar Kuehl (German Centre for Integrative Biodiversity Research (iDiv)) |
n/a |
CDT20 | Oliver Deane | Robotically enhancing clinical interventions for improving perspective taking skills in autistic children | 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 | Understanding and influencing how responsible innovation are understood in data science teams | Paul Marshall; Edwin Simpson; Dylan Rees (LV=) |
LV= |
CDT20 | Jack Hanslope | Deep kernel processes for Bayesian deep learning | Laurence Aitchison | n/a |
CDT20 | Tamsin Huggins | AI to support creativity in the music creation process | Paul Marshall | n/a |
CDT20 | Kevin Kermani Nejad | From unsupervised to reinforcement learning: a neuroscience-inspired approach | Rui Ponte Costa; Paul Anastasiades |
n/a |
CDT20 | Tashi Namgyal | Generative models for music | Peter Flach; Raul Santos-Rodriguez |
n/a |
CDT20 | Amarpal Sahota | Novel data and knowledge driven methods for localisation in the CUBOID SPHERE smart home | n/a | |
CDT20 | Davide Turco | Machine learning and the brain's response to language | Conor Houghton; Jeffrey Bowers; Martha Lewis |
n/a |
CDT21 | Matt Clifford | Sustainable AI Through Model and Data Reuse | Raul Santos-Rodriguez; Nathan Lepora |
n/a |
CDT21 | Dan Collins | Modelling Human Traits and Behaviour through Agent Based Games​ | Nirav Ajmeri; Conor Houghton |
n/a |
CDT21 | Mauro Comi | Active 3D Object Reconstruction for Optical Tactile Sensing | Nathan Lepora; Laurence Aitchison |
n/a |
CDT21 | Alex Davies | Synthetic Social Network Generation | Nirav Ajmeri; Telmo de Menezes e Silva Filho |
n/a |
CDT21 | Isabella Degen | Temporal patterns in insulin need in people with Type 1 Diabetes | Zahraa Abdallah; Kate Robson-Brown |
n/a |
CDT21 | Jonathan Erskine | Towards AI for Teaching Human Students | Raul Santos-Rodriguez; Alex Hepburn |
Thales |
CDT21 | Tony Fang | Using computer vision to identify cows | Neill Cambell | n/a |
CDT21 | Roussel Nzoyem | Accelerating the Algebraic Multigrid Method using Machine Learning | Tom Deakin; Simon Mcintosh-Smith; David Barton |
n/a |
CDT21 | Ellie Prosser | Interactive Agents for Grooming Prevention | n/a | |
CDT21 | Phillip Sloan | Deep Learning for Segmentation of Ischaemic Strokes from MRI imaging | Majid Mirmehdi; Edwin Simpson |
n/a |