| Researcher | Project Title | |
|---|---|---|
| Alejandro Frangi | INSILEX: Computational Precision Medicine for In-Silico Trials of Medical Devices | |
| Andy Hooper | DEEPVOLC | |
| Anna Hogg | SENSE | |
| Antreas Kalli | Investigating protein-lipid interactions with molecular simulations and machine learning | |
| Antreas Kalli | Computational studies of membrane proteins | |
| Arash Rabbani | 3D image reconstruction using generative AI | |
| David Hogg | Support for UKRI CDT in AI for Medical Diagnosis and Care | |
| Emily Clarke | Enhanced phenotyping of melanocytic tumours | |
| Hamish Carr | Parallel Peak Pruning | |
| He Wang | Deep Learning and Partial Differential Equations | |
| Jian Liu | Brain-inspired reinforcement Learning | |
| Jiehan Chong | Effects of membrane cholesterol on Piezo1 mechanical activation | |
| Joseph Barker | Semi-quantum calculations of magnetic materials | |
| Lena Almutair | Clinical Narrative Retrieval based on Deep Learning Approach that utilizes Semantic Features | |
| Mark Richardson | Centre for Environmental Modelling and Computation | |
| Martin Callaghan | Hybrid-ensemble approaches to summarising documents at scale | |
| Peter Jimack | Physics Informed Deep Learning for Inverse Problems in Solid Mechanics | |
| Richard Mandle | A New Order of Liquids: Ferroelectric Nematic Liquid Crystals | |
| Sam Relton | Temporal Graph ConvNets for Health Records | |
| Serge Sharoff | Multilingual Language Technology | |
| Sharib Ali | Computational endoscopy, surgery, pathology and low-cost devices | |
| Thomas Hazlehurst | Advanced Crystal Shape Descriptors for Precision Particulate Design, Characterisation and Processing | |
| Tom Kelly | Massive image generation | |
| Wuhu Feng | Atmospheric Chemistry Modelling Development | |
| Xiaohui Chen | Physics informed deep learning for groundwater prediction |
Bede Research projects at The University of Leeds
A list of Leeds researchers using the Bede supercomputer in their research.