Learn more about these projects on our Bede research pages.
| Researcher | Project Title | |
|---|---|---|
| Aad van Moorsel | Application Prediction (Stream anad Batch Applications) | |
| Andy Aspden | DNS of turbulent lean premixed hydrogen flames | |
| Anil Wipat | Use of deep learning for prediciting therapeutic antibody fragments | |
| Arthur Howard | Premature Enhanced Automated Capture of Comfort Knowledge (PEACOCK) | |
| Bo Wei | Intelligent Internet of Things | |
| Bo Wei | Intelligent Internet of Things | |
| Daniel Cole | Computational Medicinal Chemistry | |
| Jacek Cala | Autonomous UAV Control in Simulation and Real-world Environments. | |
| Jaume Bacardit | Robust and Interpretable Deep Learning for Biomedical Data | |
| Kathryn Garside | Creativity Engine | |
| Kathryn Garside | Chicken Run | |
| Nik Khadijah Nik Aznan | PigSmart Health Monitoring | |
| Sergey Melnikov | Structural basis of molecular adaptation to extreme cold | |
| Serkan Turkmen | EU Gaters Project | |
| Stephen McGough | NUFEB | |
| Stephen McGough | mitoML: Machine Learning to understand mitochondrial disease pathology | |
| Tom Penfold | Machine Learning for X-ray Spectroscopy |