Cohort 6 Mini Projects
- Labour market impacts of the post-carbon transition in the US: A networks perspective (BEIS)
- Clearance paradigms for network models of prion-like proteopathy development throughout the brain (Simula)
- Transfer Learning as a Technique to Utilise Machine Learning for Predictions of ITER Plasma Behaviour (CCFE)
- Sparse and Low-Rank Regularisation for Robust Deep Nets (NPL)
- Carding of Recycled Carbon Fibres (ELG Carbon Fibre)
- Measuring Octane Number in Fuels (BP)
- Clogging of Charge in Silicon Furnaces (Elkem)
- Modelling of Laser-Induced Cavitation Bubbles for Ureteroscopy
- Optimising of Filter Geometry: Modelling the Contaminant Build-up and Efficiency (Beko)
- Adversarial Model Selection in Risk Management (ATI)
- Machine Learning Based Triage Models for Remote Detection and Care of Influenza (Vironix)
- Optimal Storage Placement in River Systems (Arup)
- Extensions to Robust Vehicle Routing (Tesco)
- Investigating Molecular Graph Convolution in Drug Discovery: Application to SARS-CoV-2 MainProtease Inhibitors (Lhasa)
- Optimisation Challenges in Machine Learning (NAG)
- Beyond the Law of Mass Action in Reactive Cleaning (Gore)