Cohort 5 Mini Projects
- Dynamic flapping in a moving fluid (Animal Dynamics)
- Classification of chaotic time series with deep learning (CCFE)
- Parameter Estimation in Agent-Based Models (Improbable)
- Oxygen concentration in the CXP1 bioreactor (Cellesce)
- Uncertainty quantification for deep neural networks (NPL)
- Comparing solvers for large sparse linear systems
- Optimisation methods for machine learning applications (NAG)
- Clogging Mechanisms in Silicon Tapping (Elkem)
- Demand Transfer and Halo Effect on a Small Range of Products (Tesco)
- Stability of the Danner Process (Schott)
- Bargaining Under Uncertainty (BP)
- Understanding the Effect of Usage Behaviour on Learning Rates (Whizz Education)
- Numerical simulations of cortical spreading depression (Simula)
- Household Heating Behaviours and Risks for Designing Heating Plans (Catapult Energy Systems)
- Modelling and design of filtration membranes (Smart Separations)
- Scaling and extrapolation
- Scheduling optimisation for electric vehicle systems in London (Siemens)
- Network constraints and renewables impact on power price equilibrium (Macquarie Bank)
- Network Homogenisation for Oil Flows (BP)
- Inter-District Packaged Gas Optimisation (Air Products)
- A size-structured model for filter clogging (Gore)
- Traversing the Curriculum: Optimal Pathways for Learning (Whizz Education)