Cohort 3 Mini Projects
- Bayesian optimisation algorithms (NAG)
- Behaviour of bifurcating systems with parameter distribution (AstraZeneca)
- Blade path optimisation in steam turbine design (Siemens)
- Herding Top percentiles (Vodafone)
- Degradation of Lithium-ion Batteries (Siemens)
- Development of multi-GPU algorithms for HPC (NVIDIA)
- Effect of transient disturbances in glass shaping processes (Schott AG)
- Effective thermal conductivity in bulk materials at high temperatures (Teknova)
- Homogenisation approaches for non-static microscale structures (USACE)
- Integrated information for organisational consciousness (BT)
- Mathematical formulation of the coarse predictor for the parareal algorithm in fusion plasma divertor simulations (Culham Centre for Fusion Energy)
- Mathematical Modelling of dissolving alumina lumps (Norsk Hydro)
- Modelling Microsilica particle formation and growth (Elkem)
- Modelling paste flow and segregation in high performance Søderberg electrodes (Elkem)
- Modelling the extraction of sulphur dioxide from natural gas (Gore)
- More Accurate Optical Measurements of the Cornea (Lein Applied Diagnostics)
- Oxygen profile in the ‘CXP1’ organoid expansion bioreactor (Cellesce)
- Parametric models for motion correction in Medical Imaging (Adaptix Imaging)
- Reflections from curved reflective buildings (Arup)
- Robust vehicle routing (Tesco)
- Swarm robotics in bearing only formations (Leonardo)
- Techniques for initialising simple data assimilation calculations for plasma models (Culham Centre for Fusion Energy)
- Ternary phase diagrams for water/brine/surfactant mixtures (Schlumberger)
- Weighted matrix completion for bioactivity prediction (e-Therapeutics)