Project groups

Overview

  • Project 1 Exploring Quantum Machine Learning through Kernel Methods
  • Project 2 A Modified Pipeline for Face Recognition
  • Project 8 Finite Element Approximation of the Kuramoto–Sivashinsky Equation
  • Project 9 Shock formation study using the compressible Euler equations
  • Project 10 Multi-objective Linear Programming for Radiotherapy
  • Project 13 Deep Learning for Image Analysis of 3D Microtumor Cultures
  • Project 16 Is quantity a quality of its own? -- Optimising test milkings for precision dairy farming
  • Project 17a Efficient deterministic pricing of basket options on many underlying assets
  • Project 17b Efficient deterministic pricing of basket options on many underlying assets
  • Project 18 Uncertainty Quantification from Frozen Embeddings
  • Project 21 Analysing data from the Internet Microscope: Classification of home network traces
  • Project 22 Deep Learning Based Focus Interpolation for Microscopy
  • Project 30 Inventory Optimisation in Vending Machines
  • Project 33 Using Image Analysis to Determine the Product Map of Vending Machines
  • Project 34 Unsupervised learning for untargeted spatial analysis of mass spectrometry imaging
  • Project 35 Mixed-Integer Programming Model for Optimal Hardware Activation Code Recommendation

Project 1 Exploring Quantum Machine Learning through Kernel Methods

 Project 2 A Modified Pipeline for Face Recognition

Project 8 Finite Element Approximation of the Kuramoto–Sivashinsky Equation

Project 9 Shock formation study using the compressible Euler equations

Project 10 Multi-objective Linear Programming for Radiotherapy

Project 13 Deep Learning for Image Analysis of 3D Microtumor Cultures: Applying CNNs and Data Augmentation to Study Anti-Tumor Treatment Responses in Microwell Platforms

Project 16 Is quantity a quality of its own? -- Optimising test milkings for precision dairy farming

Project 17a Efficient deterministic pricing of basket options on many underlying assets

Project 17b Efficient deterministic pricing of basket options on many underlying assets

Project 18 Uncertainty Quantification from Frozen Embeddings

Project 21 Analysing data from the Internet Microscope: Classification of home network traces

Project 22 Deep Learning Based Focus Interpolation for Microscopy

Project 30 Inventory Optimisation in Vending Machines

Project 33 Using Image Analysis to Determine the Product Map of Vending Machines

Project 34 Unsupervised learning for untargeted spatial analysis of mass spectrometry imaging

Project 35 Mixed-Integer Programming Model for Optimal Hardware Activation Code Recommendation