MRes projects
The range of AI projects that Imperial College and the programme can offer is vast and varied, offering opportunities to work at the leading edge in many areas of AI and across domains, as well as numerous leading edge projects applying AI in domains such as health, business and finance, communications, and energy / product supply systems.
| MRes student | Project title | Project supervisor(s) |
|---|---|---|
| Hewlett, Jonathan | Single Breath-Hold Diffusion Tensor Cardiac MR Using Advanced Generative Adversarial Networks | Dr Yang, Guang; Prof Rueckert, Daniel; Dr Nielles-Vallespin, Sonia; Dr Ferreira, Pedro |
| Hughes-Hallett, Jacob | Solving Optimisation Issues in Deep Gaussian Processes |
Dr van der Wilk, Mark |
| Malik, Anagh | Implicit Neural Representations | Prof Davison, Andrew and Dr Clark, Ronald |
| Onuorah, Chibudom | Weakly Self-supervised Deep Learning for COVID-19 Prognosis |
Dr Yang, Guang and Dr Walsh, Simon |
| Rastrelli, Lapo | An Information-Theoretic view of Batch Normalisation |
Dr Li, Yingzhen |
| Contact: mres-ai-ml.admissions@imperial.ac.uk | ||