If you are interested in working with me, either as a PhD student or a Research Associate (post-doctoral) take a look at my page on opportunities for new researchers.
Current doctoral research students
- Jun Wang — working on control-based continuation for experimentally investigating the nonlinear dynamics of a Hawk aircraft model (started September 2024, co-supervised with Mark Lowenberg).
- Wenhao He — working on multi-modal deep reinforcement learning for tactile robotics and funded by a CSC scholarship (started September 2024, co-supervised with Nathan Lepora).
- Jonny Raines — working on an AI-based generative design assistant for engineers can make use of standard components as well as free-form design and funded by the Interactive AI centre for doctoral training (started October 2023, co-supervised with Ben Hicks).
- Andrew Shannon — working on scientific machine learning in neural dynamics and funded by the Interactive AI centre for doctoral training (started October 2022, co-supervised with Conor Houghton and Martin Homer).
- Max Yang — working on reinforcement learning for tactile robotics and funded by an EPSRC DTP award (started November 2021, co-supervised with Nathan Lepora).
- Roussel Desmond Nzoyem Ngueguin — working on scientific machine learning for control of fluid flows and funded by the Interactive AI centre for doctoral training (started October 2021, co-supervised with Tom Deakin).
- Kesheng Wang — working on optimal design of modular multi-level power converters (started October 2021, co-supervised with Ian Laird).