Career
- 2015-2016: Part III, focused on statistics and applied analysis
- 2012-2015: Undergraduate degrees in mathematics and physics
Research
Ferdia is a member of the Department of Applied Mathematics and Theoretical Physics. His current research interests lie at the interface of applied analysis and statistics.
Publications
Convergent regularization in inverse problems and linear plug-and-play
denoisers
(2023)
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning
– IEEE Signal Processing Magazine
(2023)
40,
134
(doi: 10.1109/MSP.2022.3205430)
Equivariant neural networks for inverse problems
– Inverse Probl
(2021)
37,
085006
(doi: 10.1088/1361-6420/ac104f)
Structure-preserving deep learning
– European Journal of Applied Mathematics
(2021)
32,
888
(doi: 10.1017/s0956792521000139)
Learning the Sampling Pattern for MRI.
– IEEE transactions on medical imaging
(2020)
39,
4310
(doi: 10.1109/TMI.2020.3017353)