Tatiana A. Bubba
I am a Lecturer (Assistant Professor) in Applied Mathematics at the Department of Mathematical Sciences of the University of Bath (UK).
I am also a Docent in Inverse Problems at the Department of Mathematics and Statistics of the University of Helsinki (Finland).
My research focuses on computational inverse problems with applications to medical imaging and spent nuclear fuels imaging. More about my work:
Brief CV Publications Talks Teaching Team Projects Awards
You can contact me at: tab73 (at) bath (dot) ac (dot) uk
What's new
04/2023: Looking forward to our INdAM workshop on Learning for Inverse Problems from 5th to 9th June 2023. This is co-organised with G. Alberti, A. Aspri, M. Santacesaria & L. Ratti.
03/2023: New funding secured! Royal Society International Exchanges grant on Sparsity promoting algorithms for statistical inverse learning problems (SPA4SIL). Matteo Santacesaria from MaLGa & University of Genoa is the co-PI.
03/2023: Our paper Convex regularization in statistical inverse learning problems has been accepted for publication in Inverse Problems and Imaging. This is a joint work with M. Burger, T. Helin and L. Ratti.
03/2023: Our paper Efficient representation of spatio-temporal data using cylindrical shearlets has been accepted for publication in Journal of Computational and Applied Mathematics. This is a joint work with G. Easley, T. Heikkilä, D. Labate and J.P. Rodriguez-Ayllon.
03/2023: New preprint out: Trust your source: quantifying source condition elements for variational regularisation methods. This is a joint work with M. Benning, L. Ratti and D. Riccio.
02/2023: New preprint out: Bilevel learning of regularization models and their discretization for image deblurring and super-resolution. This is a joint work started during the INdAM workshop on Advanced Techniques in Optimisation for Machine Learning and Imaging (ATOMI) last June.
11/2022: I am recruiting a PhD student working on inverse problems and deep learning! Deadline for applications 22 January 2023; starting date October 2023. Deatiled information available here.
09/2022: I will be teaching at the Hausdorff School on Data-driven Inverse Problems in Biomedical Imaging, April 11 - 14, 2023, in Bonn, Germany. If you are interested in taking part, the deadline for applications is January 1, 2023.
09/2022: Very excited about our BIRS workshop on Leveraging Model and Data-Driven Methods in Medical Imaging, happening from 25th to 30th June 2023. This is organised together with D. Labate.
08/2022: Our book chapter Gamma ray emission imaging in the medical and nuclear safeguards fields is finally out! This is a joint work with Peter Dendooven (Helsinki Insitute of Physics & University Medical Center Groningen).
08/2022: Our paper Improved Passive Gamma Emission Tomography image quality in the central region of spent nuclear fuel has been accepted in Scientific Reports. This is a joint work with R. Virta, M. Moring, S. Siltanen, T. Honkamaa and P. Dendooven.
06/2022: Looking forward to our INdAM workshop on Advanced Techniques in Optimisation for Machine Learning and Imaging (ATOMI) from 20th to 24th June. You can register here to follow the talks online.
04/ 2022: Our paper Shearlet-based regularization in statistical inverse learning with an application to X-ray tomography has been accepted in Inverse Problems. This is a joint work with Luca Ratti (UniGe & MaLGa).
01/2022: Very excited to start my new position as a Lecturer (Assistant Professor) in Applied Mathematics at the University of Bath.