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
03/2024: Our paper Trust your source: quantifying source condition elements for variational regularisation methods has been accepted for publication in IMA Journal of Applied Mathematics. This is a joint work with M. Benning, L. Ratti and D. Riccio.
03/2024: Very happy to join the Editorial Board of Applied Mathematics for Modern Challenges!
02/2024: Our paper Learning a microlocal prior for limited-angle tomography has been accepted for publication in IMA Journal of Applied Mathematics. This is a joint work with S. Rautio, R. Murthy, M. Lassas and S. Siltanen.
12/2023: I was awarded the title Abilitazione Scientifica Nazionale (01/A5, Analisi Numerica, II Fascia), from the Italian Ministry of Education.
10/2023: I am recruiting a PhD student working on inverse problems and deep learning! Deadline for applications 10 December 2023; starting date October 2024. Deatiled information available here
09/2023: Our paper In-air and in-water performance comparison of Passive Gamma Emission Tomography with activated Co-60 rods has been accepted for publication in Scientific Reports. This is a joint work with R. Virta, M. Moring, S. Siltanen, T. Honkamaa & P. Dendooven.
06/2023: Very happy to serve as a Guest Editor for the Special Issue of Applied Mathematics for Modern Challenges on the "Helsinki Tomography Challenge 2022".
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.
News archive: 2022