KOSTAS PAPAFITSOROS
Welcome to my personal webpage!
I am a Lecturer in Mathematical Data Science at the School of Mathematical Sciences, Queen Mary University of London.
My research lies in the areas of Mathematical Imaging, Inverse Problems, Variational Regularisation Methods, Optimisation and Deep Learning. I have a second research direction which is the result of my long-term involvement in environmental conservation with special focus on sea turtles, see the corresponding section of this website.
You can contact me at: k (dot) papafitsoros (at) qmul (dot) ac (dot) uk
News
- Looking forward to the next edition of SSVM 2025, to be held at Dartington Hall (Devon, UK) on 18-22 May 2025. The deadline for paper submission is 10 December 2024. This is co-organised with Tatiana Bubba, Silvia Gazzola, R. Gaburro, Marcelo Pereyra and Carola Schönlieb.
- 12/2024: Very excited to receive a QMUL Centre for Public Engagement Large Grant for the project "The wildlife photo-ID game: Can you do better than AI?".
- 11/2024: New published review paper Data-driven methods for quantitative imaging at GAMM-Mitteilungen (with Guozhi Dong, Moritz Flaschel, Michael Hintermüller, Clemens Sirotenko and Karsten Tabelow).
- 11/2024: New published book chapter Machine learning for quantitative magnetic resonance image reconstruction, (with Andreas Kofler and Felix Zimmermann) as part of the book Quantification of Biophysical Parameters in Medical Imaging.
- 09/2024: New preprint Exploiting facial side similarities to improve AI-driven sea turtle photo-identification systems (with Lukas Adam, Claire Jean and ALan Rees).
- 09/2024: New preprint Nested Bregman iterations for decomposition problems (with Tobias Wolf, Derek Driggs, Elena Resmerita and Carola Schönlieb).
- 06/2024: New preprint WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animals (with Lukáš Adam, Vojtěch Čermák and Lukas Picek).
- 06/2024: I gave an online talk at the French-German-Spanish Conference on Optimization 2024 at the minisymposium "Optimization methods for inverse problems and beyond".
- 05/2024: I was at the SIAM Conference on Imaging Sciences, Atlanta, US, where I coorganised a minisymposium on Deep Unrolled Optimisation Methods for Inverse Imaging Problems with Evangelos Papoutsellis and Andreas Kofler.
- 05/2024: I gave a talk at the workshop on Big Data Inverse Problems, ICMS Edinburgh.
- 05/2024: Welcome to Thanos Polychronou who is starting his PhD with me.
- 04/2024: Excited to receive two grants to support and enhance the Zakynthos Turtles project during the 2024 season: A QMUL Centre for Public Engagement Small Grant as well as a Conservation Grant from the British Chelonia Group.
- 04/2024: New preprint Data-driven Methods of Quantitative Imaging (with Guozhi Dong, Moritz Flaschel, Michael Hintermüller, Clemens Sirotenko and Karsten Tabelow).
- 03/2024: New accepted paper A descent algorithm for the optimal control of ReLU neural network informed PDEs based on approximate directional derivatives (with Guozhi Dong and Michael Hintermüller) at the SIAM Journal on Optimization.
- 03/2024: New preprint Machine Learning for Quantitative MR Image Reconstruction (with Andreas Kofler and Felix Zimmermann).
- 01/2024: Two published papers at the Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (both with Lukáš Adam, Vojtěch Čermák and Lukas Picek):
- WildlifeDatasets: An Open-Source Toolkit for Animal Re-Identification (best paper award!)
- SeaTurtleID2022: A Long-Span Dataset for Reliable Sea Turtle Re-Identification.
