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
- 08/2026: New preprint Automated wildlife re-identification by merging information from multiple body parts: A case study in sea turtles. Together with Lukáš Adam, Micol Montagna, Valeria Roma, and Agnese Mancini.
- 08/2026: New preprint (review) Learning spatially varying regularisation parameters of low regularity for image reconstruction. Together with Luca Calatroni and Andreas Kofler.
- 08/2026: Our work with sea turtles and AI-driven photo-identification at the Sharja Marine Science Research Centre, University of Khorfakkan, UAE was featured in QUEST magazine.
- 08/2026: Our paper Split, Skip and Play: Variance-reduced ProxSkip for tomography reconstruction is extremely fast, with Evangelos Papoutsellis and Zeljko Kereta, was chosen as a spotlight oral presentation at the 2026 IEEE International Conference on Image Processing.
- 08/2026: I am coorganising the conference Mathematics and Image Analysis, MIA 2027, Berlin, February 2027, whose website is now live.
- 08/2026: New accepted conference paper Degradation-based augmented training for robust individual animal re-identification, to the CV4E workshop of ECCV 2026. This is Thanos Polychronou's first paper out of his PhD, also together with Lukáš Adam and Viktor Penchev.
- 07/2026: We launched the interactive educational platform "From Pixels to Populations".
- 06/2026: I was nominated for the Queen Mary University of London, Research & Innovation Awards 2026, in the category of Impact: Culture, Civic, Community and Policy.
- 05/2026: I gave a talk at the workshop Mathematical Methods in MRI-SFB MR-DYNAMO as well as a seminar talk at the University of Graz.
- 04/2026: New preprint (perspective) Centering ecological goals in automated identification of individual animals.
- 03/2026: New published conference paper LifeCLEF 2026 Teaser: AI Challenges for Biodiversity Understanding and Ecosystem Management, at Advances in Information Retrieval, ECIR 2026, Lecture Notes in Computer Science.
- 03/2026: Short article at the at the 2026 SWOT report on "FAQs about sea turtles: Do sea turtles communicate?", with Damien Chevalier.
- 03/2026: We wrote a short communication article for the Divers for the Environment magazine by the Emirates Diving Association, featuring our work with sea turtles and AI-driven photo-identification at the Sharja Marine Science Research Centre, University of Khorfakkan. Together with Lukáš Adam, Jon Martin, Brendan Godley, Stephen Widdicombe, Henrik Stahl.
- 03/2026: New preprint Degradation-based augmented training for robust individual animal re-identification, with Thanos Polychronou, Lukáš Adam, Viktor Penchev.
- 02/2026: New preprint Learning spatially adaptive sparsity level maps for arbitrary convolutional dictionaries, with Joshua Schulz, David Schote, Christoph Kolbitsch and Andreas Kofler. The paper has been accepted at the Proceedings of the 2026 IEEE International Conference on Image Processing.
- 02/2026: New preprint Split, Skip and Play: Variance-reduced ProxSkip for tomography reconstruction is extremely fast, with Evangelos Papoutsellis and Zeljko Kereta. The paper has been accepted at the Proceedings of the 2026 IEEE International Conference on Image Processing.
- 01/2026: Together with TurtleWatch Egypt 2.0, we launched the second version of the TurtleTurtle wildlife photo-ID game: TurtleTurtle Red Sea! You can learn more about these games at this recent article of QMUL's Centre for Public Engagement.
- 12/2025: I was happy to receive a 2025 Impact Research Award from the Faculty of Science and Engineering, Queen Mary University of London.
News Archive
