Biometrics and Machine Learning Group
Latest news
February 2025: conference proceedings - Rasel Ahmed Bhuiyan, Mateusz Trokielewicz, Piotr Maciejewicz, Sherri Bucher, Adam Czajka. "Iris Recognition for Infants" Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Workshops, February 2025, pp. 83-92.
December 2024: journal papers - Mateusz Trokielewicz, Piotr Maciejewicz, Adam Czajka. "Post-mortem iris biometrics – Field, applications and methods." Forensic Science International, Volume 365, 2024, Article 112293. ISSN 0379-0738. https://doi.org/10.1016/j .forsciint.2024.112293.
April 2024: journal papers - Adrian Kordas, Ewelina Bartuzi-Trokielewicz, Michał Ołowski, Mateusz Trokielewicz, "Synthetic Iris Images: A Comparative Analysis between Cartesian and Polar Representation" 2024, Sensors, 24(7), 2269, https://doi.org/10.3390/ s24072269
We are pleased to announce that Weronika Gutfeter defended her doctoral dissertation on face recognition based on multi-shot images using deep aggregation networks, supervised by prof. Andrzej Pacut, on the 18th of May, 2023.
Katarzyna Roszczewska
Ph.D. Student
Biometrics and Machine Learning Group
Faculty of Electronics and Information Technology Warsaw University of Technology ul. Nowowiejska 15/19, 00-665 Warsaw, Poland room: 558 |
Teaching:
Biometrics (BIT - Biometryczna Identyfikacja Tożsamości, lab classes)
Bio:
A graduate of the Warsaw University of Technology. She obtained an engineering degree in Biomedical Engineering at the Faculty of Mechatronics, and a master's degree in Biomedical Engineering at the Faculty of Electronics and Information Technology. Since 2023, she has been a PhD student at the Department of Biometrics at the Institute of Automation and Applied Informatics of the Warsaw University of Technology. In the years 2016-2019, she was an employee of the Biometrics Department of the Research and Academic Computer Network. Currently, works as a Biometric Scientist at PayEye. Her research interests include convolutional neural networks, facial and iris biometrics, and the use of biometrics on mobile devices. In her doctoral thesis, she focuses on the problem of demographic bias in presentation attack detection algorithms.