Biometrics and Machine Learning Group
Latest news
We are pleased to announce that Mateusz Trokielewicz defended (with honors) his doctoral dissertation entitled „Iris Recognition Methods Resistant to Biological Changes in the Eye” , supervised by prof. Czajka and prof. Pacut, on the 18th of July, 2019.
Iris scanner can distinguish dead eyeballs from living ones: MIT Technology Review reports on our recent developements in the field of presentation attack detection for cadaver irises.
We are pleased to announce that Mateusz Trokielewicz received the EAB European Biometrics Research Award 2016 for research on iris recognition reliability including template aging, influence of eye diseases and post-mortem recognition.
Is That Eyeball Dead or Alive? Adam Czajka discusses the prevention of iris sensors accepting the use of a high-resolution photo of an iris or, in a grislier scenario, an actual eyeball. For full article, please see IEEE Spectrum.
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.