Dr Ewelina Bartuzi-Trokielewicz

Research interests: biometrics, image processing, DeepFake

Expert in biometrics and machine learning, she has a PhD in technical sciences, graduated from Warsaw University of Technology. Since 2016 she has been working at NASK in the Department of Biometrics, which she currently heads. Ewelina conducts scientific work on identity recognition methods with a focus on iris, face and hand line biometrics, as well as on detection of presentation attacks. In addition, she works on computer vision methods, deepfake detection, anomalies in images, object detection and tracking. Her research interests broadly include computer vision and image processing – feature extraction, object detection, object segmentation, image classification. She is the author of more than a dozen scientific articles in national and international publications.

Selected Publications

Articles

Ewelina Bartuzi, Mateusz Trokielewicz, "Multispectral hand features for secure biometric authentication systems. Concurrency and Computation", Concurrency and Computation: Practice and Experience, 33(18), 2021, 6471.
Adrian Kordas, Ewelina Bartuzi-Trokielewicz, Michał Ołowski, Mateusz Trokielewicz, "Synthetic Iris Images: A Comparative Analysis between Cartesian and Polar Representation", Sensors, 24(7), 2024, 2269.