Dr. Ewelina Bartuzi-Trokielewicz awarded a LIDER grant
The project entitled “Detection and analysis of online fraud promoted on social media platforms” headed by Dr. Ewelina Bartuzi-Trokielewicz has received funding from the National Centre for Research and Development in the 15th edition of the LIDER Program. Organized continuously since 2009, the Program supports young scientists in building their own research teams.
41 projects were granted funds in the LIDER XV competition. Only 3 of them, including Dr. Bartuzi-Trokielewicz’s project, received the full possible funding – PLN 1,800,000. The condition for participation in the competition was the status of a doctoral student or a doctoral degree obtained a maximum of 7 years from the start of the call. The Leaders are expected to develop their competence in research and development, as well as management of scientific teams, while their projects may have practical application and implementation potential.
The project will focus on analyzing social media data, identifying patterns and building solutions to help automatically detect and analyze deepfakes before they reach a larger audience.
“This is a tremendous opportunity for me to pursue a project that combines my scientific interests with a real impact on online security. We are working on technology for detecting deepfakes and their accompanying manipulation techniques, which are often used in false advertising mainly in financial scams.” – says Dr. Ewelina Bartuzi-Trokielewicz, who heads NASK’s Department of Audiovisual Analysis and Biometric Systems.
Dr. Bartuzi-Trokielewicz, a graduate of Warsaw University of Technology, specializes in biometrics and machine learning. She has been working at NASK in the Department of Biometrics since 2016, and has headed the Department of Audiovisual Analysis and Biometric Systems since 2024. Ewelina conducts scientific work on identity recognition methods with a special focus on iris, face, and palm 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.