Joanna Gajewska
Research interests: artificial intelligence, computer vision, DeepFake
Joanna began her professional career in physics and transitioned into programming before focusing on the intriguing field of artificial intelligence. She holds a degree in Applied Physics from the Warsaw University of Technology. Currently, she conducts research in the Image Processing Department, specializing in computer vision. Additionally, Joanna is pursuing her doctoral studies at the TIB PAN Doctoral School, where her research focuses on the detection of DeepFake materials across various modalities such as audio, images, and video. As part of her scholarly contributions, she co-leads seminars for the NASK PIB Research and Development Center.
Selected Publications
Articles
Joanna Gajewska, Alicja Martinek, Michał J. Ołowski, Ewelina Bartuzi-Trokielewicz, "Voice synthesis in Polish and English - analyzing prediction differences in speaker verification systems", Proceedings of the 31st International Conference on Computational Linguistics, , 2025, 9618–9629.
Weronika Gutfeter, Joanna Gajewska, Andrzej Pacut, "Detecting Sexually Explicit Content in the Context of the Child Sexual Abuse Materials (CSAM): End-to-End Classifiers and Region-Based Networks", International Workshops of ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Revised Selected Papers, Part II, ECML PKDD 2023, 2025, 154-168.