Efficient logic gate networks for video copy detection
Springer Nature Singapore
2026
Profile
Katarzyna Fojcik
PhD Student
Katarzyna received her M.Sc. degrees in Biomedical Engineering (2020) and Big Data Analytics (2021) from Wroclaw University of Science and Technology (WUST), where she is currently pursuing a Ph.D. in Artificial Intelligence. She also works at Intel as an AI Software Solutions Engineer, focusing on optimizing AI solutions and enabling efficient deployment of machine learning workloads on Intel hardware. Her research interests focus on efficient and hardware-aware AI, including lightweight machine learning models, image and video processing, video copy detection, and logic-based neural networks.
Research interests
- efficient and lightweight models
- image processing
- video processing
- video copy detection
- logic gate networks
- model optimization
Research groups
Education
- 2019
B.Sc. in Biomedical Engineering, specialization in Medical Informatics
Wrocław University of Science and Technology
- 2020
M.Sc. in Biomedical Engineering, specialization in Medical Informatics
Wrocław University of Science and Technology
- 2021
M.Sc in Big Data Analytics
Wrocław University of Science and Technology
Publications5
Virtual reality based simulators for neurosurgeons - what we have and what we hope to have in the nearest future
Michał K Adamski, Klaudia E Kozłowska, Mirosław Łątka, Katarzyna Fojcik, Dariusz Łątka, Marek Waligora, Kajetan Łątka, Grzegorz Miękisiak, Dariusz Man, Ryszard Olchawa
Springer
2018