Prof. Szymon Łukasik

Research interests: artificial intelligence, multi-modal set analysis
Szymon Łukasik conducts research in the fields of structure adaptation and self-learning of deep neural networks, as well as video and text analysis in engineering and sports. His research interests include nature-inspired computing, in particular metaheuristics and its applications, as well as the analysis of multi-modal sets, combining text, graphics, sound, and numerical data.
Selected Publications
Articles
Aleksandra Krasnodębska, Karolina Seweryn, Szymon Łukasik, Wojciech Kusa, "PL-Guard: Benchmarking Language Model Safety for Polish", Proceedings of the 10th Workshop on Slavic Natural Language Processing, Slavic NLP, 2025, 25–37.
Karolina Seweryn, Gabriel Chęć, Szymon Łukasik, Anna Wróblewska, "Improving Object Detection Quality in Football Through Super-Resolution Techniques", Computational Science – ICCS 2025, Proceedings, Part I, 2025, 151-163.