Marcin Paprzycki

Papers

Total Citations

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About

Marcin Paprzycki is a leading figure in artificial intelligence and computational intelligence, with a focus on bio-inspired optimization, fuzzy systems, and natural language processing. His key research areas include swarm intelligence, fuzzy logic, and intelligent automation. Paprzycki’s major contributions include pioneering hybrid algorithms that merge bee colony optimization with Ordered Fuzzy Numbers, exemplified by the OFNBee method—a novel approach that enhances optimization through fuzzy observance. This work, developed at the Artificial Intelligence and Robotics Laboratory (AIRlab) at Kazimierz Wielki University, builds on his earlier OFNAnt method, demonstrating sustained innovation in fuzzy-based swarm intelligence. Additionally, he has advanced Named Entity Recognition (NER) for the Polish language, designing a feature extractor for a Robotic Process Automation system with self-learning capabilities, as seen in his 2022 paper. While his most-cited paper (13 citations) reflects foundational work in fuzzy optimization, his broader impact spans over a decade of research, with contributions that bridge theoretical fuzzy logic and practical automation. Paprzycki’s achievements include leading AIRlab’s cutting-edge projects, positioning him as a key contributor to intelligent systems and language technology.