Piotr Prokopowicz

Kazimierz Wielki University in Bydgoszcz, University of Bydgoszcz

Papers

Total Citations

157

H-Index

About

Piotr Prokopowicz is a leading researcher at the intersection of artificial intelligence, fuzzy logic, and affective computing. His work primarily focuses on developing computational models for emotion recognition and intelligent systems, with a particular emphasis on fuzzy number theory and its industrial applications. His most impactful contribution is the highly-cited 2019 survey on AI-based multimodal methods for emotion detection (134 citations), which has become a foundational resource for researchers working on automated emotion recognition systems. This work addresses the challenge of enabling computers, robots, and integrated environments to more objectively and quickly recognize human emotional states. Prokopowicz is also recognized for pioneering work on ordered fuzzy numbers (OFN), introduced in his 2005 paper (18 citations), which provides a simplified yet powerful representation of imprecise information for fuzzy control systems. More recently, he has extended these fuzzy-based models to the Industry 4.0 paradigm, developing AI-driven tools for production data analysis that support the digitalization and automation of manufacturing processes. His research bridges theoretical advances in fuzzy mathematics with practical applications in emotion-aware computing and smart manufacturing, making significant contributions to both fields.