Michał Czubenko

Dr. hab. inż. Michał Czubenko serves as an Associate Professor at the Department of Decision Systems and Robotics within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. His academic home is in Building A of the Faculty, room 638. Czubenko's research bridges theoretical computer science with practical applications in robotics and decision systems.

His educational background includes a doctoral degree (dr inż.) in Automatic Control and Robotics obtained in 2017 and a post-doctoral degree (dr hab. inż.) in Information and Communication Technology achieved in January 2025, both from the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology.

Czubenko's research spans a remarkably interdisciplinary space where artificial intelligence meets human cognition. His work integrates computational models with psychological theories to create more human-like decision systems. The researcher has developed expertise in affective computing, focusing on how machines can recognize, interpret, and simulate human emotions. His publications reveal a consistent thread connecting fuzzy logic systems with cognitive architectures, demonstrating how biological inspiration can enhance robotic decision-making capabilities. Particularly notable is his work on artificial emotion modeling, which has implications for human-robot interaction and autonomous systems that require social intelligence.

Analysis of Czubenko's publication record shows a clear trajectory from foundational work in intelligent decision-making systems toward increasingly sophisticated applications in robotics and human-machine interaction. His recent work demonstrates growing interest in practical implementations of AI, including object manipulation in robotics and domain adaptation techniques for medical diagnostics. The researcher has also begun exploring the educational implications of large language models, as evidenced by his 2023 publication evaluating ChatGPT for quantum physics learning.

While specific awards aren't detailed in the available information, Czubenko's substantial publication record across prestigious venues including Frontiers in Robotics and AI, Cognitive Computation, and Engineering Applications of Artificial Intelligence indicates recognition within his field. His work on computational approaches to artificial emotion has been particularly influential, providing a comprehensive review of existing solutions in this emerging domain.

Czubenko's research demonstrates strong collaborative tendencies, frequently working with colleagues like Z. Kowalczuk across multiple publications spanning more than a decade. His work on the xDriver system and intelligent decision-making frameworks suggests involvement in practical implementations of theoretical concepts, likely within laboratory settings focused on robotics and autonomous systems. The researcher's recent publications indicate ongoing active engagement with cutting-edge topics including domain adaptation techniques and the application of large language models in specialized domains.