Prof Zdzislaw Kowalczuk | Artificial Intelligence Award | Best Researcher Award

Prof Zdzislaw Kowalczuk , Gdansk University of Technology , Poland

Zdzisław Kowalczuk, Senior Member of IEEE, has been a Full Professor in automatic control and robotics at Gdańsk University of Technology since 1978. He has held visiting positions at University of Oulu, Australian National University, Technische Hochschule Darmstadt, and George Mason University. His research interests include robotics, control theory, AI, and system diagnostics. Kowalczuk has authored 30 books, over 120 journal papers, and 350+ conference publications, with over 3,300 Google Scholar citations and an H-index of 21. He is President of the Polish Consultants Society and founder of PWNT publishing house, receiving numerous awards, including the SEP Medal in 2014. 🎓📚🏅

Publication profile

Google scholar

Academic Background 🎓

Zdzisław Kowalczuk (Senior Member, IEEE) has been with the Faculty of Electronics, Telecomm., and Informatics at Gdańsk University of Technology since 1978. He is a Full Professor in automatic control and robotics and the Chair of the Dept. of Robotics and Decision Systems. He has held visiting appointments at universities including Oulu, Australian National University, Technische Hochschule Darmstadt, and George Mason University.

Scientific Contributions

His main scientific interests include robotics, control theory, system modeling, diagnostics, artificial intelligence, and control engineering. Kowalczuk has authored/co-authored about 30 books, over 120 journal papers, and over 350 conference publications. His Google Scholar citation index exceeds 3,300, with an H-index of 21.

Research Focus

Zdzisław Kowalczuk’s research focuses on several key areas within engineering and computer science. His primary interests include fault diagnosis and detection, particularly for automotive engines, and the development of intelligent systems for autonomous decision-making. He also explores system modeling and control theory, including the application of artificial intelligence and neural networks. Kowalczuk’s work extends to robotics, adaptive systems, and signal processing, with a notable focus on practical applications like leak detection in pipelines and thermal management in buildings. His contributions span theoretical foundations to real-world implementations, demonstrating a versatile and impactful research portfolio. 🚗🤖📊🔧

Publication Top Notes

Fault diagnicial intelligence, applications – J Korbicz, JM Koscielny, Z Kowalczuk, W Cholewa, Springer Science & Business Media, 2012, cited by 1064 📚osis: models, artif

Diagnostyka procesów: modele: metody sztucznej inteligencji: zastosowania – J Korbicz, JM Kościelny, Z Kowalczuk, W Cholewa, Wydawnictwa Naukowo-Techniczne, 2002, cited by 345 📘

Model based diagnosis for automotive engines-algorithm development and testing on a production vehicle – J Gerler, M Costin, X Fang, Z Kowalczuk, M Kunwer, R Monajemy, IEEE Transactions on Control Systems Technology, 1995, cited by 148 🚗

Thermal Barrier as a technique of indirect heating and cooling for residential buildings – M Krzaczek, Z Kowalczuk, Energy and Buildings, 2011, cited by 107 🏠

Model-based on-board fault detection and diagnosis for automotive engines – JJ Gertler, M Costin, X Fang, R Hira, Z Kowalczuk, Q Luo, Control Engineering Practice, 1993, cited by 100 🚗

Autonomous driver based on an intelligent system of decision-making – M Czubenko, Z Kowalczuk, A Ordys, Cognitive computation, 2015, cited by 98 🚘

Discrete approximation of continuous-time systems: a survey – Z Kowalczuk, IEE Proceedings G (Circuits, Devices and Systems), 1993, cited by 84 📈

Computational approaches to modeling artificial emotion–an overview of the proposed solutions – Z Kowalczuk, M Czubenko, Frontiers in Robotics and AI, 2016, cited by 75 🤖

Continuous-time approaches to identification of continuous-time systems – Z Kowalczuk, J Kozłowski, Automatica, 2000, cited by 49 ⏱️

Intelligent decision-making system for autonomous robots – Z Kowalczuk, M Czubenko, Uniwersytet Zielonogórski, 2011, cited by 38 🤖

Detecting and locating leaks in transmission pipelines – Z Kowalczuk, K Gunawickrama, Fault Diagnosis: Models, Artificial Intelligence, Applications, 2004, cited by 36 🛠️📈