Radu-Emil Precup – Qiang Shen – Yiyu Yao – Annamária R. Várkonyi-Kóczy

Radu-Emil Precup is currently with the Politehnica University of Timisoara (UPT), Romania, where he became a Professor in the Department of Automation and Applied Informatics, in 2000, and he is currently a Ph.D. supervisor in automation and systems engineering. Since 2022 he is also a senior researcher (CS I) and the head of the Data Science and Engineering Laboratory of the Center for Fundamental and Advanced Technical Research, Romanian Academy – Timisoara Branch, Romania. From 2016 to 2022, he was an Adjunct Professor within the School of Engineering, Edith Cowan University, Joondalup, WA, Australia. He is currently the director of the Automatic Systems Engineering Research Centre of the UPT. From 1999 to 2009, he held research and teaching positions with the Université de Savoie, Chambéry and Annecy, France, Budapest Tech Polytechnical Institution, Budapest, Hungary, Vienna University of Technology, Vienna, Austria, and Budapest University of Technology and Economics, Budapest, Hungary. He has been an Associate Editor of IEEE Transactions on Fuzzy Systems (2018-2022, Certificate of Commendation in 2022), Information Sciences (Elsevier, 2021-2024), Engineering Applications of Artificial Intelligence (Elsevier, 2021-2024), Applied Soft Computing (Elsevier, 2014-2024), Expert Systems with Applications (Elsevier, 2021-2024), Communications in Transportation Research (Elsevier, 2021-2024), Applied Artificial Intelligence (Taylor & Francis, 2022-2024), and Healthcare Analytics (Elsevier, 2021-2024), is the Editor-in-Chief of Romanian Journal of Information Science and Technology, and is an editorial board member of several prestigious journals including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics (IEEE SMC Best Associate Editor Award in 2025), IEEE Open Journal of the Computer Society, Evolving Systems (Springer Nature Editorial Contribution Award in 2025), Journal of Engineering-JOE (IET and Wiley), and Journal of Intelligent and Connected Vehicles (Tsinghua University Press, China, and IEEE).
Prof. Precup is an IEEE Fellow, in the 2025 class of fellows, “for contributions to fuzzy and data-driven control of servo systems”, a corresponding member of The Romanian Academy, a member of the US National Academy of Artificial Intelligence – NAAI, a Fellow of the Asia-Pacific Artificial Intelligence Association, a Doctor Honoris Causa of the Óbuda University, Budapest, Hungary, and a Doctor Honoris Causa of the Széchenyi István University, Győr, Hungary. He received the Elsevier Scopus Award for Excellence in Global Contribution (2017), was named a 2022 academic data leader by Chief Data Officer (CDO) Magazine, and was listed as one of the top 10 researchers in artificial intelligence and automation (according to IIoT World as of July 2017).

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Qiang Shen received a PhD in Computing and Electrical Engineering from Heriot-Watt University, UK, in 1990, and an Honorary DSc in Computational Intelligence from Aberystwyth University, UK, in 2013. He holds the Established Chair of Computer Science and has served two terms as Pro Vice-Chancellor at Aberystwyth University. He is a Fellow of the Royal Academy of Engineering and a Fellow and Council Member of the Learned Society of Wales. He is Chair of the Subpanel for Computer Science and Informatics for the UK Research Excellence Framework (REF) 2029 and a member of REF 2029 Main Panel B: Physical Sciences, Engineering and Mathematics. He has chaired and delivered keynotes at numerous international conferences; supervised over 90 postdoctoral researchers and PhD students as primary supervisor; and authored three research monographs and more than 520 peer-reviewed papers, many of which have received Best Paper awards. He was selected to carry the Olympic torch in celebration of Alan Turing’s centenary during the London 2012 Olympic Torch Relay, and he is the 25th recipient of the IEEE Fuzzy Systems Pioneer Award.

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Yiyu Yao is a professor of computer science with the Department of Computer Science, University of Regina, Canada. His research interests include three-way decision, granular computing, Web intelligence, rough sets, fuzzy sets, interval sets, formal concept analysis, information retrieval, machine learning, and data mining. He proposed a theory of three-way decision, a decision-theoretic rough set model, and a triarchic theory of granular computing. He has published over 400 papers. He was selected as a highly cited researcher by Clarivate from 2015 to 2019. He served as the President of International Rough Set Society (2017-2018). He is the President of Web Intelligence Academy. He serves as an associate editor of International Journal of Approximate Reasoning, Information Sciences, Applied Intelligence, and Cognitive Computation, and an editorial board member of others.

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Annamária R. Várkonyi-Kóczy received the M.Sc. degree in electrical engineering, the M.Sc. Degree in mechanical engineer-teacher, and the Ph.D. degree from the Technical University of Budapest, Budapest, in 1981, 1983, and 1996, respectively. She was honored by the “Doctor of Academy” (D.Sc.) title from the Hungarian Academy of Sciences, Budapest, in 2010. In 2017 she received “Dr. Habil.” degree from the Széchenyi University, Győr. She was a Researcher with the Research Institute for Telecommunication, Budapest, for six years, followed by four years with the Group of Engineering Mechanics, Hungarian Academy of Sciences. From 1991 to 2009, she was with the Department of Measurement and Information Systems, Budapest University of Technology and Economics, Budapest. From 2009 to 2025 she was a Full Professor with Óbuda University, Budapest. Since 2009, she has been Full Professor with the John von Neumann University, Kecskemét at the Department of Information Technologies. Since 2013 she is also Full Professor at J. Selye University, Slovakia. She is a founding professor and project leader with the Integrated Intelligent Systems Japanese-Hungarian Laboratory. Her research interests include digital image and signal processing, uncertainty handling, machine intelligence, intelligent computing, big data, and IoT. She is author/co-author of more than 42 books, 83 journal papers, and 270 conference papers. Dr. Várkonyi- Kóczy was Vice-President of the Hungarian Fuzzy Association between 1999 and 2007. She is fellow of IEEE and the Asia-Pacific Artificial Intelligence Association (AAIA), an elected member of the Hungarian Academy of Engineers, a member of the Hungarian Fuzzy Association, the John von Neumann Computer Society and the Measurement and Automation Society, Hungary.

Title: Fuzzy Models in Anytime Systems

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