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 Bernadette Bouchon-Meunie – Vladik Kreinovich – Marek Reformat

Bernadette Bouchon-Meunier is a director of research emeritus at the National Centre for Scientific Research and Sorbonne Université, the former head of the department of Databases and Machine Learning in the Computer Science Laboratory of the University Pierre et Marie Curie-Paris 6 (LIP6). She is the Editor-in-Chief of the International Journal of Uncertainty, Fuzziness and Knowledge-based Systems and the Co-executive director of the IPMU International Conference held every other year since 1986. B. Bouchon-Meunier is the (co)-editor of 32 books, and the (co)-author of five. She has (co)-authored more than 400 papers on approximate and similarity-based reasoning, as well as the application of fuzzy logic and machine learning techniques to decision-making, data mining, risk forecasting, information retrieval, user modelling, sensorial and emotional information processing.
She was the President of the IEEE Computational Intelligence Society in 2020-2021. She is an IEEE Life Fellow, an International Fuzzy Systems Association Fellow and an Honorary Member of the EUSFLAT Society. She received the 2012 IEEE Computational Intelligence Society Meritorious Service Award, the 2017 EUSFLAT Scientific Excellence Award, the 2018 IEEE CIS Fuzzy Systems Pioneer Award, the 2019 Outstanding Volunteer Award of the IEEE France Section and the 2024 IEEE Frank Rosenblatt Award.

Vladik Kreinovich received his MS in Mathematics and Computer Science from St. Petersburg University, Russia, in 1974, and PhD from the Institute of Mathematics, Soviet Academy of Sciences, Novosibirsk, in 1979. From 1975 to 1980, he worked with the Soviet Academy of Sciences; during this time, he worked with the Special Astrophysical Observatory (focusing on the representation and processing of uncertainty in radioastronomy). For most of the 1980s, he worked on error estimation and intelligent information processing for the National Institute for Electrical Measuring Instruments, Russia. In 1989, he was a visiting scholar at Stanford University. Since 1990, he has worked in the Department of Computer Science at the University of Texas at El Paso. In addition, he has served as an invited professor in Paris (University of Paris VI), France; Hannover, Germany; Hong Kong; St. Petersburg and Kazan, Russia; and Brazil.
His main interests are the representation and processing of uncertainty, especially interval computations and intelligent control. He has published 14 books, 48 edited books, and more than 2,100 peer refereed papers, see https://www.cs.utep.edu/vladik/longvita.html. Vladik is a member of the editorial board of the international journal «Reliable Computing» (formerly «Interval Computations») and several other journals. In addition, he is the co-maintainer of the international Web site on interval computations https://www.reliable-computing.org/.
Vladik is President-Elect of the International Fuzzy Systems Association (IFSA), Secretary of the IEEE Systems, Man, and Cybernetics Society, Fellow of International Fuzzy Systems Association (IFSA), Fellow of Mexican Society for Artificial Intelligence (SMIA), Fellow of the Russian Association for Fuzzy Systems and Soft Computing; he served as Vice President for Publications of IEEE Systems, Man, and Cybernetics Society 2015-18, and as President of the North American Fuzzy Information Processing Society 2012-14; is a foreign member of the Russian Academy of Metrological Sciences; was the recipient of the 2003 El Paso Energy Foundation Faculty Achievement Award for Research awarded by the University of Texas at El Paso; and was a co-recipient of the 2005 Star Award from the University of Texas System.

Marek Reformat received his M.Sc. degree (with honors) from Technical University of Poznan, Poland, and Ph.D. from University of Manitoba, Canada. He is a Full Professor and Associate Chair of the Department of Electrical and Computer Engineering, University of Alberta.His research activities focus on development of methods and techniques for intelligent data modeling and analysis leading to translation of data into knowledge. He uses the concepts of Computational Intelligence – with fuzzy computing and possibility theory in particular – as key elements necessary for capturing relationships between pieces of data and knowledge, and for introducing human aspects to data analysis and decision-making processes resulting in more human-aware and human-like systems. He has published over 100 peer-reviewed publications in the areas of computational intelligence, knowledge and software engineering. He is an Associate Editor of a number of international journals. He is a past president of the North American Fuzzy Information Processing Society (NAFIPS), and a president of the International Fuzzy Systems Association (IFSA).