Prof. Witold Pedrycz
IEEE Fellow, Fellow of the Royal Society of Canada
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University of Alberta, Canada
Witold Pedrycz (IEEE Fellow, 1998) is Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. In 2009 Dr. Pedrycz was elected a foreign member of the Polish Academy of Sciences. In 2012 he was elected a Fellow of the Royal Society of Canada. Witold Pedrycz has been a member of numerous program committees of IEEE conferences in the area of fuzzy sets and neurocomputing. In 2007 he received a prestigious Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society. He is a recipient of the IEEE Canada Computer Engineering Medal, a Cajastur Prize for Soft Computing from the European Centre for Soft Computing, a Killam Prize, and a Fuzzy Pioneer Award from the IEEE Computational Intelligence Society. His main research directions involve Computational Intelligence, fuzzy modeling and Granular Computing, knowledge discovery and data mining, fuzzy control, pattern recognition, knowledge-based neural networks, relational computing, and Software Engineering. He has published numerous papers in this area. He is also an author of 15 research monographs covering various aspects of Computational Intelligence, data mining, and Software Engineering. Dr. Pedrycz is intensively involved in editorial activities. He is an Editor-in-Chief of Information Sciences, Editor-in-Chief of WIREs Data Mining and Knowledge Discovery (Wiley), and Int. J. of Granular Computing (Springer). He currently serves on the Advisory Board of IEEE Transactions on Fuzzy Systems and is a member of a number of editorial boards of other international journals.
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Prof. Philippe Fournier‑Viger
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Shenzhen University, China
Philippe Fournier-Viger (Ph.D) is distinguished professor at Shenzhen University (China). Five years after completing his Ph.D., he came to China in 2015 and became full professor after receiving an important national talent title. He has published more than 400 research papers related to data mining algorithms for complex data (sequences, graphs), intelligent systems and applications, which have received more than 17,000 citations (H-Index 66 - Google Scholar). He is the founder of the popular SPMF data mining library, offering more than 260 algorithms to find patterns in data, cited in more than 1,000 research papers. He is former associate editor-in-chief of the Applied Intelligence journal and has been keynote speaker for over 50 international conferences and co-edited four books for Springer. He appears in the top 0.3% of researchers for scientific influence in the Stanford list. He won the "Most Influential Paper Award" at the 2024 PAKDD conference and received seven Best Paper Awards at international conferences. Website: http://www.philippe-fournier-viger.com.
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Prof. Seifedine Kadry
Fellow of IET, IEEE Senior Member, Distinguish Speaker of the IEEE Computer Society
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Noroff University, Norway
Seifedine Kadry (Senior Member, IEEE) received the bachelor’s degree from Lebanese University, Beirut, Lebanon, in 1999, the dual M.S. degree from Reims University, Reims, France, and EPFL, Lausanne, Switzerland, in 2002, the Ph.D. degree from Blaise Pascal University, Aubière, France, in 2007, and the H.D.R. degree from Rouen University, Rouen, France, in 2017.,At present his research interests include data science, education using technology, system prognostics, stochastic systems, and applied mathematics.,Prof. Kadry is currently the ABET Program Evaluator for computing, and the ABET Program Evaluator for Engineering Tech. He is also a fellow of IET, IETE, and IACSIT. He is also a Distinguish Speaker of the IEEE Computer Society.
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