Uzay Kaymak
Uzay Kaymak received the M.Sc. degree in electrical engineering, the Degree of Chartered Designer in information technology, and the Ph.D. degree in control engineering from the Delft University of Technology, Delft, The Netherlands, in 1992, 1995, and 1998, respectively. He has held various positions at Shell International Exploration and Production, Erasmus University Rotterdam, the Netherlands, and Salford University in United Kingdom. He is currently professor of information systems at the Information Systems (IS) Group of the School of Industrial Engineering of Eindhoven University of Technology.
Uzay Kaymak’s research is on intelligent decision support systems, data and process mining and computational modelling methods. He has worked on the development of computational intelligence methods for decision models in which linguistic information, represented either as declarative linguistic rules derived from experts or obtained through natural language processing, is combined with numerical information that is extracted from data by computational and machine learning methods. Fuzzy set theory is at the basis of such models. The resulting (adaptive) decision support systems have been used in various fields such as financial decision making, economic analysis and clinical decision support. Prof. Kaymak is an internationally acknowledged researcher, who has (co)-authored more than 250 scientific publications in the fields of intelligent systems, computerized decision support and computational intelligence. He is a board member of DSC/e (Data Science Centre Eindhoven) and of the Clinical Informatics study program (two-year post-master PDEng study) of TU/e and a member of the program and/or organization committee of multiple international conferences. He also holds a visiting professor position at the Zhejiang University.
Javier Fernandez
Javier Fernandez got his Bs.C. in Mathematics from the University of Zaragoza in 1999 and his Ph.D. in Mathematics in 2003 from the University of the Basque Country. He has been postdoctoral researcher at the CNRS in France in 2003-2004 and 2005-2007. He is currently a lecturer at the Department of Statistics, Computer Science and Mathematics of the Public University of Navarra.
Member of the research group on Artificial Intelligence and Approximate Reasoning of the same University, his main research lines are information fusion techniques, xpecially under uncertainty, fuzzy sets theory and extensions, image processing, deep learning and unique continuation problems. He has authored or co-authored more than 50 papers and co-advised two Ph.D. thesis. He has also taken part in around 12 research projects with public and private funding. He is a member of the editorial board of the journals IEEE Transactions on Fuzzy Systems and Axioms, and co-Editor in chief of the Mathware&Soft Computing online magazine.
Przemysław Grzegorzewski
Przemysław Grzegorzewski received his M.Sc. in mathematics from the University of Warsaw. Then he got his Ph.D. with distinction in computer science in 1997 and D.Sc. (habilitation) in computer science in 2006 from the Systems Research Institute of the Polish Academy of Sciences. In 2018 he received the title of Professor conferred by the President of the Republic of Poland. He is currently a Full Professor at the Faculty of Mathematics and Information Science of Warsaw University of Technology and Systems Research Institute of the Polish Academy of Sciences. He is a founder and coordinator of the specialization in Mathematical Statistics and Data Analysis at the Faculty of Mathematics and Information Science, Warsaw University of Technology.
His areas of expertise include mathematical statistics, statistical decisions with imprecise data, data mining, fuzzy sets, fuzzy logic, soft computing, statistical quality control, etc. Having authored several books, he edited and co-edited several volumes and special issues of scientific journals. Overall, he published more than 170 papers in scientific journals, edited volumes and conference proceedings. Prof. Grzegorzewski is a co-founder and a member of the Executive Board of the International Conference on Soft Methods in Probability and Statistics (SMPS). He organized many other conferences and workshops. He is a member of several scientific councils and associations including the Committee for the Development of Mathematical Statistics and its Applications in Poland and the European Association for Fuzzy Logic and Technology (EUSFLAT). He was also a scientific committee member of many conferences and a reviewer of several scientific journals and international conferences.
Michal Botur
Michal Botur received his Ph.D. in Algebra from Palacký University in 2009. Currently, he is an Associate Professor at Department of Algebra and Geometry, Palacký University. His work centres around residuated lattices and other ordered algebras. More recently, he has been working on applications of category theory to ordered or universal algebra.
Bernard De Baets
Bernard De Baets is a senior full professor in applied mathematics at the Faculty of Bioscience Engineering of Ghent University, the top-ranked Belgian university. He is leading the research unit KERMIT and acts as head of the Department of Data Analysis and Mathematical Modelling. Furthermore, he is an affiliated professor at the Anton de Kom Universiteit (Suriname), an Honorary Professor of Budapest Tech (Hungary), a Doctor Honoris Causa of the University of Turku (Finland) and a Profesor Invitado of the Universidad Central “Marta Abreu” de las Villas (Cuba). As a trained mathematician, computer scientist and knowledge engineer, Bernard has developed a passion for multi- and interdisciplinary research. He is not only deeply involved in fundamental research in three interlaced research threads, namely knowledge-based, predictive and spatio-temporal modelling, but he also aims at innovative applications in the applied biological sciences. At present, over 30 researchers are involved in the activities of KERMIT. Over the past 20 years, 75 PhD students have graduated under his (co-)supervision. Bernard is a prolific writer, with a bibliography comprising well over 500 peer-reviewed journal papers, 60 book chapters and 300 contributions to conference proceedings, accumulating more than 21000 Google Scholar citations (h-index 70). Several of his works have been bestowed upon with a best paper award. Moreover, he is a much-invited speaker, having delivered over 250 lectures world-wide. In 2011, he was elected Fellow of IFSA (International Fuzzy Systems Association) and in 2012, he was a nominee for the Ghent University Prometheus Award for Research. In 2019, he received the EUSFLAT Scientific Excellence Award. Bernard actively serves the research community, in particular as co-editor-in-chief of Fuzzy Sets and Systems and as member of the editorial board of several other journals, including the Internat. J. of Approximate Reasoning, Engineering Applications of Artificial Intelligence, and the Iranian J. of Fuzzy Systems.
Svetlana Asmuss
Svetlana Asmuss received the PhD degree in Mathematics from the Institute of Mathematics of the Ukrainian Academy of Science in 1991. She has held various positions at the University of Latvia, where currently she is a full Professor and the Head of Department of Mathematical Analysis. Also, she has a part-time research position in the Institute of Mathematics and Computer Science, Riga, Latvia. She is a member of several scientific councils and associations including the Latvian Mathematical Society, where currently she serves as the president. She has published more than 50 papers and has authored more than 80 contributions to international conferences devoted to mathematical modelling and analysis. Her research interests include aggregation, optimization and approximation methods where she successfully uses classical as well as fuzzy logic based approaches.
