(listed in alphabetical order; click on a name for a short bio)
Jim received the PhD in Applied Mathematics from Cornell University in 1973. Jim is past president of NAFIPS (North American Fuzzy Information Processing Society), IFSA (International Fuzzy Systems Association) and the IEEE CIS (Computational Intelligence Society): founding editor the Int'l. Jo. Approximate Reasoning and the IEEE Transactions on Fuzzy Systems: fellow of the IEEE and IFSA; and a recipient of the IEEE 3rd Millennium, IEEE CIS Fuzzy Systems Pioneer, and IEEE CIS Rosenblatt medals. Jim's interests: woodworking, optimization, motorcycles, pattern recognition, cigars, clustering in very large data, fishing, poker, co-clustering, blues music, and visual clustering in relational data. Jim retired in 2007, and will be coming to a university near you soon.
Christian Borgelt received his diploma (M.Sc.) in computer science from the University of Braunschweig, Germany, in 1995. After spending a year at the Daimler-Benz Research Center Ulm, he became a Ph.D. student at the University of Magdeburg, Germany, and received his Ph.D. in computer science in 2000. He was awarded the Ph.D. Prize 2000 and the Research Prize 2002 of the faculty of computer science of the University of Magdeburg, Germany. In 2006 he received the venia legendi for computer science, again from the University of Magdeburg, Germany.
He published over 100 papers in national and international conferences, workshops, books, and journals, co-authored two books (one on graphical models and one on neuro-fuzzy systems) and co-edited two conference proceedings (IDA 2003 and GfKl 2005) as well as a special journal issue (Int. Journal of Approximate Reasoning). He is also well known in the data mining community for a large number of free implementations of data mining algorithms, including frequent item set mining, decision tree induction, artificial neural network training, Bayes classifier induction, regression, graphical model learning etc.
His current research interests are very diverse and include molecular and graph mining, (approximate) frequent item set mining, graphical models for diagnosis and planning, learning graphical models from data, prototype-based classification and clustering and several other intelligent data analysis methods.
Christian Borgelt is currently the Chair of COST Action IC0702: Softstat.
Didier Dubois is a Senior Research Advisor at IRIT, the Computer Science Department of Paul Sabatier University in Toulouse, France and belongs to the French National Centre for Scientific Resarch (CNRS). He holds a Doctorate in Engineering from ENSAE, Toulouse (1977), a Doctorat d'Etat from Grenoble University (1983) and an Honorary Doctorate from the Faculté Polytechnique de Mons, Belgium (1997). He is the co-author, with Henri Prade, of two books on fuzzy sets and possibility theory, and 15 edited volumes on uncertain reasoning and fuzzy sets. Also with Henri Prade, he coordinated the HANDBOOK of FUZZY SETS series published by Kluwer (7 volumes, 1998-2000) including the book Fundamentals of Fuzzy Sets. He has contributed more than 200 technical journal papers on uncertainty theories and applications. He is Editor-in -Chief of the journal Fuzzy Sets and Systems, an Advisory Editor of the IEEE Transactions on Fuzzy Systems, and a member of the Editorial Board of several technical journals, such as the International Journals on Approximate Reasoning, General Systems, Applied Logic, and Information Sciences among others. He is a former president of the International Fuzzy Systems Association (1995-1997). He received the 2002 Pioneer Award of the IEEE Neural Network Society, and the 2005 IEEE TFS Outstanding Paper Award. His topics of interest range from Artificial Intelligence to Operations Research and Decision Sciences, with emphasis on the modelling, representation and processing of imprecise and uncertain information in reasoning and problem-solving tasks.
Alexander Gegov's research interests are in the theory of computational intelligence and complex systems as well as their application for modelling and control. He has authored more than 20 journal articles and 40 conference papers. He is also the sole author of two research monographs published by Springer. He has recently introduced and started the development of the novel theory of fuzzy networks.
Alexander Gegov has been Referee for a number of international journals including IEEE Transactions on Fuzzy Systems and IEEE Transactions on Neural Networks. He has recently presented lectures and tutorials at international conferences such as the IEEE Conference on Fuzzy Systems and the IEEE Conference on Intelligent Systems. He is Member of several international organisations including IFAC and EUSFLAT.
Gil González Rodríguez has a degree in Mathematics (1996), an intermediate degree in Computer Sciences (1998) and a PhD in Mathematics from the University of Oviedo. He has worked as assistant professor in the department of Statistics and Operations Research of the University of Oviedo and he has developed several projects as statistician in the Statistical Consultancy of the University of Oviedo (1998) and the Natural Resources and Zoning Institute (Indurot, since 2002).
He has published more than 50 works in journals, books and conference proceedings, co-authored one book, and participated in one European COST action, 5 national research projects and several contracts for the Principado de Asturias. He has co-organized invited sessions in various conferences, and the 2nd International Conference on Soft Methods in Probability and Statistics (2004).
In February, 2007 he has joined the European Centre for Soft Computing as associated research in the laboratory on Intelligent Data Analysis and Graphical Models.
His current research lines are: parametric estimation and hypothesis testing involving fuzzy data, regression and correlation analysis for fuzzy data (linear models and non-parametric models), fuzzy representation of real random variables with applications to the graphical and inferential analysis of real distributions, clustering analysis of fuzzy and crisp data based on variability decomposition, and statistical applications in forestry and environmental studies.
Frank Klawonn received his M.Sc. and Ph.D. in mathematics and computer science from the University of Braunschweig in 1988 and 1992, respectively. He has been a visiting professor at Johannes Kepler University in Linz (Austria) in 1996 and at Rhodes University in Grahamstown (South Africa) in 1997. He is now the head of the Lab for Data Analysis and Pattern Recognition at the University of Applied Sciences in Wolfenbüttel (Germany). His main research interests focus on techniques for intelligent data analysis, especially clustering and classification. He is an area editor of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems and a member of the editorial boards of the International Journals of Information Technology and Intelligent Computing, Fuzzy Sets and Systems, Data Mining, Modelling & Management, Hybrid Information Technology, Knowledge Engineering & Soft Data Paradigms as well as Mathware & Soft Computing.
Frank Klawonn is currently the Vice-Chair of COST Action IC0702: Softstat.
James M. Keller received the Ph.D. in Mathematics in 1978. He holds the University of Missouri Curators? Professorship in the Electrical and Computer Engineering and Computer Science Departments on the Columbia campus. He is also the R.L. Tatum Professor in the College of Engineering. His research interests center on computational intelligence: fuzzy set theory and fuzzy logic, neural networks, and evolutionary computation with a focus on problems in computer vision, pattern recognition, and information fusion including bioinformatics, spatial reasoning in robotics, geospatial intelligence, sensor and information analysis in technology for eldercare, and landmine detection. His industrial and government funding sources include the Electronics and Space Corporation, Union Electric, Geo-Centers, National Science Foundation, the Administration on Aging, The National Institutes of Health, NASA/JSC, the Air Force Office of Scientific Research, the Army Research Office, the Office of Naval Research, the National Geospatial Intelligence Agency, and the Army Night Vision and Electronic Sensors Directorate. Professor Keller has coauthored over 300 technical publications.
Jim is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) for whom he has presented live and video tutorials on fuzzy logic in computer vision, is an International Fuzzy Systems Association (IFSA) Fellow, is a national lecturer for the Association for Computing Machinery (ACM), is an IEEE Computational Intelligence Society Distinguished Lecturer, and is a past President of the North American Fuzzy Information Processing Society (NAFIPS). He received the 2007 Fuzzy Systems Pioneer Award from the IEEE Computational Intelligence Society. He finished a full six year term as Editor-in-Chief of the IEEE Transactions on Fuzzy Systems, is an Associate Editor of the International Journal of Approximate Reasoning, and is on the editorial board of Pattern Analysis and Applications, Fuzzy Sets and Systems, International Journal of Fuzzy Systems, and the Journal of Intelligent and Fuzzy Systems. He was the Vice President for Publications of the IEEE Computational Intelligence Society from 2005-2008, and is currently an elected Adcom member. He was the conference chair of the 1991 NAFIPS Workshop, program co-chair of the 1996 NAFIPS meeting, program co-chair of the 1997 IEEE International Conference on Neural Networks, and the program chair of the 1998 IEEE International Conference on Fuzzy Systems. He was the general chair for the 2003 IEEE International Conference on Fuzzy Systems.
Witold Pedrycz received the M.Sc., and Ph.D., D.Sci. all from the Silesian University of Technology, Gliwice, Poland. He is a 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 Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland.
His research interests encompass a broad spectrum of Computational Intelligence, fuzzy modeling, knowledge discovery and data mining, fuzzy control including fuzzy controllers, pattern recognition, knowledge-based neural networks, granular and relational computing, and Software Engineering. He has published numerous papers in these areas. He is also an author of 12 research monographs.
Witold Pedrycz has been a member of numerous program committees of IEEE conferences in the area of cybernetics, fuzzy sets and neurocomputing. He is a General Co-Chair of IEEE SMC 2009 to be held in San Antonio, TX in October 2009. He serves as Editor-in-Chief of IEEE Transactions on Systems Man and Cybernetics-part A, Editor-in-Chief of Information Sciences, and Associate Editor of IEEE Transactions on Fuzzy Systems. Dr. Pedrycz is a recipient of the prestigious Norbert Wiener award from the IEEE Society of Systems, Man, and Cybernetics and an IEEE Canada Silver Medal in Computer Engineering.
Nedyalko Petrov is currently graduating as an MSc student in Computer Science at the Technical University of Sofia, Bulgaria. He has held fellowships for participation in the EU programmes for cultural and academic exchange Leonardo da Vinchi and Erasmus. As part of these programmes, he has visited the University of Hamburg in Germany and the University of Portsmouth in the UK.
Nedyalko Petrov's research interests are in the application of computational intelligence and complex systems for modelling and simulation of processes in finance, industry and other areas. He is coauthor of several research papers and an academic book chapter. He has recently started the implementation in Matlab of the novel theory of fuzzy networks and has validated some of its methods.
Nedyalko Petrov has worked as a software developer for a large international company on projects with leading aircraft manufacturers such as Airbus and Boeing. He has been recently awarded a prize in Engineering and Technology in the Spirit of Alfred Nobel by the Swedish Institute. He has also received a number of awards from national student competitions in Physics and Mathematics.
Bernd Reusch received his diploma in Mathematics from the University of Bonn, Germany. Also there he finished his Doctorate and Habilitation. He became vice director of an newly founded institute (for Switching and Automata Theory) at the "Gesellschaft für Mathematik und Datenverarbeitung, GMD". In 1972 he moved to the University of Dortmund (new name: Technische Universität Dortmund). Here he has founded, with two colleagues, the Department of Computer Science. He was three times chairman of this department and member of the senate. Many applied projects with many partners, including industry, where performed under his responsibility.
In 1991 he started a series of international conferences "Dortmund Fuzzy Days" which took place nine times until 2006, when he retired. In 1994 he initiated the "Fuzzy Initiative NRW" which made Computational Intelligence better known in this part of Germany and was financed by the "Ministry of Industry".
Bernd Reusch has published numerous papers in "Theoretical Computer Science", "CAD for Microelectronics" and "Computational Intelligence" both in theory and applications. Currently he is interested in Decision Theory.
Michel Verleysen received the M.S. and Ph.D. degrees in electrical engineering from the Université catholique de Louvain (Belgium) in 1987 and 1992, respectively. He was an invited professor at the Swiss E.P.F.L. (Ecole Polytechnique Fédérale de Lausanne, Switzerland) in 1992, at the Université d'Evry Val d'Essonne (France) in 2001, and at the Université ParisI-Panthéon-Sorbonne from 2002 to 2009, respectively. He is now Professor at the Université catholique de Louvain, and Honorary Research Director of the Belgian F.N.R.S. (National Fund for Scientific Research). He is editor-in-chief of the Neural Processing Letters journal, chairman of the annual ESANN conference (European Symposium on Artificial Neural Networks), past associate editor of the IEEE Trans. on Neural Networks journal, and member of the editorial board and program committee of several journals and conferences on neural networks and learning. He is author or co-author of more than 200 scientific papers in international journals and books or communications to conferences with reviewing committee. He is the co-author of the scientific popularization book on artificial neural networks in the series "Que Sais-Je?", in French, and of the "Nonlinear Dimensionality Reduction" book published by Springer in 2007. His research interests include machine learning, artificial neural networks, self-organization, time-series forecasting, nonlinear statistics, adaptive signal processing, and high-dimensional data analysis.
Michel Verleysen is currently the leader of Work Group A of COST Action IC0702: SoftStat.