Francisco Herrera received the M.Sc. degree in Mathematics in 1988 and the Ph.D. degree in Mathematics in 1991, both from the University of Granada, Spain.
He is currently a Professor in the Department of Computer Science and Artificial Intelligence at the University of Granada. He has published more than 150 papers in international journals. He is coauthor of the book “Genetic Fuzzy Systems: Evolutionary Tuning and Learning of Fuzzy Knowledge Bases" (World Scientific, 2001).
As edited activities, he has co-edited five international books and co-edited twenty special issues in international journals on different Soft Computing topics. He acts as associated editor of the journals: IEEE Transactions on Fuzzy Systesms, Mathware and Soft Computing, Advances in Fuzzy Systems, Advances in Computational Sciences and Technology, and International Journal of Applied Metaheuristic Computing. He currently serves as area editor of the Journal Soft Computing (area of genetic algorithms and genetic fuzzy systems), and he serves as member of the editorial board of the journals: Fuzzy Sets and Systems, Applied Intelligence, Knowledge and Information Systems, Information Fusion, Evolutionary Intelligence, International Journal of Hybrid Intelligent Systems, Memetic Computation, International Journal of Computational Intelligence Research, The Open Cybernetics and Systemics Journal, Recent Patents on Computer Science, Journal of Advanced Research in Fuzzy and Uncertain Systems, International Journal of Information Technology and Intelligent and Computing, and Journal of Artificial Intelligence and Soft Computing Research.
His current research interests include computing with words and decision making, data mining, data preparation, instance selection, fuzzy rule based systems, genetic fuzzy systems, knowledge extraction based on evolutionary algorithms, memetic algorithms and genetic algorithms.
Frank Hoffmann received the Ph.D. degree in physics from the University of Kiel, Germany in 1996. From 1996 to 2000 He has been with University of California at Berkeley as a visiting researcher. He was lecturer in computer science at the Royal Institute of Technology in Stockholm, Sweden from 2000-2002. Since 2003 he is a senior researcher at the Technische Universität Dortmund. He served as general chair of WSC8 and GEFS´08. He is associate editor of IEEE Systems, Man and Cybernetics Part B and Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. His research interests are in the area of computational intelligence, robotics and computer vision.Lecture title: Trends and challenges in evolutionary design and optimization
Eyke Hüllermeier is with the Department of Mathematics and Computer Science at Marburg University (Germany), where he holds an appointment as a full professor and heads the Knowledge Engineering and Bioinformatics Lab. He holds M.Sc. degrees in mathematics and business computing, a Ph.D. in computer science, and a Habilitation degree, all from the University of Paderborn (Germany). His research interests are focused on machine learning and data mining, fuzzy set theory, uncertainty and approximate reasoning, and applications in bioinformatics. He has published more than 100 research papers on these topics in peer-reviewed journals and major international conferences. He is a Member of the IEEE, the IEEE Computational Intelligence Society, and a board member of the European Society for Fuzzy Logic and Technology (EUSFLAT). He is on the editorial board of several journals, including Fuzzy Sets and Systems and Soft Computing. Moreover, he is a coordinator of the EUSFLAT working group on Learning and Data Mining, and the head of the IEEE CIS Task Force on Machine Learning.Lecture title: Fuzzy Rule Induction and Related Problems. A Case for Genetic Search