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Related conferences:

CEC 2005
IEEE Congress on Evolutionary Computation
September 2-5 2005
Edinburgh, UK

ECAL 2005
European Conference on Artificial Life
September 5-9 2005
Canterbury, Kent, UK

ICES 2005
International Conference on Evolvable Systems
September 12-14 2005
Sitges, Barcelona, Spain

Xin Yao

Gary B. Fogel

Florentin Woergoetter

Xin Yao - University of Birmingham, UK

"Why Use Populations in Evolutionary Computation?"

Xin Yao is a professor of computer science from the University of
Birmingham, UK. He is also a Distinguished Visiting Professor of the
University of Science and Technology of China, P. R. China, and a visiting professor of three other universities. Prof. Yao is a Fellow of the IEEE, Editor-in-Chief of IEEE Transactions on Evolutionary Computation, an associate editor or an editorial board member of nine other journals, the editor of the World Scientific book series on "Advances in Natural Computation", and a guest editor of several journal special issues. In 2001 he won the IEEE Donald G. Fink prize paper award and several other best paper awards. He has more than 200 research publications. His research interests include evolutionary computation, neural network ensembles, global optimization, data mining and computational time complexity of evolutionary algorithms. He works closely with many industrial partners on various real-world problems. He is the Director of The Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA) (www.cercia.com), which is focused on applied research and knowledge transfer to the industry.

Gary B. Fogel - Natural Selection, Inc., USA

"Applications of Computational Intelligence to Pattern Discovery in Biological Systems"

Gary B. Fogel currently serves as Vice President of Natural Selection, Inc. and specializes in applications of computational intelligence to problems in bioinformatics. He joined Natural Selection, Inc. after completing the Ph.D. in biology from the University of California at Los Angeles in 1998 with a focus on the evolution and variability of histone proteins. While at UCLA, Dr. Fogel was a Fellow of the Center for the Study of Evolution and the Origin of Life and earned several teaching and research awards. His current efforts include the use of evolved neural networks for gene expression analysis, gene recognition, drug activity prediction, as well as methods of evolutionary computation in RNA structure analysis, sequence alignment, and biomedical pattern recognition.

Dr. Fogel is a member of the IEEE, Sigma Xi, the International Society for the Study of the Origin of Life, the Biomedical Engineering Society, and is President of the Evolutionary Programming Society. Dr. Fogel currently serves as an associate editor of BioSystems, the IEEE Transactions on Evolutionary Computation, and the IEEE Transactions on Computational Biology and Bioinformatics. He has co-edited a volume on Evolutionary Computation in Bioinformatics, published by Morgan Kaufmann in 2003. Dr. Fogel served as technical co-chair for the 2001 Congress on Evolutionary Computation and conference program chair for the 2004 Congress on Evolutionary Computation, and as general chair for the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, to be held in San Diego, California October 7-8.

Florentin Woergoetter - University of Stirling, UK

"Temporal Sequence Learning in Neurons and Robots: Breaking with Hebb's Paradigm"

Florentin Wörgötter is a research professor at the Bernstein Centre of Computational Neuroscience, Göttingen, Germany and co-affiliated as a professor at the Dept. of Psychology of University of Stirling. He is director of INCITE, an institute for technology transfer in the fields of computer vision and data mining. In parallel to this fucntion he is also director of ITL Ldt. which is INCITE's trade-post. He has undertaken experimental neuroscience research since 1985 and theoretical neuroscience research since 1988. His main research goal is to bring perception and action together in artificial systems (computer vision systems, robots), building on the knowledge gained from theoretical neuroscience. His research is focused on the visual system (perception) and on biophysical machine learning (action). He developed a neuromorphic VLSI algorithm for stereoscopic depth analysis, which is now (as an FPGA implementation) used in several industrial applications. This broad interdisciplinary research has lead to publications in Nature, Trends in the Neurosciences, J. Neuroscience and others. In addition he has published textbook chapters on computational neuroscience of the primary visual pathway and major reviews on novel concepts in computer vision and machine learning. Past research interests were focused on early vision problems; current research is now centred on problems of data-fusion in the field of “active vision” as well as the integration of sensor and motor aspects. The attitude behind this research is to bridge the gap from experimentally recorded neuronal activity to technological implementations utilising neural networks models of different biophysical complexity as mediators between these domains.