Evostar 2017

Invited Speakers

Bio: Kenneth A. De Jong received his Ph.D. in computer science from the University of Michigan in 1975. He joined George Mason University in 1984 and is currently a Professor Emeritus of Computer Science, head of the Evolutionary Computation Laboratory, and Associate Director of the Krasnow Institute. His research interests include genetic algorithms, evolutionary computation, machine learning, and complex adaptive systems. He is currently involved in research projects involving the development of new evolutionary algorithm (EA) theory, the use of EAs as high-performance optimization techniques, and the application of EAs to the problem of learning task programs in domains such as robot navigation and game playing. He is an active member of the Evolutionary Computation research community and has been involved in organizing many of the workshops and conferences in this area. He is the founding editor-in- chief of the journal Evolutionary Computation (MIT Press), and a member of the board of ACM SIGEVO. He is the recipient of an IEEE Pioneer award in the field of Evolutionary Computation and a lifetime achievement award from the Evolutionary Programming Society.

Bio: Dr. Arthur Kordon is CEO of Kordon Consulting LLC and an internationally recognized expert in applying data science, advanced analytics and computational intelligence in industry. The list of his current projects for large corporations includes: customer churn analysis, classifying patterns in office occupancy, nonlinear price forecasting, etc. In his previous position as Advanced Analytics Leader at Dow Chemical, Dr. Kordon has successfully applied advanced analytics solutions in various business problems in forecasting, business cycles analysis, price elasticity analysis, fraud detection in Auditing, etc. He also successfully introduced several novel technologies for improved manufacturing and new product design based on computational intelligence, such as robust inferential sensors, process optimization based on empirical emulators, automated operating discipline, and accelerated fundamental model building. He holds a US patent and has published more than 70 papers and 14 book chapters in the area of applied computational intelligence and advanced analytics. Recently he published the book Applying Computational Intelligence, published by Springer and is a co-author of the book Applied Data Mining for Forecasting, published by SAS Press.