Jack Yang

    Core Researcher - MIR Labs (Global)

    James Peters

    Core Researcher - MIR Labs (Global)

James F. Peters is Co-Founder and Research Group Leader in the Computational Intelligence Laboratory and Full Professor in the Department of Electrical and Computer Engineering (ECE) at the University of Manitoba. He received a Ph.D. in Constructive Specification of Communicating Processes (1991, Kansas State University) and was a Postdoctoral Fellow, Syracuse University, and Rome Laboratories (1991), Assistant Professor, University of Arkansas and Researcher in the Mission Sequencing and Telecommunications Divisions at the Jet Propulsion Laboratory/Caltech, Pasadena, California (1992-1994).
      In 2002, Prof. Peters collaborated with Zdizislaw Pawlak on a descriptive view of the nearness of physical objects. In 2006, he introduced near sets, a generalisation of rough sets. This has led to a feature-based solution to the image correspondence problem. In April 2008, Prof. Peters received the International Journal of Intelligent Computing and Cybernetics best journal article award. In 2007, He received a Best Paper Award from Springer, Berlin and Joint Rough Set Symposium 2007 (JRS 2007) Program Committee, for a paper on robotic target tracking with approximation space-based feedback and approximate adaptive learning capability. In 2007, he was a plenary speaker on image pattern recognition and biologically-inspired adaptive learning at two international conferences (JRS 2007, Toronto and RSEISP 2007, Warsaw). He is the recipient of the IEEE Gold Medallion Award Medal (2000) and an IFAC Best Paper Award (1998) for a paper on rough control.
     He also is Co-Editor-in-Chief of the Transactions on Rough Sets Journal published by Springer-Verlag. He is the Honorary Chair and Keynote Speaker for, International Conference on Man-Machine Interactions (ICMMI 2009). More recently, he was a Plenary Speaker for Rough Sets and Emerging Intelligent Systems Paradigms (RSEISP 2007). He was also a Plenary Speaker at the Symposium on Methods of Artificial Intelligence (AIMETH 2005), Keynote speaker at the International Workshop on Monitoring, Security and Rescue Techniques in Multiagent Systems (MSRAS 2004), P{\l}ock, Poland, June 2004, Plenary speaker at the 9th Int. Conf. on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2003), October 2003, Chongqing, China, Program Co-Chair, Rough Sets and Knowledge Technology (RSKT 2006) and RSFDGrC 2005, Program Chair for North America for the 3rd Int. Conf. on Rough Sets and Current Trends in Computing (RSCTC'02), Workshop Co-Chair of COMPSAC'02 Workshop on the Foundation of Data Mining via Granular and Rough Computing, Program Committee Member of RSCTC 2000 and numerous other conferences. He served as Guest Editor for the International Journal on Intelligent Systems, 1999, 2001 and 2002. He has published widely in refereed journals, edited volumes, conferences and workshops. He has had numerous research grants and currently has research grants from Manitoba Hydro, the Canadian Arthritis Network and the National Research Engineering Research Council of Canada (NSERC).
      His current research interests are in tolerance spaces, perception-based image analysis, finite lattices, fuzzy sets, near sets, especially tolerance near sets, rough sets, and perceptual morphology.

Prof. André  Carvalho received his B.Sc. and M.Sc. degrees in Computer Science from the Universidade Federal de Pernambuco, Brazil. He received his Ph.D. degree in Electronic Engineering from the University of Kent, UK. Prof. André de Carvalho is Full Professor at the Department of Computer Science, Universidade de São Paulo, Brazil. He has published around 60 Journal and 200 Conference refereed papers. He has been involved in the organization of several conferences and journal special issues. His main interests are Machine Learning, Data Mining, Bioinformatics, Evolutionary Computation, Bioinspired Computing and Hybrid Intelligent Systems.

Mario Köppen was born in 1964. He studied physics at the Humboldt-University of Berlin and received his master degree in solid state physics in 1991. Afterwards, he worked as scientific assistant at the Central Institute for Cybernetics and Information Processing in Berlin and changed his main research interests to image processing and neural networks. From 1992 to 2006, he was working with the Fraunhofer Institute for Production Systems and Design Technology. He continued his works on the industrial applications of image processing, pattern recognition, and soft computing, esp. evolutionary computation. During this period, he achieved the doctoral degree at the Technical University Berlin with his thesis works: "Development of an intelligent image processing system by using soft computing" with honors. He has published around 100 peer-reviewed papers in conference proceedings, journals and books and was active in the organization of various conferences as chair or member of the program committee, incl. the WSC on-line conference series on Soft Computing in Industrial Applications, and the HIS conference series on Hybrid Intelligent Systems. He is founding member of the World Federation of Soft Computing, and also member of the editorial board of the Applied Soft Computing journal, the Intl. Journal on Hybrid Intelligent Systems and the Intl. Journal on Computational Intelligence Research. In 2006, he became JSPS fellow at the Kyushu Institute of Technology in Japan, and in 2008 Professor at the Network Design and Reserach Center (NDRC) of the Kyushu Institute of Technology, where he is conducting now research in the fields of multi-objective optimization, digital convergence and multimodal content management.