MIR Labs Research Team

The core of MIR Labs is the research team in the network. The research profiles of the key members are displayed below. Besides the core researchers, several other researchers are also listed under the Mir Labs Network.

 

  Ajith Abraham

  Director - MIR Labs (Global Operations)

Ajith's research and development experience includes over 19 years in the Industry and Academia spanning different continents in Australia, America, Asia and Europe. He works in a multi-disciplinary environment involving machine intelligence, network security, sensor networks, e-commerce, Web intelligence, Web services, computational grids, data mining and applied to various real world problems. He has co-authored over 500 publications  with colleagues from nearly 30 countries - Erdös number = 3) and some of the works have also won best paper awards at international conferences and has received several citations. He has given more than 30 plenary lectures and conference tutorials in these areas.

      He has a world wide academic experience with formal appointments in Monash University, Australia; Oklahoma State University, USA; Chung-Ang University, Seoul; Jinan University, China; Rovira i Virgili University, Spain; Dalian Maritime University, China; Yonsei University, Seoul and Open University of Catalonia, Spain, INSA Lyon, France and Norwegian University of Science and Technology, Norway. For about 2.5 years, he was working under the Institute of Information Technology Advancement (IITA) Professorship Program funded by the South Korean Government.

      Before turning into a full time academic, he was working with three Multinational Industries in different industrial research and development projects for nearly 8 years. He received Ph.D. degree in Computer Science from Monash University, Australia and a Master of Science degree from Nanyang Technological University, Singapore.

Besides, the Editor-in-Chief of several journals, he also serves the editorial board of numerous reputed International journals and has also guest edited 30 special issues on various topics related to machine intelligence. He is actively involved in the Hybrid Intelligent Systems (HIS) ; Intelligent Systems Design and Applications (ISDA), Information Assurance and Security (IAS) and Next Generation Web Services Practices (NWeSP) series of International conferences. He is a Senior Member of IEEE (USA), IEEE Computer Society (USA), IET (UK), IEAust (Australia) etc.

 

  Václav Snášel

  Director - Europe

  Core Researcher - MIR Labs

Vaclav Snasel's research and development experience includes over 25 years in the Industry and Academia. He works in a multi-disciplinary environment involving artificial intelligence, multidimensional data indexing, conceptual lattice, information retrieval, semantic web, knowledge management, data compression, machine intelligence, neural network, web intelligence, data mining and applied to various real world problems. He has given more than 5 plenary lectures and conference tutorials in these areas. He has authored/co-authored several refereed journal/conference papers and book chapters. He has published more than 300 papers. He has supervised many Ph.D. students from Czech Republic, Jordan, Yemen, Slovakia, Ukraine and Vietnam.
      From 2001 he is a visiting scientist in the Institute of Computer Science, Academy of Sciences of the Czech Republic. From 2003 he is vice-dean for Research and Science at Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Czech Republic. He is full professor since 2006. Before turning into a full time academic, he was working with industrial company where he was involved in different industrial research and development projects for nearly 8 years. He received Ph.D. degree in Algebra and Geometry from Masaryk University, Brno, Czech Republic and a Master of Science degree from Palacky University, Olomouc, Czech Republic.
      Besides, the Editor-in-Chief of two journals, he also serves the editorial board of some reputed International journals. He is actively involved in the International Conference on Computational Aspects of Social Networks (CASoN) ; Computer Information Systems and Industrial Management (CISIM); Evolutionary Techniques in Data Processing (ETID) series of International conferences. He is a Member of IEEE (USA), ACM (USA), AMS (USA), SIAM (USA).

 

   Jack Yang

    Core Researcher - MIR Labs (Global)

Dr. Jack Y. Yang is a Harvard scientist. He received his Ph.D. and MS degrees both from Purdue University, West Lafayette main campus and his post doctoral training from Harvard Medical School and Indiana University School of Medicine. He also received training in biostatistics and bioinformatics from Johns Hopkins University and in computer science from University of Illinois at Urbana-Champaign. He has been a faculty member of Indiana University. Dr. Yang was trained as a combined experimental and computer scientist with more than 15 years of teaching, research and engineering practice experience in biomedical engineering and computational science.
       Dr. Yang works in both engineering practice and translational medicine. He is the Editor-in-Chief of International Journal of Functional Informatics and Personalized Medicine and an honorary consulting editor of International Journal of Computational Biology and Drug Design. He has also been an editor of more than a dozen journals and proceedings books such as International Journal of Pattern Recognition and Artificial Intelligence (World Scientific), Journal of Supercomputing (Springer Science), Proceedings of IEEE Computer Society Bioinformatics and Biomedicine International Workshops and Proceedings of International Conference on Bioinformatics and Computational Biology. He was the General Chair of the IEEE 7th International Conference on Bioinformatics and Bioengineering at Harvard Medical School and Co-PI of the National Science Foundation grant. He is also a consultant to IJCBS and International Conference on Bioinformatics and Computational Biology. Dr. Yang has delivered many invited talks including a number of keynote lectures to promote the emerging field of functional informatics and personalized medicine. He has published more than 100 peer reviewed papers and book chapters. He specializes in cancer biology and artificial intelligence. He is the chair of board of directors of International Society of Intelligent Biological Medicine.

 

    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.

 

 

  André  Carvalho

  Director - South America

  Core Researcher - MIR Labs (Global Operations)

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 Săo 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

Director - Asia

Core Researcher - MIR Labs (Global Operations)

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.

 
 

 

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