Ajith Abraham, Machine Intelligence Research Labs (MIR Labs)

Ajith Abraham received the M.S. degree from Nanyang Technological University, Singapore, and the Ph.D. degree in Computer Science from Monash University, Melbourne, Australia. He is currently a Research Professor at IT For Innovations - EU Center of Excellence located at VSB - Technical University of Ostrava, Czech Republic. He is also the Director of Machine Intelligence Research Labs (MIR Labs),
Scientific Network for Innovation and Research Excellence, which has members from more than 80 countries.

He has a worldwide academic experience with formal appointments in several Universities in America, Asia, Australia and Europe. His research and development experience includes more than 20 years in the industry and academia. He works in a multidiscciplinary environment involving machine intelligence, network security, various aspects of networks, e-commerce, Web intelligence, Web services, computational grids, data mining and their applications to various real-world problems. In these topics, he has given more than 50 conference plenary lectures/tutorials and invited seminars/lectures in over 50 Universities around the globe.

He serves/has served the editorial board of over 50 International journals and has also guest edited 40 special issues on various topics. He is an author / co-author of more than 800 publications and some of the works have also won best paper awards at international conferences and also received several citations. Some articles are available in the ScienceDirect  Top 25 hottest articles.

He is a Distinguished Lecturer of IEEE Computer Society (2011-2013). Since 2008, he is the Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing.  Dr. Abraham is a Senior Member of the IEEE, the IEEE Computer Society, the Institution of Engineering and Technology (UK) and the Institution of Engineers Australia (Australia), etc. He is the founder of several IEEE
sponsored annual conferences, which are now anual events - Hybrid Intelligent Systems (HIS - 11 years); Intelligent Systems Design and Applications (ISDA - 11 years); Information Assurance and Security (IAS - 7 years); Next Generation Web Services Practices (NWeSP - 7 years), Computational Aspects of Social Networks (CASoN - 3 years), Soft Computing and Pattern Recognition (SoCPaR - 3 years), Nature and Biologically Inspired Computing (NaBIC - 3 years) are some examples.
More information at: http://www.softcomputing.net

Abstract

Nature Inspired Hybrid Intelligent Systems
This tutorial presents the importance of nature inspired problem solving technologies. The speaker will illustrate the need for optimization of conventional problem solving approaches like neural networks and fuzzy expert systems etc. for function approximation and pattern recognition problems. An indepth discussion will be made related to the different ways to improve the performance (by hybridization) and then start with the review of some of the popular hybrid architectures. Several real world problems will be used to illustrate the performance of some of the popular hybrid architectures.