Ajith Abraham
Technical University of Ostrava, Czech Republic

DVP Term Expires 31 December 2013

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 the 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 75 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 700 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 serves the IEEE Computer Society's Technical Committee on Scaleable Computing and was the General Chair of The 8th International Conference on Pervasive Intelligence and Computing (PICOM 2009) and 2nd International Conference on Multimedia Information Networking and Security (MINES 2010). He is also the General Co-chair of MINES 2011. 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

Combating Terrorism: Soft Computing Technologies and Challenges
Counter-terrorism has become an important challenge in recent times. This talk will present some soft computing approaches to discover terrorist threats and also present some tools to combat cyber terrorism. The speaker will illustrate the concept of social networks and how such networks could be used for analysis (relationships, evolution etc.) with a focus on complexity reduction of huge networks. Further, some of the challenges in designing efficient cyber terrorism detection programs will be presented using several intelligent techniques. A special focus would be on how the hacker behaviour could be captured using hidden Markov model and predict possible serious attacks with an online risk assessment. Most of these approaches could be easily deployed in a mobile environent.

Nature Inspired Heuristics: Quo Vadis
This talk will present the importance of nature inspired meta-heuristic techniques for solving some of the complex global optimization problems. A review of some of the popular algorithms based on Evolution and Swarm Intelligence algorithms will be presented first and then focus will be shifted to some of the recent heuristics based on Foraging (Bacterial foraging optimization) and Music (Harmony search). Using Empirical studies, the performance of these algorithms for solving complex global optimization problems will be illustrated.

Evolving Smart Information Systems
We are blessed with the sophisticated technological artifacts that are enriching our daily lives and the society. It is believed that the future Internet is going to provide us the framework to integrate, control or operate virtually any device, appliance, monitoring systems, infrastructures etc. The challenge is to design intelligent machines and networks that could communicate and adapt according to the environment. In this talk, the concept of digital ecosystem will be presented and then various research challenges from several application perspective will be illustrated. A real world application deploying a smart information system for health-care of terminally ill patients will be used for demonstration purposes.

Nature Inspired Intelligent Systems
This talk 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.