It is a pleasure to welcome to all faculty, students, researchers, and industry delegates to the 2014 Conference onIntelligent Networks and Complex Systems. The concepts of complexity and uncertainty have long puzzled the best of human minds, from the ancient Egypt to the ancient Greece and up to the modem era. Yet, the beauty of creation is that what seems to be so complex proves to be so simple. As man struggles to reach better performance, longer life, less energy consumption, and better predictions for his artificially made systems, addressing complexity becomes more and more important. The applicability of this field is wide and enormous. So, we come from diverse backgrounds such as engineering, mathematics, economics, and sciences to mention a few. And we usually work on our separate departments. The IINCS conference aims to create a unique opportunity for the university faculty, industry researchers as well as the students in this field to get together and exchange their innovative ideas and results, and to reach new conclusions. This conference is pan of the ISSSI’s initiative to suppot1 special topic conferences in the various special topic areas of intelligent systems. This year, the IINCS conference takes place on the campus of the Islamic Azad University of Mashhad. Iran from 29-30 October, 2014. Mashhad is a particularly enlightening city to visit because of holy shrine of Imam Reza (peace be upon him) as well as several historically significant museums and historical landmarks such as Tomb of Nader, Imam Reza museums and Tomb of Ferdowsi, the great poet of Farsi Language. We hope that the event will give you a pleasant and enriching experience in all aspects of your visit.
Arrangements are being made with the IEEE for indexing the accepted papers in the IEEEXplore database.
—> Conference Tracks:
Intelligent signal processing, web search engines, agents, Communication Networks, Data Analysis;
Adaptive problem solving, Heuristic search, Automated Learning, Pattern Recognition;
Modeling Social Networks, Biological Complexity;
Evolution of Complexity, Complex Networks, Engineered Complexity, Collective Behavior;
Web intelligence, Hybrid artificial intelligent systems, Clustering and Classification;
Markov Modeling, Hidden Markov Model, Bayesian Networks, Finance Modeling;
Foundations of Complex Systems, Complexity, Information and Computation;