Hossein Peyvandi

University of SurreyUnited Kingdom

Dr. Hossein Peyvandi received his BSc degree in Electrical Engineering from Sharif University of Technology, Iran, his MSc degree (with distinction) in Electrical Engineering from the University of Tehran, Iran, and his PhD degree in Electrical Engineering from the University of Surrey, UK. He has also been a postdoctoral research scholar at Ulster University, Northern Ireland. Since 2011, he has been with the University of Surrey, UK, where he became an associate lecturer in 2014. He has published more than 20 papers in peer-reviewed journals and conferences, including ISIT, one of the prestigious IEEE conferences on information theory, which was held at MIT, USA, 2012. He also has a patent on cryptography. His current research interests include computational intelligence, neuroinformatics, predictive analytics, self-organizing networks, network security, cryptanalysis, and information theory. Dr. Peyvandi is a fellow of the Higher Education Academy (HEA), UK. He is a member of the Institute of Electrical and Electronics Engineers (IEEE), American Mathematical Society (AMS), and Institute of Engineering and Technology (IET). Since 2012, he has been a TPC member of the International Conference on Data Mining (DMIN), USA. He has served as a reviewer for numerous journals, including IEEE Signal Processing and Wiley Wireless Communication. He is a recipient of the NEF award accredited by the National Elites Foundation, Iran. He has been involved in a number of R&D projects and three European projects for more than ten years in his research career. He is interested in calligraphy, oil painting, and mountaineering in his spare time.

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Latest work with IntechOpen by Hossein Peyvandi

The purpose of optimization is to maximize the quality of lives, productivity in time, as well as interests. Therefore, optimization is an ongoing challenge for selecting the best possible among many other inferior designs. For a hundred years in the past, as optimization has been essential to human life, several techniques have been developed and utilized. Such a development has been one of the long-lasting challenges in engineering and science, and it is now clear that the optimization goals in many of real-life problems are unlikely to be achieved without resource for computational techniques. The history of such a development in the optimization techniques starts from the early 1950s and is still in progress. Since then, the efforts behind this development dedicated by many distinguished scientists, mathematicians, and engineers have brought us today a level of quality of lives. This book concerns with the computational optimization in engineering and techniques to resolve the underlying problems in real life. The current book contains studies from scientists and researchers around the world from North America to Europe and from Asia to Australia.

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