|Prof (Dr.) V.R.Singh|
Life Fellow-IEEE, National Physical Laboratory, India
|Prof. (Dr) V.R.Singh, Ph.D. (Electrical Engg), IIT-Delhi and Life Fellow- IEEE and LF-IETE, LF-IE-I, LF-ASI/USI and LF-IFUMB/WFUMB, has over 37 years of research-cum-teaching experience in India and abroad (Univ of Toronto-Canada, KU Leuven- Belgium, Korea Univ, South Korea, TU-Delft, Netherlands, Univ of Surrey, UK, and others). He has been at National Physical Laboratory (NPL), New Delhi, as a Director-grade-Scientist/ Head of Instrumentation, Sensors & Biomedical Measurements and Standards, as well as lately Distinguished Professor. More...|
Speech Title: U-Sensors Based Dynamic Model in Wireless Body Area Network
Abstract: As is aware, the main resource constraint in the wireless body area network is the energy. The energy consumption may be reduced by maintaining the state of a sensor. Generally, the senor node consumes less energy in the sleep state as compared to the active state. This paper develops a dynamic model by using ubiquitous sensors to select the state of the sensor node using the mutual information within the nodes. U-sensors based dynamic model is developed for effecfive use in wireless body area network to change the state of the sensor node. This model can use different routing mechanisms for comparative study. The simulation results are given for better performance than that of the current MAC. The work is applied in health care applications.
Distinguished Research Fellow, Research Center for Information Technology Innovation, Taiwan
|Dr. Huang received his PhD in Computer Science from University of Maryland. He Joined AT&T Bell Labs in 1989. His work on Software Implemented Fault Tolerance (SwiFT) tools was applied to tens of telecommunication systems in AT&T and was named one of the ten major technology breakthroughs in Bell Laboratories in 1992. Because of the SwiFT work, Dr. Huang was a recipient of Lucent Commemorating Stock Certificate and Computerworld Smithsonian Award in 1998 on the SwiFT technology. He became a Distinguished Member of Technical Staff of Bell Labs in 1996. He started the Dependable Computing Research Department in AT&T in 1999 and was the department head of the organization to ensure the high dependability of all AT&T services. Dr. Huang became the VP of Engineering of PreCache Inc, a Sony subsidiary, in 2001 to create a multi-media content delivery platform. In late 2004, Dr. Huang returned to AT&T and became the Executive Director of Dependable Distributed Computing and Communication Research Department to lead AT&T Digital Content Management and IPTV research programs. More...|
|Prof. Suresh Chandra Satapathy|
School of Computer Engineering, KIIT, India
|Suresh Chandra Satapathy is a Ph. D in Computer Science Engineering, currently working as Professor of School of Computer Engineering at KIIT (Deemed to be University), Bhubaneshwar, Odisha, India. He held the position of the National Chairman (Educational and Research) of Computer Society of India and is also a senior Member of IEEE. He has been instrumental in organizing more than 30 International Conferences in India as Organizing Chair and edited more than 40 Book Volumes from Springer LNCS, AISC, LNEE and SIST Series as Corresponding Editor. He is quite active in research in the areas of Swarm Intelligence, Machine Learning, Data Mining. He has developed two new optimization algorithms known as Social Group Optimization (SGO) published in Springer Journal and SELO ( Social Evolution and Learning Algorithm) published in Elsevier. He has delivered number of Keynote addresses and Tutorials in his areas of expertise in various events in India and abroad. He has more than 120 publications in reputed journals and conf proceedings. Dr. Suresh is in Editorial board of IGI Global, Inderscience, Growing Science journals and also Guest Editor for Arabian Journal of Science and Engg published by Springer. He is the Editor-in-Chief of IJIDSS from Inderscience and Associate Editor of KES Journal from IOS press.|
Speech Title: SGO( Social Group Optimization): A new evolutionary optimization techniques and its applications in Sensor Networks
Abstract: Nature provides some of the efficient ways to solve problems. Nature inspired algorithms imitating processes in nature/inspired from nature for solving complex optimization problems. In this talk the use of recently developed new efficient optimization algorithm Social Group Optimization (SGO) which is inspired by the social behavior of human for solving complex problems would be discussed. To judge the effectiveness of SGO, extensive experiments have been conducted on number of different unconstrained benchmark functions and performance comparisons are made with recently proposed state-of-art optimization techniques as well as 30 standard numerical benchmark functions taken from ICSI 2014 Competition on Single Objective Optimization and compared with the performance of six selected algorithms of that competition. In the later part of the talk, a case study of application of SGO to Sensor Networks would be delivered.
|Prof. Margarita N. Favorskaya|
Head of Department of Informatics and Computer Techniques, Reshetnev Siberian State University of Science and Technology, Russian Federation
|Dr. Margarita N. Favorskaya is a Professor and Head of Department of Informatics and Computer Techniques at Reshetnev Siberian State University of Science and Technology., Russian Federation.|
Professor Favorskaya is a member of KES organization since 2010, the IPC member and the Chair of invited sessions of over 30 international conferences. She serves as a reviewer in international journals (Neurocomputing, Knowledge Engineering and Soft Data Paradigms, Pattern Recognition Letters, Engineering Applications of Artificial Intelligence), an associate editor of Intelligent Decision Technologies Journal, International Journal of Knowledge-Based and Intelligent Engineering Systems, International Journal of Reasoning-based Intelligent Systems, a Honorary Editor of the International Journal of Knowledge Engineering and Soft Data Paradigms, the Reviewer, Guest Editor, and Book Editor (Springer). She is the author or the co-author of 200 publications and 20 educational manuals in computer science. She co-authored/co-edited seven books for Springer recently. She supervised nine Ph.D. candidates and presently supervising four Ph.D. students.
Her main research interests are digital image and videos processing, remote sensing, pattern recognition, fractal image processing, artificial intelligence, and information technologies.