Information and Communication Technology for Intelligent Systems

Suresh Chandra Satapathy is currently working as Professor , School of Computer Engineering, KIIT Deemed to be University  Bhubaneswar, India. He obtained his Ph.D. in Computer Science and Engineering from JNTU Hyderabad and M.Tech. in CSE from NIT, Rourkela, Odisha, India. He has 27 years of teaching experience. His research interests are data mining, machine intelligence and swarm intelligence. He has acted as program chair of many international conferences and edited 6 volumes of proceedings from Springer LNCS and AISC series. He is currently guiding 8 scholars for Ph.D. Dr. Satapathy is also a Senior Member of IEEE. Amit Joshi is a young entrepreneur and researcher who holds an M.Tech. in Computer Science and Engineering and is currently pursuing research in the areas of Cloud Computing and Cryptography. He has six years of academic and industrial experience at prestigious organizations in Udaipur and Ahmedabad. Currently, he is working as an Assistant Professor at the Department of Information Technology, Sabar Institute in Gujarat. He is an active member of the ACM, CSI, AMIE, IACSIT-Singapore, IDES, ACEEE, NPA and many other professional societies. He also holds the post of Honorary Secretary of the CSI’s Udaipur Chapter and Secretary of the ACM’s Udaipur Chapter. He has presented and published more than 30 papers in national and international journals/conferences of the IEEE and ACM. He has edited three books, on Advances in Open Source Mobile Technologies, ICT for Integrated Rural Development and ICT for Competitive Strategies. He has also organized more than 15 national and international conference and workshops, including the international conference ICTCS 2014 at Udaipur through the ACM–ICPS. In recognition of his contributions, he received the Appreciation Award from the Institution of Engineers (India) in 2014, and an award from the SIG-WNs Computer Society of India in 2012.

Semantic Segmentation using Deep learning for Brain Tumor MRI via Fully Convolution Neural Networks.- An Efficient Cryptographic Mechanism to Defend Collaborative Attack against DSR Protocol in Mobile Adhoc Networks.- Materialized Queries with Incremental Updates.- Traffic Signal Automation through IoT by Sensing and Detecting Traffic Intensity through IR sensors.- Performance Evaluation of Various Data Mining Algorithms on Road Traffic Accident Dataset.- Classification of Blood Cancer and form associated Gene networks using Gene Expression Profiles.- Stock Market Decision Making Model based on spline approximation using minimax criterion.