Intelligent Data Communication Technologies and Internet of Things: Proceedings of ICICI 2021

D. Jude Hemanth · Danilo Pelusi · Chandrasekar Vuppalapati

2022年2月 · Lecture Notes on Data Engineering and Communications Technologies 第 101 本图书 · Springer Nature

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关于此电子书

This book gathers selected papers presented at the 5th International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI 2021), organized by JCT College of Engineering and Technology, Coimbatore, Tamil Nadu, India during 27 – 28 August 2021. This book solicits the innovative research ideas and solutions for almost all the intelligent data intensive theories and application domains. The general scope of this book covers the design, architecture, modeling, software, infrastructure and applications of intelligent communication architectures and systems for big data or data-intensive applications. In particular, this book reports the novel and recent research works on big data, mobile and wireless networks, artificial intelligence, machine learning, social network mining, intelligent computing technologies, image analysis, robotics and autonomous systems, data security and privacy.

作者简介

Dr. D. Jude Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006 and Ph.D. from Karunya University in 2013. His research areas include Computational Intelligence and Image processing. He has authored more than 120 research papers in reputed SCIE indexed International Journals and Scopus indexed International Conferences. His Cumulative Impact Factor is more than 150. He has published 33 edited books with reputed publishers such as Elsevier, Springer and IET.

Dr. Danilo Pelusi received the Ph.D. degree in Computational Astrophysics from the University of Teramo, Italy. Associate Professor at the Faculty of Communication Sciences, University of Teramo, he is an Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Access, International Journal of Machine Learning and Cybernetics (Springer) and Array (Elsevier). Guest editor for Elsevier, Springer and Inderscience journals, he served as program member of many conferences and as editorial board member of many journals. His research interests include Fuzzy Logic, Neural Networks, Information Theory and Evolutionary Algorithms. Publication Link: https://scholar.google.it/citations?user=weczOsMAAAAJ&hl=it

Dr. Chandrasekar Vuppalapati is a Software IT Executive with diverse experience in Software Technologies, Enterprise Software Architectures, Cloud Computing, Big Data Business Analytics, Internet of Things (IoT), and Software Product & Program Management. Chandra held engineering and Product leadership roles at GE Healthcare, Cisco Systems, Samsung, Deloitte, St. Jude Medical, and Lucent Technologies, Bell Laboratories Company. Chandra teaches Software Engineering, Mobile Computing, Cloud Technologies, and Web & Data Mining for Master’s program in San Jose State University. Additionally, Chandra held market research, strategy and technology architecture advisory roles in Cisco Systems, Lam Research and performed Principal Investigator role for Valley School of Nursing where he connected Nursing Educators & Students with Virtual Reality technologies. Chandra has functioned as Chair in numerous technology and advanced computing conferences such as: IEEE Oxford, UK, IEEE Big Data Services 2017, San Francisco USA and Future of Information and Communication Conference 2018, Singapore. Chandra graduated from San Jose State University Master’s Program, specializing in Software Engineering, and completed his Master of Business Administration from Santa Clara University, Santa Clara, California, USA.