Convergence of Blockchain, AI, and IoT

Edited by:   R. Indrakumari (Galgotias University India), R.Lakshmana Kumar, B. Balusamy (Shiv Nadar Uni.), Vijanth Sagayan Asirvadam
Imprint:   CRC Press
Country of Publication:   United Kingdom
Dimensions:   Height: 234mm,  Width: 156mm, 
Weight:   421g
ISBN:   9780367532642
ISBN 10:   0367532646
Series:   Innovations in Big Data and Machine Learning
Pages:   194
Publication Date:   23 December 2021
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

Ms. Indrakumari is working as an Assistant Professor, School of Computing Science and Engineering, Galgotias University, NCR Delhi, India. She has completed M.Tech in Computer and Information Technology from Manonmaniam Sundaranar University, Tirunelveli. Her main thrust areas are Big Data, Internet of Things, Data Mining, Data warehousing and its visualization tools like Tableau, Qlikview. Dr. R. Lakshmana Kumar is working as an Assistant professor of Computer Applications and currently also leads the technical training team in Hindusthan College of Engineering and Technology, Coimbatore. Tamil Nadu. His PhD is from Anna University, Chennai and his Research is on Semantic Web Services and part of his PhD work was funded by South Korea. He is a global chapter Lead for MLCS [Machine Learning for Cyber Security] for the Coimbatore chapter. He is currently allied with company-specific training of Infosys Campus Connect, Oracle WDP and Palo Alto Networks. He holds the International certification on SCJP (Sun Certificated Java Programmer) and SCJWCD (Sun Certificate Java Web Component Developer). He works with programming languages like Java, Python and PHP. He is involved in research and has expertise in distributed computing. He holds the Data Science certification from John Hopkins University and the Amazon Cloud Architect certification from Amazon Web Services. He has published more than 25 papers in various international journals. Dr. B. Balamurugan completed Ph.D at VIT University, Vellore and currently works as a Professor in Galgotias University, Greater Noida, Uttar Pradesh. He has 15 years of teaching experience in the field of computer science. His area of interest lies in the field of Internet of Things, Big data, Networking. He has published more than 100 international journals papers and contributed book chapters. Dr. Vijanth Sagayan Asirvadam studied at the University of Putra, Malaysia for the Bachelor Science (Hon) majoring in Statistics and graduated in April 1997 before leaving for Queen’s University Belfast to do his Masters where he received his Master’s Science degree in Engineering Computation. He has worked as a Lecturer in a private higher institution and as a System Engineer in Multimedia University, Malaysia. He later joined the Intelligent Systems and Control Research Group at Queen’s University Belfast in November 1999 where he completed his Doctorate (Ph.D.) research in Online and Constructive Neural Learning methods. He is currently a Lecturer of Information Science and Technology at Multimedia University, Malaysia. His research interests include neural network and statistical learning for black-box modelling, model validation and data mining.