Blockchain Technology for Emerging Applications: A Comprehensive Approach explores recent theories and applications of the execution of blockchain technology. Chapters look at a wide range of application areas, including healthcare, digital physical frameworks, web of-things, smart transportation frameworks, interruption identification frameworks, ballot-casting, architecture, smart urban communities, and digital rights administration. The book addresses the engineering, plan objectives, difficulties, constraints, and potential answers for blockchain-based frameworks.
It also looks at blockchain-based design perspectives of these intelligent architectures for evaluating and interpreting real-world trends. Chapters expand on different models which have shown considerable success in dealing with an extensive range of applications, including their ability to extract complex hidden features and learn efficient representation in unsupervised environments for blockchain security pattern analysis.
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SK Hafizul Islam received Ph.D. (CSE) from IIT (ISM) Dhanbad, India, under the INSPIRE Fellowship Ph.D. Program (funded by the DST, Government of India). He is currently an Assistant Professor at IIIT Kalyani, West Bengal, India. Before joining the IIIT Kalyani, he was an Assistant Professor at the BITS Pilani, Rajasthan, India. He has authored or co-authored 125 research papers in journals and conference proceedings of international reputes. His research interests include Information Security, Lattice-based Cryptography, IoT & Blockchain Security, and Deep Learning. He is an Associate Editor for "IEEE J-BHI", "IEEE T-ITS", "IEEE Systems Journal", "IEEE Access", “IJCS (Wiley)”, “Telecommunication Systems (Springer)", "IET Wireless Sensor Systems", “Journal of Cloud Computing (Springer)”, and Technical Committee Member for “Computer Communications (Elsevier)”. He is the recipient of the University Gold Medal, the S. D. Singha Memorial Endowment Gold Medal, and the Sabitri Parya Memorial Endowment Gold Medal from Vidyasagar University, in 2006. He was also the recipient of the University Gold Medal from IIT(ISM) Dhanbad in 2009.
Arup Kumar Pal is an Associate Professor in the Department of Computer Science and Engineering, Indian Institute of Technology (Indian School of Mines) Dhanbad, India. Before joining this institute, he was a lecturer in the Department of Computer Science and Engineering, NIT Jamshedpur, from April 2011 to December 2011. He received his BTech in Computer Science and Engineering from Government College of Engineering and Textile Technology, Berhampore, India, in 2006. He did his Ph.D. in Computer Science and Engineering from IIT (ISM) Dhanbad in 2011. He has more than Nine years of teaching and research experience. He has contributed over 70 research papers in several journals and conference proceedings of national and international reputes. His main research interest includes Data Compression, Multimedia Security, and CBIR. He has organized several FDP in the area of Image Processing and Cryptography. He has served as an Advisor Committee member and Technical Programme Committee (TPC) member in various conferences/workshops etc.
Debabrata Samanta is an Assistant Professor & Program Head, at the Department of Computing and Information Technologies, Rochester Institute of Technology, Kosovo, Europe. He obtained his Ph.D. in Computer Science and Engg. in the area of SAR Image Processing. He is keenly interested in Interdisciplinary Research and development and has experience spanning fields of SAR Image Analysis, Video surveillance, a Heuristic algorithm for Image Classification, Deep Learning Framework for Detection and Classification, Blockchain, Statistical Modelling, Wireless Adhoc Networks, Natural Language Processing. He has successfully completed six Consultancy Projects. He owns 22 Patents (4 Design Indian Patents and 2 Australian patents Granted, 16 Indian Patents published) and 2 copyrights. He has authored or co-authored over 224 research papers; he has co-authored 13 books and co-edited 13 books. He has presented various papers at international conferences and received Best Paper awards. He is an IEEE Senior Member, an Associate Life Member of the Computer Society of India (CSI), and a Life Member of the Indian Society for Technical Education (ISTE).
Siddhartha Bhattacharyya is a Senior Researcher in the Faculty of Electrical Engineering and Computer Science of VSB Technical University of Ostrava, Czech Republic. He is also serving as the Scientific Advisor of Algebra University College, Zagreb, Croatia. Prior to this, he served as the Principal of Rajnagar Mahavidyalaya, Rajnagar, Birbhum. He was a professor at CHRIST (Deemed to be University), Bangalore, India, and also served as the Principal of RCC Institute of Information Technology, Kolkata, India. He is the recipient of several coveted national and international awards. He received the Honorary Doctorate Award (D. Litt.) from the University of South America and the SEARCC International Digital Award ICT Educator of the Year in 2017. He was appointed as the ACM Distinguished Speaker for the tenure 2018-2020. He has been appointed as the IEEE Computer Society Distinguished Visitor for the tenure 2021-2023. He has co-authored six books, co-edited 75 books, and has more than 300 research publications in international journals and conference proceedings to his credit.
Blockchain Technology for Emerging Applications: A Comprehensive Approach explores the most recent theories and applications of the execution of blockchain technology. Chapters look at a wide range of application areas including healthcare, digital physical frameworks, web of-things, smart transportation frameworks, interruption identification frameworks, electronic ballot-casting, architecture, smart urban communities, and digital rights administration. This book addresses the engineering, plan objectives, difficulties, constraints, and potential answers for blockchain-based frameworks. It also looks at blockchain-based design perspectives of these intelligent architectures for evaluating and interpreting real-world trends. Chapters expand on different models which have shown considerable success in dealing with an extensive range of applications, including their ability to extract complex hidden features and learn efficient representation in unsupervised environments for blockchain security pattern analysis. Chapters cover a broad range of tools and techniques and are balanced between theoretical and practical coverage of a wide range of issues in blockchain technology.
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