
Sustainable and Advanced Applications of Blockchain in Smart Computational Technologies
Description
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* Covers the recent advancements in Blockchain technology
* Discusses the applications of Blockchain technology for real life problems
* Address the challenges related to implementation of Blockchain technology
* Includes case studies
* Includes the latest trends and area of research in Blockchain Technology
This book is primarily aimed at graduates, researchers and professions working in the field of blockchain technology.
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Persons
Dr. Shubham Tayal is an Assistant Professor in the Department of Electronics and Communication Engineering at SR University, Warangal, India. He has more than 6 Years of academic/research experience teaching at the UG and PG level. He has received his Ph.D. in Microelectronics & VLSI Design from National Institute of Technology, Kurukshetra, M.Tech (VLSI Design) from YMCA university of Science and Technology, Faridabad and B.Tech (Electronics and Communication Engineering) from MDU, Rohtak. He has qualified GATE (2011,2013,2014) and UGC-NET (2017). He has published more than 25 research papers in various International journals and conferences of repute and many papers are under review. He is on the editorial and reviewer panel of many SCI/SCOPUS indexed international journals and conferences. Currently, He is editor of 4 books from CRC Press (Taylor & Francis Group, USA). He acted as keynote speaker and delivered professional talks on various forums. He is a member of various professional bodies like IEEE, IRED etc. He is on the advisory panel of many international conferences. He is a recipient of Green ThinkerZ International Distinguished Young Researcher Award 2020. His research interests include simulation and modelling of Multi-gate semiconductor devices, Device-Circuit co-design in digital/analog domain, machine learning and IOT.
Dr. Susheela Dahiya is currently working as an Assistant Professor (Selection Grade) in the School of Computer Science at the University of Petroleum & Energy Studies, Dehradun, Uttarakhand, India. She has received her M. Tech. (Computer Science & Engineering) in 2008 and Ph.D. degree in 2015 from the Indian Institute of Technology Roorkee. She had also qualified GATE and NET in Computer Science. She has more than 9 years of academic/research/industry experience. Her research interests include Image & Video Processing, IoT, Cyber Security, Cloud Computing, and Deep Learning. She has authored several research papers in renowned conferences, Scopus & SCI journals.
Ayodeji Olalekan Salau received the B.Eng. in Electrical/Computer Engineering from the Federal University of Technology, Minna, Nigeria. He received the MSc and Ph.D. degree from the Obafemi Awolowo University, Ile-Ife, Nigeria. His research interests include computer vision, image processing, signal processing, machine learning, power systems technology, and nuclear engineering. Dr. Salau serves as a Reviewer for several reputable international journals. His research has been published in many reputable international conferences, book chapters, and major international journals. He is a registered Engineer with the Council for the Regulation of Engineering in Nigeria (COREN), a member of the International Association of Engineers (IAENG), and a recipient of the Quarterly Franklin Membership with ID number CR32878 given by the Editorial Board of London Journals Press in 2020 for top quality research output. More recently, Dr. Salau's paper was awarded the best paper of the year 2019 in Cogent Engineering. Currently, Dr. Salau works at Afe Babalola University in the Department of Electrical/Electronics and Computer Engineering. In addition, he is the recipient of the International Research Award on New Science Inventions (NESIN) under the category of "Best Researcher Award" given by ScienceFather with ID number 9249, 2020.
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