Blockchain and AI in Shaping the Modern Education System (eBook, ePUB)

Redaktion: Kumar, Randhir; Subheesh, N. P.; C. C., Sobin; Kumar, Prabhat

• Format: ePub

Produktbeschreibung

The current centralized education system is highly restrictive and riddled with various challenges such as single point of failure, data privacy, security, transparency, adaptive learning etc. To address this, a newer/modern educational system provides fast and efficient data analytics is imperative for the modern education system.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 21. Mai 2025
• Englisch
• ISBN-13: 9781040368190
• Artikelnr.: 73703726

Autorenporträt

Randhir Kumar has a Ph.D. from the Department of Information Technology, NIT Raipur, India. He completed his Postdoctoral from Department of Electrical Engineering, IIT Hyderabad, and is now an Assistant Professor, Department of Computer Science and Engineering, SRM University, AP, India. He has 7 years of teaching and 4 years of research experience. He has published his research articles in leading journal and conferences. His paper has been published in some of the high impact factor journals such as - IEEE Internet of Things, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Green Communications and Networking, IEEE Transactions on Industrial Informatics, IEEE Intelligent Systems, IEEE Consumer Electronics Magazine, IEEE COMSNETs, IEEE ICC, MobiCom, GlobeCom, Computer Networks, JPDC, and Transactions on Emerging Telecommunications Technologies. His paper was recognized as most cited paper of year 2020-2021 in Transactions on Emerging Telecommunications Technologies. He received best paper presentation award in one of the reputed conferences i.e., GLOBECOM in the year 2022. He has qualified UGC-NET in the year of 2018. He has been awarded as Best Engineer Trainee by Honeywell Technology, India in the year 2009. He is an active reviewer of many of the reputed journals like IEEE TDSC, IEEE TGCN, IEEE TNSM, IEEE TII, IEEE Access, Journal of Super Computing, Journal of Ambient Intelligent and Humanized Computing, and International Journal of Information Security and Privacy, IGI global. His research interest includes Cryptographic Techniques, Information Security, Blockchain Technology, Digital Twin and Services, Machine Learning, and Web Mining. He is also a member of IEEE, IAENG. Prabhat Kumar has a Ph.D. in Information Technology, NIT, Raipur, India, under the prestigious fellowship of Ministry of Human Resource and Development (MHRD) funded by the Government of India in 2022. Thereafter, he worked with Indian Institute of Technology Hyderabad, India, as a Postdoctoral Researcher under project "Development of Indian Telecommunication Security Assurance Requirements for IoT devices". He is currently working as Postdoctoral Researcher with the Department of Software Engineering, LUT School of Engineering Science, LUT University, Lappeenranta, Finland. He has several contributions in the area of Machine Learning, Deep Learning, Federated Learning, Big Data Analytics, Cybersecurity, Blockchain, Cloud Computing, Internet of Things, Digital Twin and Software Defined Networking. He has authored or co-authored over 28+ top-tier journal/conference articles, including 13+ IEEE TRANSACTIONS/Magazine papers. One of his Ph.D. publications was recognized as a top cited article by WILEY in 2020-21. Some of his research findings are published in top cited journals and conferences, such as IEEE TII, IEEE TITS, IEEE TNSE, IEEE TGCN, IEEE IoT-J, IEEE Intelligent Systems, IEEE Consumer Electronics Magazine, IEEE MICRO, JSA (Elsevier), ComCom (Elsevier), Comnet (Elsevier), JPDC (Elsevier), ICDCN, IEEE ICC, ACM MobiCom and IEEE GLOBECOM. He is an Expert Evaluator of top scientific journals and conferences, including IEEE TII, IEEE TITS, IEEE TNSE, IEEE TGCN, IEEE JBHI, IEEE IoTJ, IEEE Network Magazine, IEEE IoT Magazine, IEEE Access, ACM TALLIP, ComCom and IEEE ICC. He is also an IEEE Member. Sobin C.C. has vast expertise in studies of "Delay Tolerant Networks (DTNs)", "Wireless Networks", and "Internet of Things (IoT)". Dr Sobin's M. Tech and PhD research from premier institutes in India, such as IIT Madras and IIT Roorkee enabled him to acquire in-depth knowledge in developing routing protocols for DTNs and designing IoT-based applications. Also, well-versed in building IoT applications over DTN in case of limited Internet connectivity. PI published articles relevant to his area of expertise in leading reputed journals in the specified field (Journal of Network and Computer Applications, Wireless Personal Communications, International Journal of Communication Systems, etc.). N. P. Subheesh is the Chairperson, Educational Activities of IEEE Education Society, Kerala, India. He received his bachelor's degree in applied electronics and instrumentation engineering from the University of Calicut, India, in 2004, and master's degree in media and sound engineering from Indian Institute of Technology Kharagpur, in 2013. He is currently completing his PhD degree in Engineering Education at the Indian Institute of Technology Madras, Chennai. He has authored or co-authored more than ten articles in peer-reviewed journals and international conferences. His research interests focus on Information and Communication Technology (ICT) in education, Technology-Enhanced Learning (TEL), Artificial Intelligence and Machine Learning (AI & ML) techniques in education, Engineering Education Research (EER), and assessment and evaluation in higher education. He is a member of the IEEE, IEEE Education Society, and the Portuguese Society for Engineering Education (SPEE).

Inhaltsangabe

Preface. Blockchain and AI in Shaping the Modern Education System.
Blockchain and AI for Educational Data Analytics in the Modern Education
System. Adaptive Learning in Modern Education Systems Leveraged by AI and
Blockchain. Artificial Intelligence in Modern Education: Empowering
Educators and Learners Beyond Automation. Need of AI in Modern Education:
In the Eyes of Explainable AI (xAI). Deep Learning Approaches for
Intelligent Cyber Threat Detection in Modern Education Systems. Federated
Learning-Based Security Analytics Education System. Strengthening the
Digital Skills of Finnish and Polish Students by Learning Low-code Tools
for Intelligent Automation. Transformative Fusion: Leveraging Blockchain
and AI for Educational Data Analytics in Modern Education Systems.
Exploring the Awareness of Artificial Intelligence in Sustainable Higher
Education. Artificial Intelligence Based Personalised Learning for Chemical
Engineering Education. Modern Higher Education System with Blockchain-based
Infrastructure Focusing on Improving the Efficacy of Financial Operations.
Index