Blockchain and AI in Shaping the Modern Education System
暫譯: 區塊鏈與人工智慧在塑造現代教育體系中的角色

Kumar, Randhir, Kumar, Prabhat, C. C., Sobin

  • 出版商: CRC
  • 出版日期: 2025-05-20
  • 售價: $5,580
  • 貴賓價: 9.5$5,301
  • 語言: 英文
  • 頁數: 278
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032801700
  • ISBN-13: 9781032801704
  • 相關分類: 人工智慧區塊鏈 Blockchain
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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.

商品描述(中文翻譯)

目前的集中式教育系統高度限制,並且面臨許多挑戰,例如單點故障、數據隱私、安全性、透明度、適應性學習等。為了解決這些問題,提供快速且高效的數據分析的新型/現代教育系統對於現代教育系統來說是必不可少的。

作者簡介

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).

作者簡介(中文翻譯)

**Randhir Kumar** 擁有印度拉伊普爾國立科技學院 (NIT Raipur) 資訊科技系的博士學位。他在印度海得拉巴印度理工學院 (IIT Hyderabad) 電機工程系完成了博士後研究,現在是印度 SRM 大學計算機科學與工程系的助理教授。他擁有 7 年的教學經驗和 4 年的研究經驗。他的研究文章已發表於多個領先的期刊和會議上。他的論文發表在一些高影響因子的期刊上,例如: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 和 Transactions on Emerging Telecommunications Technologies。他的論文在 2020-2021 年被評為 Transactions on Emerging Telecommunications Technologies 的最被引用論文。他在 2022 年的 GLOBECOM 會議中獲得最佳論文報告獎。他在 2018 年通過了 UGC-NET 考試。2009 年,他被 Honeywell Technology, India 評選為最佳工程實習生。他是多個知名期刊的活躍審稿人,如 IEEE TDSC、IEEE TGCN、IEEE TNSM、IEEE TII、IEEE Access、Journal of Super Computing、Journal of Ambient Intelligent and Humanized Computing 以及 International Journal of Information Security and Privacy, IGI global。他的研究興趣包括加密技術、資訊安全、區塊鏈技術、數位雙胞胎與服務、機器學習和網路挖掘。他也是 IEEE 和 IAENG 的成員。

**Prabhat Kumar** 擁有印度拉伊普爾國立科技學院 (NIT Raipur) 的資訊科技博士學位,並於 2022 年獲得印度政府人力資源與發展部 (MHRD) 的獎學金。此後,他在印度海得拉巴印度理工學院 (IIT Hyderabad) 擔任博士後研究員,參與「為 IoT 設備開發印度電信安全保證要求」的項目。目前,他在芬蘭拉彭蘭塔 LUT 大學的 LUT 工程科學學院軟體工程系擔任博士後研究員。他在機器學習、深度學習、聯邦學習、大數據分析、網路安全、區塊鏈、雲計算、物聯網、數位雙胞胎和軟體定義網路等領域有多項貢獻。他已發表或共同發表超過 28 篇頂級期刊/會議文章,包括 13 篇 IEEE TRANSACTIONS/雜誌論文。他的一篇博士論文於 2020-21 年被 WILEY 評選為高被引用文章。他的一些研究成果發表在高被引用的期刊和會議上,如 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 和 IEEE GLOBECOM。他是多個頂級科學期刊和會議的專家評審,包括 IEEE TII、IEEE TITS、IEEE TNSE、IEEE TGCN、IEEE JBHI、IEEE IoTJ、IEEE Network Magazine、IEEE IoT Magazine、IEEE Access、ACM TALLIP、ComCom 和 IEEE ICC。他也是 IEEE 的成員。

**Sobin C.C.** 在「延遲容忍網路 (DTNs)」、「無線網路」和「物聯網 (IoT)」的研究方面擁有豐富的專業知識。Sobin 博士在印度的頂尖學院如 IIT Madras 和 IIT Roorkee 獲得的碩士和博士研究使他在開發 DTNs 的路由協議和設計基於 IoT 的應用方面獲得了深入的知識。此外,他在有限的網際網路連接情況下,熟練於在 DTN 上構建 IoT 應用。他在相關領域的專業期刊上發表了多篇文章,如 Journal of Network and Computer Applications、Wireless Personal Communications、International Journal of Communication Systems 等。

**N. P. Subheesh** 是印度喀拉拉邦 IEEE 教育學會的教育活動主席。他於 2004 年在印度卡利卡特大學獲得應用電子與儀器工程學士學位,並於 2013 年在印度理工學院卡哈爾古爾獲得媒體與聲音工程碩士學位。目前,他正在印度理工學院馬德拉斯 (IIT Madras) 完成工程教育的博士學位。他已在同行評審的期刊和國際會議上發表或共同發表超過十篇文章。他的研究興趣集中在教育中的資訊與通信技術 (ICT)、技術增強學習 (TEL)、教育中的人工智慧與機器學習 (AI & ML) 技術、工程教育研究 (EER) 以及高等教育中的評估與評價。他是 IEEE、IEEE 教育學會和葡萄牙工程教育學會 (SPEE) 的成員。

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