Ai, Machine Learning, and Blockchain for Next-Generation Spectrum Management
暫譯: 下一世代頻譜管理的 AI、Machine Learning 與 Blockchain

AI, Machine Learning, and Blockchain for Next-Generation Spectrum Management 探討在 5G 與新興 6G 網路時代，人工智慧（AI）、機器學習（ML）與區塊鏈技術如何革新頻譜管理。全書結合工程創新與監管洞見，完整介紹動態、安全且去中心化的頻譜策略。透過真實世界案例研究、經模擬驗證的架構，以及可實際採用的政策框架，本書為致力於塑造未來無線通信基礎設施的研究人員、工程師與政策制定者提供重要參考。

主要特色

• 獨特整合 AI、ML 與區塊鏈，實現智慧化頻譜治理
• 涵蓋包括 CBRS、智慧電網系統，以及以 IoT 為基礎的智慧運輸網路等真實世界部署案例
• 全面探討技術架構與監管框架，包括 3GPP Release 18、ETSI 與 Ofcom 標準
• 整合來自學術界、產業界與政策機構的全球觀點

Vinod Patil holds a Ph.D. in Electronics Engineering with specialization in Wireless Communication. His core research areas include wireless communication, cognitive radio, spectrum management, and smart grid technologies. With a strong academic background and over 18 years of teaching and research experience, Dr. Patil has made significant contributions to the field through research, innovation, and academic leadership.

He has published more than 30 papers in reputed Scopus and Web of Science-indexed journals and international conferences and holds granted and published patents in areas such as antenna design, smart grid management, and IoT-based systems. Dr. Patil is a recognized Ph.D. guide and reviewer for leading journals including IEEE Transactions and Taylor & Francis publications. His research achievements include developing cognitive radio testbeds, proposing energy-efficient routing algorithms for WSNs, and advancing green communication models.

Amol Krishnat Kadam is a Ph.D. in Computer Engineering and is recognized for his expertise in machine learning and software engineering. With an extensive academic and research background, he has secured major research grants from UGC and AICTE, including a ₹12 lakh project on software testing laboratory design and a project on wireless network security.

He has authored 37 international journal papers, with 20 indexed in Scopus and 2 in Web of Science and has presented his work at numerous international conferences. His current research supervision includes six Ph.D. scholars working on topics such as software defect prediction, gesture recognition, and CNN-based agricultural analysis. He also holds several patents, including one granted and others published or filed, reflecting innovation in smart surveillance, energy monitoring, and robotics.

Rajesh S. Prasad holds a Ph.D. in Computer Science and Engineering. With an academic career spanning over 28 years, he has held prestigious positions including Principal, Dean, and Professor at various renowned institutions. His research areas include artificial intelligence, machine learning, deep learning, cybersecurity, and smart healthcare systems.

Dr. Prasad has authored over 130 research publications including 66 journal articles, 55 conference papers, 12 book chapters, and 4 edited books indexed in Scopus. He has guided 7 Ph.D. scholars and reviewed more than a dozen Ph.D. theses. His contributions include 3 granted patents, 5 published/filed patents, 13 copyrights, and multiple funded projects from IEEE and academic institutions. His international collaborations, such as with the University of Oxford in cancer prediction research, and his roles on editorial and advisory boards, demonstrate his leadership and continued impact on global research and education.

Suresh Shanmugasundaram is currently a Lecturer at the University of Wales Trinity Saint David, UK. He holds a Ph.D. in Information and Communication Engineering and has over 20 years of experience in academia and research. His academic journey includes key roles in Indian and UK institutions, with expertise spanning Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, and Cloud Computing.

Dr. Shanmugasundaram has authored more than 70 research papers in reputed international journals and conferences, many indexed in Scopus and Web of Science. In addition to mentoring doctoral scholars and participating in funded research projects, he has served as a reviewer and editorial board member for several international journals, reflecting his commitment to advancing global research in intelligent computing systems.

Vinod Pachghare is an Associate Professor in the Department of Computer Science and Engineering at COEP Technological University, Pune. He holds a Ph.D. in Computer Engineering and brings over two decades of academic experience in teaching, research, and mentoring. His core areas of expertise include cybersecurity, network security, cryptography, and machine learning, and he has played a significant role in shaping advanced curricula and guiding multiple postgraduate and doctoral students.

He is widely published, with numerous papers in reputed international journals and conferences. He is the author of acclaimed books on network security and computer architecture, adopted by various technical universities across India. Recognized for his academic contributions, he is actively involved in reviewing scholarly publications and serving on academic committees. His work bridges foundational theory with real-world applications, advancing both research and pedagogical innovations in computer science.

Vinod Patil 擁有 Electronics Engineering 博士學位，專攻 Wireless Communication。他的核心研究領域包括無線通信、認知無線電、頻譜管理與智慧電網技術。Vinod Patil 博士具備深厚的學術背景，並擁有超過 18 年的教學與研究經驗，透過研究、創新與學術領導，為該領域做出重要貢獻。

他已在知名的 Scopus 與 Web of Science 索引期刊及國際會議中發表超過 30 篇論文，並持有及已公開發表多項專利，研究領域涵蓋天線設計、智慧電網管理與 IoT 系統。Vinod Patil 博士是獲認可的博士生指導教授與學術審稿人，曾為包括 IEEE Transactions 及 Taylor & Francis 出版品在內的重要期刊提供審稿服務。他的研究成果包括開發認知無線電測試平台、提出適用於 WSN 的節能路由演算法，以及推動綠色通信模型的發展。

Amol Krishnat Kadam 擁有 Computer Engineering 博士學位，並以 machine learning 與 software engineering 專長著稱。他具備豐富的學術與研究背景，曾獲得 UGC 與 AICTE 提供的重要研究經費，包括一項金額為 ₹12 lakh（120 萬印度盧比）的 software testing laboratory 設計計畫，以及一項 wireless network security 研究計畫。

他已撰寫 37 篇國際期刊論文，其中 20 篇收錄於 Scopus，2 篇收錄於 Web of Science，並曾在多場國際會議中發表研究成果。目前，他指導 6 名博士研究生，研究主題包括 software defect prediction、gesture recognition，以及以 CNN 為基礎的 agricultural analysis。他也持有多項專利，其中包括一項已獲授權的專利，以及其他已公開或已申請的專利，展現其在 smart surveillance、energy monitoring 與 robotics 領域的創新成果。

Rajesh S. Prasad 擁有 Computer Science and Engineering 博士學位。其學術生涯超過 28 年，曾在多所知名機構擔任 Principal、Dean 與 Professor 等重要職務。他的研究領域包括 artificial intelligence、machine learning、deep learning、cybersecurity，以及 smart healthcare systems。

Prasad 博士已發表超過 130 篇研究成果，包括 66 篇期刊論文、55 篇會議論文、12 篇書籍章節，以及 4 本收錄於 Scopus 的編著書籍。他曾指導 7 名博士研究生，並審閱超過十篇博士論文。他的學術貢獻包括 3 項已獲授權的專利、5 項已公開或已申請的專利、13 項著作權，以及多項由 IEEE 與學術機構資助的研究計畫。他也積極參與國際合作，例如與 University of Oxford 合作進行癌症預測研究；此外，他在編輯委員會與學術顧問委員會中擔任的職務，也展現了他在全球研究與教育領域的領導力及持續影響力。

Suresh Shanmugasundaram 目前任職於英國 University of Wales Trinity Saint David，擔任講師。他擁有 Information and Communication Engineering 博士學位，並在學術與研究領域累積超過 20 年的經驗。他的學術歷程涵蓋印度與英國多所機構的重要職務，專長包括 Artificial Intelligence、Machine Learning、Deep Learning、Data Analytics 與 Cloud Computing。

Shanmugasundaram 博士已在知名國際期刊與會議中發表超過 70 篇研究論文，其中許多論文收錄於 Scopus 與 Web of Science。除了指導博士研究生及參與受資助的研究計畫之外，他也曾擔任多本國際期刊的審稿人與編輯委員，展現其致力於推動 intelligent computing systems 全球研究發展的精神。

Vinod Pachghare 是 COEP Technological University, Pune 的 Computer Science and Engineering 系副教授。他擁有 Computer Engineering 博士學位，並在教學、研究與指導學生方面累積超過 20 年的學術經驗。他的核心專長領域包括 cybersecurity、network security、cryptography 與 machine learning，並在規劃進階課程，以及指導多名研究所與博士研究生方面扮演重要角色。

他已在多本知名國際期刊及會議中發表大量研究論文。他也是多本 network security 與 computer architecture 專業書籍的作者，這些書籍已獲印度各地多所技術大學採用。由於在學術領域的貢獻，他受到廣泛肯定，並積極參與學術出版品審稿及學術委員會工作。他的研究將基礎理論與實際應用相互結合，持續推動 computer science 領域的研究與教學創新。