AI, Machine Learning, and Blockchain for Next-Generation Spectrum Management presents a forward-looking exploration of how artificial intelligence, machine learning, and blockchain technologies are transforming spectrum management in the era of 5G and emerging 6G networks. Bridging engineering innovation with regulatory insight, it offers a comprehensive guide to dynamic, secure, and decentralized spectrum strategies. With real-world case studies, simulation-validated architectures, and actionable policy frameworks, the book serves researchers, engineers, and policymakers shaping the future of wireless communication infrastructure.
Key Features
- Uniquely synthesizes AI, ML, and blockchain for intelligent spectrum governance
- Covers real-world deployments including CBRS, smart grid systems, and IoT-based intelligent transportation networks
- Comprehensively addresses both technical architectures and regulatory frameworks, including 3GPP Release 18, ETSI, and Ofcom standards
- Globally integrates perspectives from academia, industry, and policy institutions.
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.
