ARIVANANTHAM THANGAVELU, Dr. SUSHIL KUMAR, Dr. M. N. QUADRI, Dr. S. MUTHURAJAN
Indexed In: Google scholar
Release Date: 19/03/2026 | Copyright:©2026 | Pages: 602
ISBN10: 9349552574 | ISBN13: 9789349552579
This book explores the transformative potential of Artificial Intelligence (AI) and other cutting-edge technologies in shaping the future of educational institutions. It examines how AI-driven solutions are being integrated into smart campuses to enhance academic performance, streamline administrative processes, and foster a sustainable and innovative learning environment. The book covers a wide range of topics, including AI-powered learning platforms, predictive analytics for student performance, and personalized learning experiences that adapt to individual needs. It also delves into the use of Internet of Things (IoT) devices and data-driven technologies for improving campus management, from energy efficiency to security and resource optimization. With a focus on sustainability, the book highlights how AI and smart technologies are helping campuses reduce their carbon footprint, promote green practices, and create a more sustainable infrastructure. Through case studies and expert insights, this book offers a vision of how AI can contribute to building smarter, more efficient, and forward-thinking educational ecosystems, paving the way for academic excellence and long-term innovation in higher education.
This book provides an in-depth exploration of the role of Artificial Intelligence (AI) and advanced technologies in transforming traditional educational institutions into smart campuses. It covers how AI-driven solutions enhance academic excellence through personalized learning experiences, adaptive learning systems, and predictive analytics for student success. The book also examines the integration of IoT, data analytics, and cloud computing to improve campus management, streamline administrative functions, and optimize resources for sustainability. Additionally, it explores the potential of AI in fostering innovation in curriculum delivery, smart classrooms, and efficient energy use, while promoting eco-friendly practices across the campus. Through real-world examples and expert insights, this book offers a comprehensive look at how AI is revolutionizing higher education, making campuses smarter, more sustainable, and better equipped to meet the evolving needs of students, faculty, and administrators.
Arivanantham Thangavelu is working as Assistant Professor – Computer Engineering Department in Dr. D. Y. Patil College of Engineering and Innovation, Varale, Pune, Maharashtra. He has obtained his B.E (ECE) degree from Madurai Kamaraj University and M.S (CSE) degree from Bharathiar University, Coimbatore, Tamilnadu in 2004. He is pursuing his part time Ph.D. in Computer Science and Engineering in Monad University, Uttar Pradesh. He has total 19 years of teaching experience. He published Three Books, Three Book Chapters, Three Copy Rights and Four Patents. His teaching career has helped students to achieve their goals in the field of Computer / IT Engineering. He has published 18 papers in National / International Journals / International Conferences Proceedings. His current research focus in the area of Machin Learning, Data Science and Artificial Intelligence.
Dr. Sushil Kumar is an Assistant Professor, Department of Education, BPSMV, Haryana, with over a decade of experience in Teacher Education, research, and academic leadership. A Ph.D. in Education, he contributes to curriculum innovation, digital pedagogy, and NEP 2020-aligned reforms. His expertise includes Curriculum Development, Educational Technology, Pedagogy of Science, and Research Methodology. He developed MOOC-based Blended Learning Models and SAMAVESH, a stipend-based experiential internship framework. His research focuses on AI in Education, adaptive learning, and ethical technology integration, promoting future-ready, value-based teacher preparation.
Dr. M. N. Quadri is currently serving as Assistant Professor and Head of the Department of Computer Science at Nilkanthrao Shinde Science & Arts College, Bhadrawati, Maharashtra. He has over 25 years of teaching experience and previously worked at Yeshwant Mahavidyalaya, Nanded from 2000 to 2016, where he also guided Ph.D. coursework students as a resource person. He holds a B.Sc. and M.Sc. in Computer Science from Dr. Babasaheb Ambedkar Marathwada University, an M.Phil. from Yashwantrao Chavan Open University, and a Ph.D. from Swami Ramanand Teerth Marathwada University. His research interests include Data Mining, Genetic Algorithms, Computer Networks, IoT, and Machine Learning. He is a recognized Ph.D. supervisor at Gondwana University, Gadchiroli, where four scholars are currently working under his supervision and two have been awarded Ph.D. degrees. Dr. Quadri has published several research papers in reputed national and international journals and conferences. He is also actively involved in academic leadership as a member of Boards of Studies, MOOC committees, and technical program committees, and has successfully organized international and national conferences.
Dr. S. Muthurajan teaches Electrical and Electronics Engineering subjects in the Department of Marine Engineering in Academy of Maritime Education and Training (AMET), Deemed to be University, ECR, Kanathur, Chennai. He has completed his B.E in National Engineering College, Kovilpatti. He did his Post Graduate in Industrial Electronics from the Maharaja Sayajirao University of Baroda, Gujarat and he was awarded a Ph.D from St. Peter’s Institute of Higher Education and Research, Chennai. He has published various technical papers in reputed journals. His experience in teaching career helps the students enhance their Engineering knowledge. As editor, he curated global research contributions, ensured technical coherence across chapters, and shaped the thematic framework aligning AI innovation with sustainability goals in higher education.
