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(JRN Rajasthan Vidyapeeth University, India)
Dr. Bharat Singh Deora is an Associate Professor in the Department of Computer Science & IT at JRN Rajasthan Vidyapeeth University, Udaipur, with over three decades of distinguished academic and research experience. He holds a Ph.D. in Computer Science and an impressive array of postgraduate qualifications spanning Computer Science, Geology, and Economics - reflecting a rare breadth of scholarly curiosity. Dr. Deora has published extensively in leading international journals and conferences, with contributions appearing in IEEE Xplore, ACM Digital Library, Springer, and Taylor & Francis. He holds five patents, including one granted by the Australian Government. Dr. Deora has guided nine doctoral scholars and four M.Phil. students to the award of their degrees, and has authored three widely used textbooks on Python programming, Web technologies, and Data analytics. He has delivered keynote addresses at international conferences across India and at Brunel University, London, and is a life member of prestigious professional bodies including IEEE, ACM, the Computer Society of India, and the Institution of Engineers (India).
This book presents a comprehensive exploration of Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT), Cloud Computing, and emerging intelligent technologies for developing smart and sustainable engineering systems. The chapters cover diverse applications including intelligent transportation, smart parking management, urban surveillance, precision agriculture, renewable energy management, industrial automation, structural health monitoring, cybersecurity, next-generation communication networks, and quantum machine learning. The book highlights innovative methodologies, practical implementations, and future research directions that contribute to operational efficiency, environmental sustainability, safety enhancement, and intelligent decision-making. It serves as a valuable resource for researchers, academicians, engineers, industry professionals, and policymakers interested in advancing AI-driven engineering solutions for sustainable development.