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(Guru Nanak Dev Engineering College, India)
Dr. Amit Jain is working as an Assistant Professor in the Department of Computer Science and Engineering in Guru Nanak Dev Engineering College, Ludhiana, Punjab. He is graduated in Computer Science and Engineering from Punjab Technical University, Jalandhar, Punjab, India. He secured Master of Technology in Computer Science and Engineering from Punjab Technical University, Jalandhar, Punjab, India. He has completed his Ph.D in the field of Network Security and Cryptography from Shri JJT University, Jhunjhunu, Rajasthan, India. He is in teaching profession from more than 16 years. He has presented number of research papers or articles in various National and International journals, conferences and symposiums. Also, he has published five patents including two Design Patents in different domains. His main area of interest includes Network Security and Cryptography, Data Mining, Digital Image Processing, Wireless Sensor Networks and Internet of Things. He has also authored a book titled Data Mining: Concepts and Techniques having valid ISBN number. He have also been awarded by ISTE Best Teacher Award for four different years (2014, 2016, 2022, 2023) by Indian Society of Technical Education, New Delhi, India. He is also Life Time Member of two professional bodies viz. Institution of Electronics and Telecommunication Engineers and Indian Society of Technical Education.
The rapid advancement of Artificial Intelligence and emerging digital technologies is transforming conventional engineering systems into intelligent, interconnected, adaptive, and increasingly autonomous environments. This book presents a comprehensive exploration of intelligent engineering systems by integrating Artificial Intelligence, Machine Learning, Deep Learning, Internet of Things, Cloud and Edge Computing, Digital Twins, Robotics, Computer Vision, Reinforcement Learning, and advanced data analytics. It covers fundamental concepts, computational methods, technological architectures, and real-world applications across smart manufacturing, predictive maintenance, electric vehicles, autonomous transportation, healthcare, precision agriculture, smart cities, cybersecurity, robotics, and renewable energy. The book also examines emerging approaches such as federated learning, explainable AI, 5G/6G technologies, and intelligent decision-support systems, while addressing challenges related to scalability, cybersecurity, privacy, interoperability, computational complexity, explainability, and sustainable deployment.