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(National Institute of Technology (NIT), India)
Dr. Ravindra Kumar Chouhan is a Senior Technical Officer at the Central Computer Centre, National Institute of Technology (NIT) Raipur, India, with over 20 years of experience in information technology, networking, cybersecurity, high-performance computing (HPC), artificial intelligence, and enterprise IT infrastructure. He earned his Ph.D. from NIT Raipur, where his research focused on Software Defined Networking (SDN) and machine learning-based network security solutions. His current research interests include artificial intelligence, machine learning, deep learning, and cybersecurity. Dr. Chauhan has published research papers in reputed SCI journal and IEEE international conferences and has authored technical books in computer programming. He has successfully designed and implemented large-scale networking, data centre, and HPC infrastructures while leading several institutional digital transformation initiatives. His research emphasizes the development of innovative, scalable, and intelligent technologies that address real-world challenges and promote sustainable technological advancement.
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.