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(JIMS Engineering Management Technical Campus (JEMTEC), India)
Dr. Meena Sachdeva is an Assistant Professor in the Department of Computer Applications at JIMS Engineering Management Technical Campus (JEMTEC), Greater Noida, affiliated with Guru Gobind Singh Indraprastha University (GGSIPU), Delhi. She has over 19 years of teaching experience in higher education and is actively involved in teaching, academic administration, curriculum development, and student mentoring. She holds a Ph.D. in Computer Science, with research focused on IoT security, trustworthy authentication mechanisms, intrusion detection systems, machine learning, and network security. Her doctoral research proposed an improved trust-based authentication framework for IoT-enabled networks by integrating machine learning techniques with secure authentication and intrusion detection models. In addition to her academic and research contributions, Dr. Sachdeva is actively engaged in mentoring students, organizing technical events, promoting industry–academia interaction, and fostering innovation and skill development among learners. She is committed to advancing research and delivering quality education in emerging areas of computer science and information technology.
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.