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(Academy of Maritime Education and Training (AMET), India)
Dr. S. Muthurajan is an Assistant Professor in the Department of Marine Engineering at the Academy of Maritime Education and Training (AMET) deemed to be University, Chennai. He teaches Electrical and Electronics Engineering subjects for marine engineering students, including power electronics, automation, and industrial electronics. He is actively engaged in teaching, curriculum development, and academic activities related to engineering education.His academic interests include artificial intelligence, automation technologies, intelligent systems, and the application of emerging digital technologies in engineering and maritime education. He is also involved in research, academic publications, and collaborative initiatives aimed at integrating modern technological advancements into engineering learning and practice.
This book explores the integration of Artificial Intelligence (AI), Internet of Things (IoT), Cloud Computing, Machine Learning (ML), and Deep Learning (DL) in developing intelligent and data-driven educational ecosystems. It presents innovative approaches for smart campus management, learning analytics, student performance prediction, automated assessment, intelligent tutoring systems, virtual laboratories, and educational decision-making. The book also addresses key challenges related to security, privacy, scalability, and ethical AI adoption while highlighting emerging technologies that support personalized, adaptive, and future-ready learning environments. It serves as a valuable resource for researchers, educators, policymakers, and practitioners interested in advancing smart education systems.
AI-Driven Fraud Detection and Financial Crime Prevention in Cloud-Enabled IoT and E-Commerce Ecosystems presents a comprehensive exploration of artificial intelligence techniques for securing modern digital financial systems. The book covers Machine Learning, Deep Learning, Explainable AI, Blockchain, Federated Learning, Big Data Analytics, and Behavioral Analytics for detecting and preventing financial fraud across cloud-enabled IoT, banking, and e-commerce environments. It serves as a valuable reference for researchers, academicians, students, and industry professionals interested in AI-driven cybersecurity, financial crime analytics, and intelligent financial security solutions.
Smart Computing Technologies: Artificial Intelligence, Cybersecurity, and Cloud Computing presents a comprehensive overview of emerging intelligent computing technologies and their applications across modern digital environments. The book explores Artificial Intelligence, Machine Learning, Deep Learning, Explainable AI, Internet of Things, Edge Computing, Cloud Computing, Big Data Analytics, Blockchain, Wireless Sensor Networks, Software-Defined Networking, and AI-driven cybersecurity. It further examines applications in engineering, healthcare, smart cities, autonomous systems, environmental monitoring, weather forecasting, and intelligent decision support. The book also addresses Generative AI, hybrid AI models, intrusion detection, secure communication, energy-efficient networking, and scalable cloud-based intelligence. Emerging directions involving AI-native 6G networks, quantum computing, quantum machine learning, intelligent edge computing, federated intelligence, and autonomous communication networks are discussed to provide perspectives on next-generation computing. Overall, the book highlights the integration of intelligent technologies for developing secure, scalable, efficient, sustainable, and autonomous computing systems.