Dr. S. Menaka, Prof. Vinay Saxena, Dr. Parul Saxena, Shouvik Chattopadhyay
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Release Date: 2026 | Copyright:©2026 | Pages: 528
ISBN10: 0 | ISBN13: 0
Advanced Engineering Applications of Machine Learning, Deep Learning, and IoT explores the transformative integration of Machine Learning (ML), Deep Learning (DL), and the Internet of Things (IoT) in modern engineering. This book covers how these technologies are revolutionizing industries by enabling intelligent, adaptive systems that can process vast amounts of data, learn from it, and make real-time decisions. It provides a comprehensive overview of their applications in diverse engineering fields, including mechanical, electrical, civil, and biomedical engineering. With expert contributions, this volume highlights both theoretical insights and practical case studies, offering valuable guidance for advancing engineering practices through these cutting-edge technologies.
Advanced Engineering Applications of Machine Learning, Deep Learning, and IoT covers a wide range of topics that illustrate the convergence of ML, DL, and IoT across various engineering domains. It explores the application of these technologies in areas such as autonomous systems, predictive maintenance, smart manufacturing, energy optimization, and biomedical engineering. The book delves into both the theoretical foundations and practical implementations of these techniques, providing readers with case studies, methodologies, and real-world examples. It also discusses challenges, opportunities, and future trends, offering valuable insights into how these technologies can revolutionize modern engineering practices.
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Dr. S. Menaka has received her Bachelor of Science in Mathematics from Bharathiar University in 1998, Master of Computer Applications from Bharathidasan University in 2001, M.Phil from Bharathidasan University in 2004 and PhD in Computer Science from Bharathiyar University in 2022. She is currently working as Associate Professor of MCA department in Nehru Institute of Information Technology and Management, Coimbatore. She has 20 years of teaching experience. Her main research area focuses on Channelization and Routing in Mobile Computing and published more than 35 research papers.
Prof. Vinay Saxena is a distinguished mathematician and the Principal of Kisan Post Graduate College, Bahraich, Uttar Pradesh. An alumnus of IIT Kanpur and GBPUAT Pantnagar, his academic trajectory is defined by a rigorous focus on Pattern Recognition, Machine Learning, and Numerical Analysis. Dr. Saxena has contributed a substantive body of work to peer-reviewed journals, complemented by numerous book chapters and patents that advance the field of Mathematical Modeling. His commitment to pedagogical excellence and institutional leadership is reflected in his active stewardship of high-level research initiatives. A fellow and member of premier professional bodies, including IUPRAI, ISCA, IMS, and RMS, he frequently facilitates interdisciplinary synergy between theoretical mathematics and applied sciences. Through a career-long dedication to scholarship and professional service, Dr. Saxena remains a pivotal figure in the evolution of advanced mathematical research and higher education.
Dr. Parul Saxena is the Convener and Head of the Department of Computer Science at SSJ University, Almora. An alumna of GBPUA&T, Pantnagar, and Kumaun University, Nainital, her research focuses on Artificial Intelligence, Signal Processing, and Wavelet Theory. Her scholarly work is extensively published in premier journals, including IEEE, Springer, and Taylor & Francis, complemented by four books and multiple patents. Beyond her technical contributions, Dr. Saxena has demonstrated significant institutional leadership by organizing numerous national and state-level academic events. She remains an active member of prestigious professional bodies, including IUPRAI, ISCA, and SRBS. Her career is defined by a rigorous interdisciplinary approach that bridges theoretical innovation with practical computational applications. Through her dedicated service and scholarship, Dr. Saxena continues to advance the frontiers of Computer Science and higher education.
Shouvik Chattopadhyay is an Assistant Professor of Management at the Institute of Engineering & Management (IEM), Kolkata, under University of Engineering & Management, Kolkata, with over 20 years of combined industry and academic experience in logistics, supply chain, and operations management. He has extensive professional exposure through roles with organizations such as DHL Supply Chain, Jotun Paints, Simplex Infrastructures, TAKE Solutions, and TCI Logistics, covering 3PL and 4PL operations, warehousing systems, Lean implementation, and process optimization across India and the MENA region. He has also served as Visiting Faculty in Dubai, where he designed and delivered professional certification programs and trained over 600 industry professionals. His academic and research interests include strategic sourcing, supplier governance, digital supply chains, and AI/ML-enabled decision systems for logistics and operations. He has published in peer-reviewed journals and IEEE/Scopus-indexed international conferences. His work emphasizes the integration of analytical rigor, technological innovation, and managerial relevance in supply chain decision-making.
