Integrating AI Techniques into the Design and Development of Smart Cyber-Physical Systems (inbunden)
Format
Inbunden (Hardback)
Språk
Engelska
Serie
Prospects in Smart Technologies
Antal sidor
314
Utgivningsdatum
2025-06-29
Förlag
Taylor & Francis Ltd
Medarbetare
Dhanapal, Anto Cordelia Tanislaus Ant. . . (förf.)
Dimensioner
234 x 156 x 19 mm
Vikt
640 g
ISBN
9781032787701

Integrating AI Techniques into the Design and Development of Smart Cyber-Physical Systems

Defense, Biomedical, Infrastructure, and Transportation

Inbunden,  Engelska, 2025-06-29
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Building on the knowledge of risks, vulnerabilities, and safety measures associated with cyber-physical systems, this book focuses on adapting artificial intelligence (AI) techniques to smart cyber-physical systems application development. The future is going to see cyber-physical systems in almost every aspect of life, so a book that focuses on shedding light on the design, development, and security aspects of cyber-physical systems in more crucial domains such as defense, healthcare, biomedical, smart city applications, is needed. Integrating AI Techniques into the Design and Development of Smart Cyber-Physical Systems: Defense, Biomedical, Infrastructure, and Transportation offers an introductory exploration of the fundamental theories and concepts of AI and machine learning (ML) that are utilized in the building of dependable cyber-physical systems. It brings the ideas of advanced design and development and empowered security measures to cyber-physical systems. By focusing on the application of AI in cyber-physical systems design as well as security aspects, an improvement in reliability and advancements can be explored. Also included are the latest findings and advancements as well as case studies and illustrative examples on the design and development of smart cyber-physical systems. This resource is highly valuable for those employed in educational institutions, research laboratories, enterprises, and government agencies, as well as for students seeking novel ideas in the realm of smart cyber-physical systems design.
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Dr. D. Jeya Mala is currently working as a Professor in the School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology, Chennai, Tamil Nadu, India. She has more than 21 years of teaching and research and 4 years of industrial experience. She has completed a funded project from the Govt. of India and is doing several consultancy projects as well. Recently she is selected as a member of the National Level Workgroup on Quantum by TEC, Govt. of India, she is an Expert Evaluation Committee member for AICTE-NEAT to evaluate educational courses and software products for AICTE, the Govt. of India, and also an evaluator for Smart India Hackathon- a mega event of AICTE, Govt. of India. Dr. Mala has been granted a design patent and has published a utility patent under IP, Govt. of India. She has published three edited books and one textbook and more than 60 papers in reputed, refereed journals and conferences along with 15+ book chapters. Her MOOC course for Udemy has more than 2900 learners' enrollment and her textbook has been placed in several national and international university curriculums. She has received "Best Faculty of the year award -2024 (under specific innovations category) from Computer Society of India, "Best Techno Faculty Award" from ICTACT, Govt. of Tamil Nadu, and several other laurels and recognitions from reputed Govt. bodies and organizations. She is a member of professional bodies like IEEE, ACM, etc. and she forms the editorial and reviewer boards of international journals and conferences. Dr. Mala is listed in the "Who's Who list of the SEBASE repository" of the University College of London, UK for her research work in the area of Search Based Software Engineering. Her area of research includes Artificial Intelligence, Machine Learning, Deep Learning, Explainable AI (XAI), Software Engineering, Cyber Physical Systems, Cyber Security, etc. Dr. Anto Cordelia Tanislaus Antony Dhanapal is an accomplished Assistant Professor in the Department of Chemical Science at Universiti Tunku Abdul Rahman (UTAR), Malaysia. With over two decades of academic and research experience across India and Malaysia, she specializes in food science, nutrigenomics, and AI-driven precision nutrition. Holding a PhD in Food Science and Nutrition, Dr. Dhanapal is currently advancing the integration of artificial intelligence in precision nutrition, focusing on developing virtual digital twins and data-driven approaches to personalize dietary recommendations. She has spearheaded numerous research projects, securing 11 competitive grants in the last five years. Dr. Dhanapal has published over 60 research papers and book chapters, and her groundbreaking work has earned international recognition, including the UK-Malaysia Higher Institution Partnership Award. She is also a passionate advocate for public health, actively engaging in initiatives like the GENEY program to promote precision nutrition among Malaysian youth, further exemplifying her dedication to research, education, and societal well-being. Dr. Saurav Sthapit is currently working as an Assistant Professor (Research) at the Centre for Computational Science and Mathematical Modeling, Coventry University, UK. Before that, he was a Research Fellow in Cyber Systems Engineering at WMG at the University of Warwick. He received his BE degree in Electronics and Communication Engineering from Tribhuvan University, Nepal, his MSc degree in Embedded Systems from the University of Kent, England, and his Ph.D. degree from the Institute for Digital Communications, within the School of Engineering, University of Edinburgh, Scotland. Dr. Sthapit has more than 15 years of experience in industry and teaching and has published more than 10 research papers in reputed international journals. His research interests include Reinforcement Learning, Embedded Systems, IOT, Signal Processing, Simulation and modeling, Machine Learning, Computer Vision, Game theory, Operational researc...