Integrating AI Techniques into the Design and Development of Smart Cyber-Physical Systems - Khadka, Anita; Dhanapal, Anto Cordelia Tanislaus Antony; Mala, D. Jeya; Sthapit, Saurav
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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 Artificial Intelligence and Machine Learning utilized in the building of dependable cyber-physical systems.

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Produktbeschreibung
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 Artificial Intelligence and Machine Learning utilized in the building of dependable cyber-physical systems.
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Autorenporträt
D. Jeya Mala is currently working as an Associate Professor Senior at the School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology, Chennai, Tamil Nadu, India. She has more than 24 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 software 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. 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 research, Optimization, Automotive, and cyber security. Anita Khadka is an Assistant Professor in the Artificial Intelligence and Data Science Department at Northeastern University, London. She is currently the Postgraduate AI program lead and teaches AI-related subjects to postgraduate apprenticeships. Dr. Khadka completed her Ph.D. in 2020 and joined the University of Warwick as a Research Fellow. During her time at the University of Warwick, she was actively involved in several UKRI-funded projects including Fair-Space, Robotics and Artificial Intelligence in Nuclear (RAIN), AutoTrust, [ALL EPSRC funded], Scaling and spreading AI-driven screening [NHS funded SBRI], and Pattern of Life [Turing-Institute funded]. She is active in writing grants and has won several fundings including Sprite+ (UKRI funded) for a digital Identity project, a Department for Culture, Media, Sport (DCMS) funded project for Artificial Intelligence: Regulation & Best Practice, and Enhanced research culture UKRI funded project for enhancing research culture among underrepresented minority groups. Dr. Khadka is a qualified software engineer with several years of industrial experience ranging from small to large-scale international companies. She has experience in both academic and industrial research and is interested in applying the concepts of novelty and innovation through rigor, and involvement in a wider and diverse network to disseminate knowledge.