Integrating AI Techniques into the Design and Development of Smart Cyber-Physical Systems: Defense, Biomedical, Infrastructure, and Transportation
暫譯: 將人工智慧技術整合至智慧網路物理系統的設計與開發：防禦、生物醫學、基礎設施與交通運輸

本書基於對於網路物理系統相關風險、漏洞及安全措施的知識，專注於將人工智慧技術應用於智慧網路物理系統的應用開發。未來，網路物理系統將在生活的幾乎每個方面出現，因此需要一本專注於揭示網路物理系統在更關鍵領域（如國防、醫療保健、生物醫學、智慧城市應用）的設計、開發和安全方面的書籍。

將人工智慧技術整合進智慧網路物理系統的設計與開發：國防、生物醫學、基礎設施與交通運輸提供了對於人工智慧和機器學習基本理論與概念的入門探索，這些理論與概念被用於構建可靠的網路物理系統。它將先進的設計與開發理念以及強化的安全措施引入網路物理系統。通過專注於人工智慧在網路物理系統設計及安全方面的應用，可以探索可靠性和進步的提升。此外，書中還包含最新的研究成果和進展，以及關於智慧網路物理系統設計與開發的案例研究和示例。

這本資源對於在教育機構、研究實驗室、企業和政府機構工作的專業人士，以及尋求智慧網路物理系統設計新想法的學生來說，都是非常有價值的。

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 research, Optimization, Automotive, and cyber security.

Dr Anita Khadka is an Assistant Professor at the University of Warwick. Her research area involves Responsible AI investigating AI Resilience, and Assurance. She has contributed to several EPSRC-funded projects, including those on Robotic Artificial Intelligence in Nuclear (RAIN) and FAIRSPACE investigating the impact of adversarial attacks and developing defensive strategies to mitigate them. She focuses her research mainly on critical infrastructure including Healthcare, and Nuclear where the consequences of Adversarial Attacks can be high. She has published numerous papers in high-quality journals and conferences including ACM Computing Surveys, AeroSpace, and RecSys Conferences and has also secured grants funded by the University of Warwick and Sprite+. Dr Khadka has taught and supervised students across various levels, including undergraduate, Master's, and MSc apprenticeship programs, with a focus on Cybersecurity and Artificial Intelligence. She was an Assistant Professor at Northeastern University, London where she also held the Program Lead position for the MSc in AI and Data Science degree. She obtained her MSc in Intelligent Systems and Robotics from the University of Essex in 2012 and her Ph.D. in Computer Science from The Open University in 2020. She has extensive experience in both academia and industry.

Dr. D. Jeya Mala 目前擔任印度泰米爾納德邦金奈維洛爾科技學院（Vellore Institute of Technology, Chennai, Tamil Nadu, India）計算機科學與工程學院（School of Computer Science and Engineering, SCOPE）的教授。她擁有超過21年的教學和研究經驗，以及4年的產業經驗。她已完成一個由印度政府資助的項目，並且正在進行多個顧問項目。最近，她被印度政府的技術教育委員會（TEC）選為國家級量子工作組成員，並且是AICTE-NEAT的專家評估委員會成員，負責評估AICTE（印度政府）的教育課程和軟體產品，同時也是Smart India Hackathon（AICTE的重大活動）的評估者。Dr. Mala已獲得設計專利，並在印度政府的知識產權（IP）下發表了一項實用專利。她已出版三本編輯書籍和一本教科書，以及在知名的同行評審期刊和會議上發表了超過60篇論文，並撰寫了15篇以上的書章。她在Udemy的MOOC課程有超過2900名學員註冊，她的教科書已被多所國內外大學納入課程中。她獲得了印度計算機學會頒發的「2024年度最佳教師獎（特定創新類別）」，以及泰米爾納德邦ICTACT頒發的「最佳技術教師獎」，並獲得多個來自知名政府機構和組織的榮譽和認可。她是IEEE、ACM等專業機構的成員，並擔任國際期刊和會議的編輯和審稿委員。Dr. Mala因其在基於搜索的軟體工程領域的研究工作而被列入英國倫敦大學學院的「誰是誰名單（Who's Who list of the SEBASE repository）」。她的研究領域包括人工智慧、機器學習、深度學習、可解釋的人工智慧（XAI）、軟體工程、網路物理系統、網路安全等。

Dr. Anto Cordelia Tanislaus Antony Dhanapal 是馬來西亞阿都拉曼大學（Universiti Tunku Abdul Rahman, UTAR）化學科學系的助理教授。擁有超過二十年的學術和研究經驗，專注於食品科學、營養基因組學和基於人工智慧的精準營養。Dr. Dhanapal擁有食品科學和營養的博士學位，目前正推進人工智慧在精準營養中的整合，專注於開發虛擬數位雙胞胎和數據驅動的方法來個性化飲食建議。她在過去五年中主導了多個研究項目，獲得了11項競爭性資助。Dr. Dhanapal已發表超過60篇研究論文和書章，其開創性的工作獲得國際認可，包括英國-馬來西亞高等教育機構夥伴獎。她也是公共健康的熱情倡導者，積極參與如GENEY計畫等倡議，以促進馬來西亞青年的精準營養，進一步體現了她對研究、教育和社會福祉的奉獻。

Dr. Saurav Sthapit 目前擔任英國考文垂大學（Coventry University, UK）計算科學與數學建模中心的助理教授（研究）。在此之前，他是華威大學（University of Warwick）網路系統工程的研究員。他在尼泊爾的特里布萬大學（Tribhuvan University）獲得電子與通信工程的學士學位，在英國肯特大學（University of Kent）獲得嵌入式系統的碩士學位，並在蘇格蘭愛丁堡大學（University of Edinburgh）工程學院的數位通信研究所獲得博士學位。Dr. Sthapit擁有超過15年的產業和教學經驗，並在知名國際期刊上發表了超過10篇研究論文。他的研究興趣包括強化學習、嵌入式系統、物聯網（IoT）、信號處理、模擬與建模、機器學習、計算機視覺、博弈論、運籌學、優化、汽車技術和網路安全。

Dr. Anita Khadka 是華威大學（University of Warwick）的助理教授。她的研究領域涉及負責任的人工智慧，研究人工智慧的韌性和保證。她參與了多個由英國工程與自然科學研究委員會（EPSRC）資助的項目，包括核能中的機器人人工智慧（Robotic Artificial Intelligence in Nuclear, RAIN）和FAIRSPACE，研究對抗性攻擊的影響並開發防禦策略以減輕其影響。她的研究主要集中在關鍵基礎設施，包括醫療保健和核能，因為對抗性攻擊的後果可能非常嚴重。她在高品質期刊和會議上發表了大量論文，包括ACM Computing Surveys、AeroSpace和RecSys會議，並獲得了華威大學和Sprite+的資助。Dr. Khadka曾教授和指導各級學生，包括本科生、碩士生和碩士學徒計畫，專注於網路安全和人工智慧。她曾在倫敦的東北大學（Northeastern University）擔任助理教授，並擔任AI和數據科學碩士學位的課程負責人。她於2012年在埃塞克斯大學（University of Essex）獲得智能系統和機器人學的碩士學位，並於2020年在開放大學（The Open University）獲得計算機科學的博士學位。她在學術界和產業界擁有豐富的經驗。