Smart Cyber-Physical Systems: Innovations and Real-World Implications
暫譯: 智慧型網路物理系統：創新與實際應用影響

本書提供了前沿 SCPS 技術的廣泛概述，突顯其應用、挑戰和變革潛力。它還通過實際案例研究和深入分析，彌合理論與實踐之間的鴻溝，展示 SCPS 如何應對全球重要挑戰。

Ramesh Chandra Poonia completed a Postdoctoral Fellowship from the Cyber-Physical Systems Laboratory (CPS Lab), Department of ICT and Natural Sciences, Norwegian University of Science and Technology (NTNU), Alesund, Norway. He also completed a Part-Time Postdoctoral Fellowship on the International Collaborative Project of a Prediction Model for Pandemic Disease using Machine Learning at Oakland University, USA, and Imam University, Saudi Arabia. He received his Ph.D. in Computer Science from Apaji Institute of Mathematics & Applied Computer Technology, Banasthali University, Banasthali, India, in July 2013. He has also completed Master of Technology (M.Tech.) in Data Science & Engineering, Work Integrated Learning Programme (WILP) from Birla Institute of Technology and Science, Pilani (BITS Pilani), India. He is a Professor in the Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India. His research interests are sustainable technologies, cyber-physical systems, computational intelligence, and network protocol evaluation. He is Chief Editor of the TARU Journal of Sustainable Technologies and Computing (TJSTC) and Associate Editor of the Sustainable Computing: Informatics and Systems, Elsevier. He also serves on the editorial boards of a few international journals. He is the principal author and co-author of six books and an editor of more than 25 special issues of journals, books, and conference proceedings. He has also authored/co-authored over 75 research publications in peer-reviewed reputed journals, book chapters, and conference proceedings. Moreover, he is a regular reviewer for international journals and conferences. He also serves as Conference Chair of Conference Series, International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM-20XX). He was endorsed with the prestigious "Faculty Appreciation Award 2013" for commendable services. H-index as of July 2022 is 23, according to Google Scholar.

Kamal Upreti is currently working as Associate Professor in the Department of Computer Science, CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India. He completed his B.Tech (Hons) degree from UPTU, M.Tech (Gold Medalist) and PGDM(Executive) from IMT Ghaziabad, and Ph.D. in the Department of Computer Science & Engineering. He has completed his postdoctorate degree at the National Taipei University of Business, TAIWAN, funded by MHRD. He has published 50+ patents, 32+ magazine issues, and 165+ research papers in various reputed journals and international conferences. His areas of interest include modern physics, data analytics, cyber security, machine learning, healthcare, embedded systems, and cloud computing. He has published more than 45+ authored and edited books in reputed publications. He has years of enriched experience in corporate and teaching fields in engineering colleges. He has worked with HCL, NECHCL, Hindustan Times, Dehradun Institute of Technology, and Delhi Institute of Advanced Studies, with more than 15+ years of enriching experience in research, academics, and corporate fields. He has also worked at NECHCL in Japan, where he had a project called "Hydrastore" funded by a collaboration between HCL and NECHCL Company. He worked on a government project: "Integrated Power Development Scheme (IPDS)," launched by the Ministry of Power, Government of India, to strengthen the sub-transmission and distribution network in the urban areas. Currently, he has completed work in collaboration with GB PANT & AIIMS Delhi, the funded project of the ICMR Scheme on cardiovascular disease prediction strokes using machine learning techniques from 2017 to 2020, which has a fund of 80 lakhs. He got 5 lakhs funding from DST SERB for conducting the International Conference, ICSCPS-2024, 13-14 Sept 2024. Recently, he received a fund of 10 lakhs from AICTE - Inter-Institutional Biomedical Innovations and Entrepreneurship Program (AICTE-IBIP) for 2024-2026. He has attended as a session chairperson at national and international conferences and was a keynote speaker on various platforms such as skill-based training, corporate training, guest faculty, and faculty development programs. He was awarded as the best teacher, researcher, extra academic performer, and gold medalist in the M.Tech program.

Mohammad S. Khan (SM' 19) is Associate Professor of Computing at East Tennessee State University and Director of the Network Science and Analysis Lab (NSAL). He received his M.Sc. and Ph.D. in Computer Science and Computer Engineering from the University of Louisville, Kentucky, USA, in 2011 and 2013, respectively. His primary area of research is in ad hoc networks, wireless sensor networks, network tomography, connected vehicles, vehicular social networks, and cyber-physical systems. He is an associate editor of IEEE Access, IET ITS, IET WSS, Telecommunication Systems, and Neural Computing and Applications. He has been on technical program committees of various international conferences and is a technical reviewer of various international journals in his field. He is a senior member of IEEE.

拉梅什·昌德拉·普尼亞於挪威科技大學（NTNU）資訊與自然科學系的網路物理系統實驗室（CPS Lab）完成了博士後研究獎學金。他還在美國奧克蘭大學和沙烏地阿拉伯的伊瑪目大學完成了一個關於使用機器學習預測疫情疾病的國際合作項目的兼職博士後研究。他於2013年7月在印度巴納斯塔利大學的阿帕吉數學與應用計算技術研究所獲得計算機科學博士學位。他還在印度比爾拉科技與科學學院（BITS Pilani）完成了數據科學與工程的技術碩士（M.Tech.）學位，並參加了工作整合學習計劃（WILP）。他是印度班加羅爾基督（被認定為大學）計算機科學系的教授。他的研究興趣包括可持續技術、網路物理系統、計算智能和網路協議評估。他是《可持續技術與計算期刊》（TJSTC）的主編，並擔任《可持續計算：資訊學與系統》（Elsevier）的副編輯。他還在幾本國際期刊的編輯委員會中任職。他是六本書的主要作者和合著者，並編輯了超過25期的期刊、書籍和會議論文集。他還在同行評審的知名期刊、書籍章節和會議論文中發表了超過75篇研究出版物。此外，他是國際期刊和會議的定期審稿人。他還擔任會議系列的會議主席，負責可持續計算在科學、技術和管理中的國際會議（SUSCOM-20XX）。因其卓越的服務，他獲得了2013年的「教職員表彰獎」。根據Google Scholar，截至2022年7月，他的H指數為23。

卡馬爾·烏普雷提目前擔任印度德里NCR加濟阿巴德基督（被認定為大學）計算機科學系的副教授。他在UPTU獲得了B.Tech（榮譽）學位，並在IMT加濟阿巴德獲得了M.Tech（獲金獎）和PGDM（高級）學位，隨後在計算機科學與工程系獲得博士學位。他在台灣國立台北商業大學完成了博士後學位，該項目由MHRD資助。他已在各種知名期刊和國際會議上發表了50多項專利、32期以上的雜誌和165篇以上的研究論文。他的研究興趣包括現代物理、數據分析、網路安全、機器學習、醫療保健、嵌入式系統和雲計算。他已在知名出版物中發表了超過45本的著作和編輯書籍。他在工程學院的企業和教學領域擁有多年的豐富經驗。他曾在HCL、NECHCL、印度亨都新聞、德拉敦科技學院和德里高級研究院工作，擁有超過15年的研究、學術和企業領域的豐富經驗。他還曾在日本的NECHCL工作，參與了一個名為「Hydrastore」的項目，該項目由HCL和NECHCL公司合作資助。他參與了一個政府項目：「綜合電力發展計劃（IPDS）」，該計劃由印度政府電力部啟動，旨在加強城市地區的次級傳輸和配電網路。目前，他已完成與GB PANT和德里AIIMS的合作工作，該項目是ICMR計劃資助的心血管疾病預測中風的機器學習技術研究，資金達800萬。他獲得了來自DST SERB的50萬資金，用於舉辦國際會議ICSCPS-2024，會議將於2024年9月13日至14日舉行。最近，他獲得了來自AICTE - 跨機構生物醫學創新與創業計劃（AICTE-IBIP）2024-2026年的100萬資金。他曾在國內外會議上擔任會議主席，並在各種平台上擔任主題演講者，涉及技能培訓、企業培訓、客座教授和教職員發展計劃。他曾獲得最佳教師、研究者、課外表現優異者和M.Tech課程金獎得主的榮譽。

穆罕默德·S·汗（SM' 19）是東田納西州立大學的計算副教授，並擔任網路科學與分析實驗室（NSAL）的主任。他於2011年和2013年分別在美國肯塔基州路易維爾大學獲得計算機科學和計算機工程的碩士和博士學位。他的主要研究領域包括自組網、無線感測器網路、網路成像、連接車輛、車輛社交網路和網路物理系統。他是IEEE Access、IET ITS、IET WSS、電信系統和神經計算與應用的副編輯。他曾參與多個國際會議的技術程序委員會，並擔任其領域內多個國際期刊的技術審稿人。他是IEEE的高級會員。