AIoT Innovations in Digital Health: Emerging Trends, Challenges, and Solutions
暫譯: 數位健康中的AIoT創新：新興趨勢、挑戰與解決方案

人工智慧（AI）在數位健康領域的創新提供了前所未有的機會，以促進人類健康並提供降低整體成本的工具和技術。本書討論了使用 AI 來提高診斷準確性、病人監測、遠端診斷工具的使用、識別危及生命的疾病、醫療機器人應用、藥物發現、技術驅動的解決方案等多個方面。

《AIoT 在數位健康中的創新：新興趨勢、挑戰與解決方案》介紹了整合技術，如綠色計算、物聯網（IoT）和大數據，並利用 AI、機器學習、深度學習和聯邦學習應用於醫療保健。它討論了機器學習在醫療機器人未來的應用，並強調基於聯邦學習的病人監測應用。本書還詳細說明了 AI 和機器學習在藥物發現中的角色。

有興趣的讀者包括任何從事或參與智慧醫療研究的人士，這些人士包括但不限於醫療專家、計算機科學工程師、電子工程師、系統工程師和藥學從業人員。

Dr. Inam Ullah Khan is the Founder of the Internet of Flying Vehicles Lab at AI-EYS. Recently, he has been working as a Global Mentor/Guest Lecturer at Impact Xcelerator, IE School of Science and Technology, Madrid, Spain. Previously, he was working as a visiting researcher at King's College London, United Kingdom. Also, he was a faculty member at different universities in Pakistan including the Center for Emerging Sciences Engineering and Technology (CESET), Islamabad, Abdul Wali Khan University, Garden Campus, Timergara Campus, University of Swat & Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad Campus. Dr. Khan completed his Ph.D. in Electronics Engineering from the Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS). He earned his M.S. degree in Electronic Engineering at the Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS), and his undergraduate degree in Bachelor of Computer Science from Abdul Wali Khan University Mardan, Pakistan. He has authored/co-authored more than 50 research articles in reputable journals, conferences, and as book chapters. He has served in many international conferences as a session chair or technical program committee member. As well as serving as a Guest Editor with many prestigious international journals. His research interests include Network System Security, Intrusion Detection, Intrusion Prevention, cryptography, Optimization techniques, WSN, IoT, Mobile Ad Hoc Networks (MANETS), Flying Ad Hoc Networks, and Machine Learning.

Dr. Salma El Hajjami (Eng., Ph.D.) is an Assistant Professor and Researcher at the Faculty of Science, Ibn Zohr University, Agadir, Morocco since 2021. She earned her Ph.D. 2021 in Computer Science, from the Laboratory of Artificial Intelligence, Data Science and Emerging Systems from ENSA, Sidi Mohammed Ben Abdellah University, Fez, Morocco. She is a Computer Science Engineer, who graduated in 2015 from the National School of Applied Sciences Fez, Morocco. She is a member of the International Association of Engineers (IAENG) and the International Association of Online Engineering. Dr. Salma has made contributions in the fields of Social Big Data, Semantics Analytics, Anomaly Detection, and Imbalanced Big Data published at international conferences and journals. Her main research topics are Machine Learning, Deep Learning, Imbalanced Big Data, Data Science, and Blockchain.

Dr. Shashi Kant Gupta, Post-Doctoral Fellow and Researcher, Computer Science and Engineering, Eudoxia Research University, USA in collaboration with Eudoxia Research Centre, India. He has completed his Ph.D. in CSE from Integral University, Lucknow, UP, India, He is currently working as the Founder and CEO of CREP PVT. LTD., Lucknow, UP, India. He has been a member of Spectrum IEEE & Potentials Magazine IEEE since 2019 and many more international organizations for research activities and he is the Editor-in-Chief of the International Journal of Data Informatics and Intelligent Computing (IJDIIC). He has published many research papers in reputable international journals and has published many papers in National and International conferences as well as in Seminars. He has published many Indian patents in the fields of information technology, computer science, and management. One Indian patent is under grant approval, and he has many German patents with grants, He has more than 10 years of teaching experience 2 years of Industrial Experience, and more than 2 years as CEO and Founder of a firm. His main research work focuses on performance enhancement through Cloud computing, Big Data Analytics, IoT, and Computational Intelligence-based Education.

Dr. Hameedur Rahman received a BS and MS degree in software engineering with multimedia from the Limkokwing University of Creative Technology, Malaysia, and a Ph.D. degree in Computer Science from the Faculty of Information Science and Technology, University of Kebangsaan Malaysia, Bangi, Malaysia. He has 10 years of industrial experience in multinational companies. Dr. Rahman is currently an Associate Professor at AIR University and senior Research Member of the Center for Artificial Intelligence Technology and Head of the Department of Computer Games Development. He received some international awards including the Itex Bronze Medal of Innovation, Malaysia, and the Winner of NASA Space App and Virtual Reality Arena. His research interests include the areas of augmented reality, virtual reality, image processing, cryptography, Natural Language Processing, Data Mining, mobile technology, artificial intelligence, automation, and medical radiological technology.

Dr. Y. Thiagarajan, (MIE, MISTE), Atal Mentor of Change - currently working as an Associate Professor cum HoD in the Department of Electrical and Electronics Engineering, Christ College of Engineering and Technology, Puducherry, India. He has been teaching undergraduate students in Electrical and Electronics Engineering for the past 14 years and is a Member of the Board of Studies and in Doctoral Committee. Presently he is serving as an Editorial Board Member and Reviewer for various reputed journals. He is a Fellow member of the Solar Energy Society of India, a member - of the Institute of Engineers, a senior member - of theIRD, a Life member of ISTE, and in various Professional bodies. He is the Recipient of the Best Faculty Award 2019, Awarded by Vasavi International Trust. He has been selected as a Mentor for CSIR SRTP NEST 2020- (period: May-August 2020). To his credit, he has Received One Indian Patent Grant, One Australian Innovation Patent Grant, and One copyright Grant. His field of interest Includes IoT in Renewable energy, AI for E-vehicles, Microbial Fuel cell (PEM), Power converters and Energy Conservation, Fuel Cell Technology, and Biomedical Engineering.

Dr. Inam Ullah received a B.Sc. degree in Electrical Engineering (Telecommunication) from the Department of Electrical Engineering, University of Science and Technology Bannu (USTB), KPK, Pakistan, in 2016 and a Master's and Ph.D. degree in Information and Communication Engineering from the College of Internet of Things (IoT) Engineering, Hohai University (HHU), Changzhou Campus, 213022, China, in 2018 and 2022, respectively. He completed his postdoc with Brain Korea 2021 at the Chungbuk Information Technology Education and Research Center, Chungbuk National University, Cheongju, S Korea, from Oct. 2022 to March 31, 2023. He is currently an Assistant Professor at the Department of Computer Engineering, Gachon University, S Korea. He has authored more than 70 peer-reviewed articles on various research topics and is the reviewer of many prominent journals, His awards and honors include the Best Student Award from the University of Science and Technology Bannu (USTB), KPK, Pakistan, in 2015 and the Prime Minister Laptop Scheme Award from the University of Science and Technology Bannu (USTB), KPK, Pakistan, in April 2015. Top-10 students award of the College of Internet of Things (IoT) Engineering, Hohai University, China in June 2019, Top-100 students award of Hohai University (HHU), China in June 2019, Jiangsu Province Distinguish International Students award (30,000 RMB) in 2019-2020, Certificate of Recognition from Hohai University (HHU), China in 2021 & 2022 both, Top-100 students award of Hohai University (HHU), China in May 2022, Top-10 Outstanding Students Award, Hohai University (HHU), China in June 2022, and Distinguished Alumni Award from University of Science and Technology Bannu (USTB), KPK, Pakistan in Oct. 2022. His research interests include Robotics, the Internet of Things (IoT), Wireless Sensor Networks (WSNs), Underwater Communication and Localization, Underwater Sensor Networks (USNs), Artificial Intelligence (AI), Big data, Deep learning, etc.

Dr. Muhammad Adnan Khan (Senior Member, IEEE) is currently working as an Associate Professor in the School of Computing, Skyline University College, Sharjah, UAE. He completed his Ph.D. from ISRA University, Islamabad, Pakistan, by obtaining a scholarship award from the Higher Education Commission, Islamabad, Pakistan, in 2016. He also completed his MS & BS degrees from the International Islamic University, Islamabad, Pakistan by obtaining a scholarship award from the Punjab Information and Technology Board, Govt. of Punjab, Pakistan. Before joining Skyline University College, Khan worked in various academic and industrial roles in Pakistan and the Republic of Korea. He has been teaching graduate and undergraduate students in computer science and engineering for the past 15 years. He has published more than 240 research articles in reputed International Journals as well as International Conferences. Dr. Khan's research interests primarily include Machine Learning, Deep Learning, Applications of Computational Intelligence, Smart Health, Smart City, Federated Learning, Extreme Machine Learning, MUD, Image Processing and Medical Diagnosis, Channel Estimation in Multi-Carrier Communication Systems Using Soft computing, etc.

伊南·烏拉·汗博士是AI-EYS飛行車輛互聯網實驗室的創始人。最近，他在西班牙馬德里IE科學與技術學院的Impact Xcelerator擔任全球導師/客座講師。此前，他曾在英國倫敦國王學院擔任訪問研究員。此外，他還曾在巴基斯坦的多所大學擔任教職，包括伊斯蘭堡的新興科學工程與技術中心（CESET）、阿卜杜勒·瓦利·汗大學的花園校區、蒂梅爾加拉校區、斯瓦特大學及伊斯蘭堡校區的沙希德·祖爾菲卡爾·阿里·布托科學與技術學院（SZABIST）。汗博士在伊斯蘭堡的以色拉大學電子工程系獲得電子工程博士學位。他在以色拉大學電子工程系獲得電子工程碩士學位，並在巴基斯坦阿卜杜勒·瓦利·汗大學馬爾丹校區獲得計算機科學學士學位。他在知名期刊、會議及書籍章節中發表了超過50篇研究文章。他曾在多個國際會議中擔任會議主席或技術程序委員會成員，並擔任多本國際期刊的客座編輯。他的研究興趣包括網絡系統安全、入侵檢測、入侵防護、密碼學、優化技術、無線傳感器網絡（WSN）、物聯網（IoT）、移動自組網（MANETS）、飛行自組網及機器學習。

薩爾瑪·艾爾·哈賈米博士（工程學，博士）自2021年以來擔任摩洛哥阿加迪爾伊本·祖赫爾大學科學學院的助理教授和研究員。她於2021年在摩洛哥菲斯的西迪·穆罕默德·本·阿卜杜拉大學的人工智能、數據科學和新興系統實驗室獲得計算機科學博士學位。她是一名計算機科學工程師，於2015年畢業於摩洛哥菲斯的應用科學國立學校。她是國際工程師協會（IAENG）和國際在線工程協會的成員。薩爾瑪博士在社會大數據、語義分析、異常檢測和不平衡大數據等領域做出了貢獻，並在國際會議和期刊上發表。她的主要研究主題包括機器學習、深度學習、不平衡大數據、數據科學和區塊鏈。

沙希·坎特·古普塔博士，博士後研究員及計算機科學與工程研究員，現於美國Eudoxia研究大學與印度Eudoxia研究中心合作。他在印度烏塔爾邦的Integral University獲得計算機科學與工程博士學位，目前擔任CREP PVT. LTD.的創始人兼首席執行官。他自2019年以來一直是Spectrum IEEE和Potentials Magazine IEEE的成員，並參與多個國際組織的研究活動，擔任《國際數據信息學與智能計算期刊》（IJDIIC）的主編。他在知名國際期刊上發表了多篇研究論文，並在國內外會議及研討會上發表了多篇論文。他在信息技術、計算機科學和管理領域擁有多項印度專利，其中一項印度專利正在批准中，並擁有多項德國專利。他擁有超過10年的教學經驗、2年的工業經驗，以及超過2年的公司首席執行官和創始人經驗。他的主要研究工作集中在通過雲計算、大數據分析、物聯網和基於計算智能的教育來提升性能。

哈米杜爾·拉赫曼博士在馬來西亞林國榮創意科技大學獲得多媒體軟體工程的學士和碩士學位，並在馬來西亞國立大學信息科學與技術學院獲得計算機科學博士學位。他在跨國公司擁有10年的工業經驗。拉赫曼博士目前是AIR大學的副教授，並擔任人工智能技術中心的高級研究成員及計算機遊戲開發系主任。他獲得了一些國際獎項，包括馬來西亞Itex創新銅獎，以及NASA太空應用和虛擬現實競技場的獲獎者。他的研究興趣包括擴增實境、虛擬實境、影像處理、密碼學、自然語言處理、數據挖掘、移動技術、人工智能、自動化和醫療放射技術。

Y. 提亞卡拉詹博士（MIE，MISTE），Atal變革導師，現任印度普杜切里的基督工程與技術學院電氣與電子工程系的副教授兼系主任。他在電氣與電子工程領域教授本科生已有14年，並擔任學術委員會成員及博士委員會成員。目前，他擔任多本知名期刊的編輯委員會成員和審稿人。他是印度太陽能學會的會員，工程師學會的會員，IRD的高級會員，ISTE的終身會員，以及多個專業機構的成員。他獲得了2019年最佳教學獎，由Vasavi國際信託頒發。他被選為CSIR SRTP NEST 2020的導師（期間：2020年5月至8月）。他擁有一項印度專利授權、一項澳大利亞創新專利授權和一項版權授權。他的研究領域包括可再生能源中的物聯網、電動車的人工智能、微生物燃料電池（PEM）、電源轉換器和能源保護、燃料電池技術及生物醫學工程。

伊南·烏拉博士於2016年在巴基斯坦KPK的科學與技術大學班努校區的電氣工程（電信）系獲得學士學位，並於2018年和2022年在中國河海大學物聯網工程學院獲得信息與通信工程碩士和博士學位。他於2022年10月至2023年3月31日在韓國忠北國立大學的忠北信息技術教育與研究中心完成了Brain Korea 2021的博士後研究。目前，他是韓國嘉泉大學計算機工程系的助理教授。他在各種研究主題上發表了超過70篇同行評審的文章，並擔任多本知名期刊的審稿人。他的獎項和榮譽包括2015年巴基斯坦KPK科學與技術大學班努校區的最佳學生獎、2015年4月的巴基斯坦KPK科學與技術大學班努校區的總理筆記本電腦計劃獎、2019年6月河海大學物聯網工程學院的前十名學生獎、2019年6月河海大學的前一百名學生獎、2019-2020年江蘇省傑出國際學生獎（30,000人民幣）、2021年和2022年河海大學的認可證書、2022年5月河海大學的前一百名學生獎、2022年6月河海大學的前十名優秀學生獎，以及2022年10月巴基斯坦KPK科學與技術大學班努校區的傑出校友獎。他的研究興趣包括機器人技術、物聯網（IoT）、無線傳感器網絡（WSNs）、水下通信與定位、水下傳感器網絡（USNs）、人工智能（AI）、大數據、深度學習等。

穆罕默德·阿德南·汗博士（IEEE高級會員）目前在阿聯酋沙迦的Skyline大學計算學院擔任副教授。他於2016年在巴基斯坦伊斯蘭堡的以色拉大學獲得博士學位，並獲得巴基斯坦高等教育委員會的獎學金。他還在巴基斯坦伊斯蘭堡的國際伊斯蘭大學獲得碩士和學士學位，並獲得旁遮普省信息技術委員會的獎學金。在加入Skyline大學之前，汗博士在巴基斯坦和韓國擔任過多個學術和工業職位。他在計算機科學與工程領域教授研究生和本科生已有15年。他在知名國際期刊和國際會議上發表了超過240篇研究文章。汗博士的研究興趣主要包括機器學習、深度學習、計算智能的應用、智慧健康、智慧城市、聯邦學習、極端機器學習、MUD、影像處理和醫療診斷、多載波通信系統中的通道估計使用軟計算等。