Iot, Blockchain, and Smart Healthcare: Integration Techniques and Case Studies
暫譯: 物聯網、區塊鏈與智慧醫療：整合技術與案例研究

本書探討物聯網（IoT）、區塊鏈和智慧醫療的整合，提供對這些先進技術及其對醫療產業影響的全面分析。它提供了實際範例，說明如何利用區塊鏈和物聯網設備來解決現實世界中的醫療挑戰，並克服在醫療領域實施這些技術的障礙。

《物聯網、區塊鏈與智慧醫療：整合技術與案例研究》詳細探討了這些技術如何結合，讓讀者深入了解它們在革新醫療中的角色。它探討了區塊鏈和物聯網設備在解決醫療問題中的實際應用，並針對將這些技術納入醫療系統所面臨的挑戰進行討論。本書還提供了實用的指導，幫助讀者有效地將理論知識應用於現實情境中，實施尖端的方法論。

通過彌合技術與醫療之間的鴻溝，本書使複雜的概念對廣泛的讀者群體變得易於理解，包括醫療專業人員、研究人員、技術愛好者和政策制定者。

Manoj Kumar is presently working as an Associate Professor in the Department of Computer Science and Technology, at Manav Rachna University, Faridabad. He has over 14 years of experience including academics, industry, and research. He earned his Ph.D. in 2022, in the area of Computer Vision. Dr. Kumar has published many research papers related to moving object detection and tracking in videos and also extracts features of moving objects/vehicles from video in real-time video surveillance systems. He has published more than 10 papers in journals and has presented more than 40 papers at various international conferences. He has published 4 National Patents, has participated in various workshops and Faculty development programs, and has conducted various special sessions at many reputed conferences and workshops. His areas of expertise are Computer Vision, Artificial Intelligence, Machine Learning, Image Processing, IOT and Blockchain.

Urmila Pilania is currently working as an Associate Professor in the Department of Computer Science and Technology, at Manav Rachna University, Faridabad. She has 14 years of experience in academics and research and received her Engineering degree (B. Tech. in Computer Science & Engineering) in 2007 from Guru Jambheshwar University of Science and Technology, Hisar - Haryana (India). Dr. Pilania earned a master's degree (M.Tech. in Computer Science and Technology) in 2009 from Vaish College of Engineering, Rohtak- Haryana. She was awarded the doctoral degree (Ph.D. in Computer Science and Technology) in 2021 from Manav Rachna University, Faridabad, India. Dr. Pilania has published many research papers related to Information Security, object detection, and classification. She is the author of more than 46 research publications with journals/Conferences of repute and some papers are under review or in press for publication with leading publishers. She has published 3 National Patents, 3 Design Patents and 3 more are under Examination. She has participated in various workshops and FDPs and has also been associated with many conferences, and journals as a reviewer and a member of their technical committee along with delivering guest lectures. Her primary research interests are in Information Security, Image Processing, Machine Learning, and Artificial Intelligence.

Rohit Tanwar received his bachelor's degree in CSE from Kurukshetra University, Kurukshetra, India, and a master's Degree in CSE from YMCA University of Science and Technology, Faridabad, India. He received his Ph.D. in CSE from Kurukshetra University, Kurukshetra, and has more than 10 years of experience in teaching. Currently, he is working as an Associate Professor in the School of Computer Science at UPES Dehradun. He has more than forty publications to his credit in different reputed journals and conferences and his areas of interest include Network Security, Optimization Techniques, Human computing, Soft Computing, Cloud computing, Data Mining, etc.

Neelu Jyothi Ahuja is a Professor in the Department of Systemics, at the School of Computer Science at the University of Petroleum and Energy Studies, Dehradun. Her Ph.D. was awarded in 2010 and apart from academic teaching at the university level (both at post-graduate and undergraduate levels), she is an active researcher. From the period of 2010 to 2017, she was head of the Research Centre-Computing Research Institute, spearheading intra-disciplinary research and coordinating research activities. To her credit, she has successfully delivered half a dozen R&D projects and consultancies funded by the Department of Science and Technology (DST), GOI. She has been an invited speaker on various technical and research-oriented topics at widely acclaimed forums, both national and international, and is on the panel of various committees, including the WHO-Promotion of Assistive Products and Technologies, and the DST-Expert Committee for inspection and On-the-Spot review of CORE (long-term) projects. She has also been a chair at various conference sessions and different internal and external meetings/forums. She holds 22+ years of experience in teaching, research, and project proposal development and has published papers in journals and conferences at international and national levels. Her areas of interest include Machine Learning, Intelligent Systems, Intelligent Tutoring Systems, Expert Systems, Artificial Intelligence, ICT, Object-oriented development, and Programming Languages.

Mazdak Zamani earned his Ph.D. in Computer Science from Universiti Teknologi Malaysia (UTM) in 2011. He began his academic career as a Senior Lecturer at UTM's Advanced Informatics School, serving from 2011 to 2015. In 2015, he joined Wenzhou-Kean University as a full-time Assistant Professor in the Department of Computer Science. In Fall 2017, Dr. Zamani transitioned to Felician University, where he served as an Assistant Professor of Cybersecurity and Computer Science. His exceptional contributions led to his promotion to Associate Professor of Cybersecurity in 2020. Since 2021, he has also been an Adjunct Professor at the Graduate Division of the Courant Institute of Mathematical Sciences at New York University, teaching graduate-level courses in Applied Cryptography and Network Security. In Fall 2024, Dr. Zamani joined Empire State University, part of the State University of New York system, as an Assistant Professor in the Department of Computer Science and Technology.

**Manoj Kumar** 目前在法里達巴的 Manav Rachna 大學計算機科學與技術系擔任副教授。他擁有超過 14 年的學術、產業和研究經驗。2022 年，他在計算機視覺領域獲得博士學位。Kumar 博士發表了許多與視頻中移動物體檢測和跟踪相關的研究論文，並且在實時視頻監控系統中提取移動物體/車輛的特徵。他在期刊上發表了超過 10 篇論文，並在各種國際會議上發表了超過 40 篇論文。他擁有 4 項國家專利，參加了各種研討會和教師發展計劃，並在許多知名會議和研討會上主持了各種特別會議。他的專業領域包括計算機視覺、人工智慧、機器學習、影像處理、物聯網和區塊鏈。

**Urmila Pilania** 目前在法里達巴的 Manav Rachna 大學計算機科學與技術系擔任副教授。她在學術和研究方面擁有 14 年的經驗，並於 2007 年從印度哈里亞納邦希薩爾的 Guru Jambheshwar 科學與技術大學獲得工程學位（計算機科學與工程學士）。Pilania 博士於 2009 年從哈里亞納邦的 Vaish 工程學院獲得碩士學位（計算機科學與技術碩士）。她於 2021 年從法里達巴的 Manav Rachna 大學獲得博士學位（計算機科學與技術博士）。Pilania 博士發表了許多與資訊安全、物體檢測和分類相關的研究論文。她是超過 46 篇在知名期刊/會議上發表的研究出版物的作者，其中一些論文正在審核或已被主要出版商接受發表。她擁有 3 項國家專利、3 項設計專利，還有 3 項正在審查中。她參加了各種研討會和教師發展計劃，並且作為審稿人和技術委員會成員參與了許多會議和期刊，並進行了客座講座。她的主要研究興趣包括資訊安全、影像處理、機器學習和人工智慧。

**Rohit Tanwar** 在印度庫魯克舍特拉大學獲得計算機科學與工程學士學位，並在印度法里達巴的 YMCA 科學與技術大學獲得計算機科學與工程碩士學位。他在庫魯克舍特拉大學獲得計算機科學與工程博士學位，並擁有超過 10 年的教學經驗。目前，他在 UPES 德拉敦的計算機科學學院擔任副教授。他在不同的知名期刊和會議上發表了超過四十篇論文，研究興趣包括網絡安全、優化技術、人機計算、軟計算、雲計算、數據挖掘等。

**Neelu Jyothi Ahuja** 是德拉敦石油與能源研究大學計算機科學學院系統學系的教授。她於 2010 年獲得博士學位，除了在大學層面（研究生和本科生）進行學術教學外，她還是一位活躍的研究者。在 2010 年至 2017 年期間，她擔任計算研究所的研究中心主任，推動跨學科研究並協調研究活動。她成功交付了六個由印度科學與技術部（DST）資助的研發項目和顧問服務。她曾在國內外知名論壇上就各種技術和研究主題擔任受邀演講者，並參與了包括世界衛生組織（WHO）助理產品和技術促進小組及 DST 核查和現場審查 CORE（長期）項目的專家委員會等多個委員會。她還在各種會議會議和內部及外部會議/論壇中擔任主席。她擁有超過 22 年的教學、研究和項目提案開發經驗，並在國際和國內的期刊和會議上發表論文。她的研究興趣包括機器學習、智能系統、智能輔導系統、專家系統、人工智慧、資訊通信技術、面向對象的開發和程式語言。

**Mazdak Zamani** 於 2011 年在馬來西亞科技大學（UTM）獲得計算機科學博士學位。他的學術生涯始於 UTM 的高級資訊學院，擔任高級講師，任職於 2011 年至 2015 年。2015 年，他加入溫州肯恩大學，擔任計算機科學系的全職助理教授。2017 年秋季，Zamani 博士轉至 Felician 大學，擔任網絡安全和計算機科學的助理教授。他的卓越貢獻使他在 2020 年晉升為網絡安全副教授。自 2021 年以來，他還擔任紐約大學數學科學研究所研究生部的兼任教授，教授應用密碼學和網絡安全的研究生課程。2024 年秋季，Zamani 博士加入紐約州立大學系統的帝國州立大學，擔任計算機科學與技術系的助理教授。