Digital Technologies for Underwater Surveillance and Management: Data Analytics and Remote Sensing
暫譯: 水下監測與管理的數位技術：資料分析與遙測

本書提供一套技術性且實務導向的路線圖，說明如何運用先進 AI、資料分析與感測技術來守護水下領域。本書涵蓋合成孔徑聲納（synthetic aperture sonar，SAS）、LiDAR、高光譜成像，以及以衛星為基礎的系統等尖端工具，用於偵測水下威脅、環境危害與非法海事活動。透過整合 AI、IoT、深度學習與區塊鏈，本書提出可擴展且自主化的解決方案，應用於異常偵測、風險評估與安全的海洋監控。聚焦於海軍防衛、災害應變與生態保護，本書統整說明數位技術如何重新定義水下監測與威脅緩解。

主要特色：

- 討論運用深度學習與預測分析進行聲納資料解讀及水下異常偵測。
- 涵蓋多感測器遙測技術，包括用於威脅識別的 LiDAR、SAS 與高光譜成像。
- 探討部署 IoT 裝置支援的海洋感測器網路，以及自主式水下載具（autonomous underwater vehicles，AUVs）。
- 討論運用區塊鏈與網路安全策略來保護水下監控資料。
- 納入環境監測應用，包括原油外洩、珊瑚礁健康狀況與水下地震。
- 檢視海軍防衛、非法捕魚，以及 AI 驅動海洋監控系統等案例研究。
- 提供 CNN、RNN 與強化學習等 AI 模型的技術解析，說明其在物件分類與追蹤上的應用。

本書適合對水下威脅偵測與安全系統感興趣的研究人員、專業人士與科學家。

Vishal Jain is presently working as a Professor at the Department of Computer Science & Engineering, School of Engineering & Technology, Vivekananda Institute of Professional Studies-Technical Campus, New Delhi. Before that, he worked as Professor at Sharda University, Greater Noida and Associate Professor at Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi. He has associated as a member of the Faculty Board, Board of Planning and Management, Executive Council, Academic Council, Curriculum Development and Review Committee and Academic Audit of various higher-education institutions. He is associated with Kuala Lumpur University of Science and Technology (KLUST) (formerly known as Infrastructure University Kuala Lumpur (IUKL)), Malaysia, Lincoln University College, Malaysia, and the Research Institute of IoT Cybersecurity, Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Taiwan for research-oriented activities. He has supervised three Ph.D. students, and two scholars are pursuing their degrees under his mentorship. He has more than 3400 research citations with Google Scholar (h-index score 30 and i-10 index 66) and has authored more than 250 research papers in professional journals and conferences. He has authored and edited more than 70 books (most of them are indexed at SCOPUS) with various reputed publishers, including Elsevier, Springer, IET, Apple Academic Press, CRC, Taylor and Francis Group, Scrivener, Wiley, Emerald, NOVA Science, River Publishers, IGI-Global, and Bentham Science. He has more than 300 SCOPUS publications. He is the book series editor of ten book series with reputed international publishers. Along with the regular teaching, he has organized various conferences, faculty development program, seminars, hackathon, faculty- and students-oriented activities. His research areas include machine learning, information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, sensor networks, and network security. He received a Young Active Member Award for the year 2012-13 from the Computer Society of India, and Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi.

Hamed Taherdoost is an award-winning leader in research and development, known for his contributions across both industry and academia. He is the Founder of Hamta Business Corporation, Associate Professor and Chair of RSAC at University Canada West, and Director of R&D at Q Minded Quark Minded Technology Inc. He has over 20 years of experience in both industry and academic sectors. He has worked at international companies from Cyprus, the UK, Malta, Iran, Malaysia, and Canada and has been highly involved in the development of several projects in different industries, healthcare, transportation, residential, oil and gas and IT. Additionally, he has served as a trusted technical and technology consultant for multiple companies, providing advisory and mentorship. Dr. Taherdoost has extensive experience in research and development, particularly in the SR&ED domain, with a 100% success rate in over 100 projects, resulting in claims exceeding $30 million. His leadership roles have spanned multiple six-figure companies, including serving in "C"-level positions. He specializes in guiding startups and has played a critical role in scaling innovative projects across various industries. His contributions have cemented his reputation as a leader in fostering innovation and delivering impactful solutions. In academia, Dr. Taherdoost has held teaching positions in Southeast Asia, the Middle East, Europe, and North America since 2009. He began his academic career as a lecturer at AU & PNU and later served as an adjunct professor and faculty fellow at Westcliff University, USA and Gisma University of Applied Sciences, Germany. His research tenure at IAU lasted over eight years, during which he supervised numerous students.

Arvind Panwar is a distinguished researcher, academician, and a professor with over 15 years of experience in Computer Science and Engineering, Galgotias University. He holds a Ph.D. from Guru Gobind Singh Indraprastha University, where his thesis focused on designing a secure cloudbased blockchain framework for health record management. His expertise spans blockchain technology, information security, cybersecurity, and data analytics. Dr. Panwar is actively involved in academic publishing, having authored nine SCI/SCOPUS-indexed journal articles, 15 conference papers, and 18 book chapters. He is currently editing three significant books for esteemed publishers: Data Analytics and Artificial Intelligence for Predictive Maintenance in Industry 4.0 for Bentham, Qubits Unveiled: Quantum Computing Solutions for Efficient Supply Logistics for Nova Publications, and Energy Efficient Internet of Things-Based Wireless Sensor Network for Wiley-Scrivener Publishing LLC. These works highlight his expertise in cutting-edge technologies and their applications in modern industry and logistics. A prolific innovator, Dr. Panwar holds eight granted patents and 11 published patents in the domains of blockchain, AI, and IoT applications. His academic contributions include mentoring graduate students, spearheading interdisciplinary research, and engaging in global collaborations, such as his visiting professorship at South Kazakhstan Pedagogical University. Dr. Panwar's dedication to advancing technological innovation and his extensive academic achievements make him a leading figure in bridging research and industry.

Khadija Slimani, Higher School of Computer Science Electronics and Automation (ESIEA), completed her Ph.D., which was jointly supervised by the Ibn Tofail University in Morocco and the University of Technology of Belfort-Montbeliard (UTBM) in France. This collaborative international effort showcased her commitment to academic excellence and cross-cultural research. During her doctoral studies, Dr. Slimani delved into the realms of machine learning, deep learning, pattern recognition, and computer vision, with a specific focus on academic emotion recognition. This interdisciplinary approach, spanning both Moroccan and French academic environments, enriched
her research experience and contributed to the global perspective of her work. After completing her Ph.D. thesis, Dr. Slimani pursued a postdoctoral position at the University of Poitiers, France, demonstrating her versatility in research by delving into Objects DRI (Detection, Recognition, and Identification). Her application of AI methodologies aimed at enhancing video-content filtering for optimal security reflected the international scope of her expertise. Dr. Slimani's academic contributions
extended to various engineering schools in Paris, France, where she took on teaching responsibilities across multiple modules, including data science, deep learning, machine learning, data bases, and computer vision. She is currently holding the esteemed title of Associate Professor at the Graduate School of Automatic Electronic Computing in Paris, France. Her scholarly achievements include over 18 published articles in esteemed journals and conferences, supported by an impressive h-index of 10 in SCOPUS. Notably, she played a key role as a guest editor for the special issue "Integrating Intelligence: Advancements in Applied Research with Smart Technologies" in
the Journal of Autonomous Intelligence (eISSN: 2630-5046) and served as a guest editor for the proceedings published in E3S Web of Conference 2022 and 2023, both SCOPUS/web of science indexed. Through her diverse roles, Dr. Slimani consistently inspires and contributes to shaping the next generation of researchers.

Vishal Jain 目前擔任 Vivekananda Institute of Professional Studies-Technical Campus（新德里）工程與技術學院電腦科學與工程系教授。在此之前，他曾任職於 Sharda University（Greater Noida）教授，以及 Bharati Vidyapeeth's Institute of Computer Applications and Management（BVICAM，新德里）副教授。他曾擔任多所高等教育機構的 Faculty Board、Planning and Management Board、Executive Council、Academic Council、課程開發與審查委員會，以及學術稽核等組織的成員。他目前與馬來西亞 Kuala Lumpur University of Science and Technology（KLUST，前身為 Infrastructure University Kuala Lumpur（IUKL））、馬來西亞 Lincoln University College，以及臺灣 National Kaohsiung University of Science and Technology 電子工程系 Research Institute of IoT Cybersecurity 合作，從事研究相關活動。他已指導三名 Ph.D. 學生，另有兩名研究學者正在其指導下攻讀學位。他在 Google Scholar 上擁有超過 3,400 次研究引用（h-index 為 30，i-10 index 為 66），並在專業期刊與會議上發表超過 250 篇研究論文。他與多家知名出版社合作，撰寫及編輯超過 70 本書籍，其中大多數已收錄於 SCOPUS，包括 Elsevier、Springer、IET、Apple Academic Press、CRC、Taylor and Francis Group、Scrivener、Wiley、Emerald、NOVA Science、River Publishers、IGI-Global 及 Bentham Science。他擁有超過 300 篇 SCOPUS 收錄出版品，並擔任十套國際知名出版社書籍系列的系列主編。除了例行教學工作外，他也曾籌辦各類會議、教師發展計畫、研討會、黑客松，以及面向教師與學生的各項活動。他的研究領域包括 machine learning、information retrieval、semantic web、ontology engineering、data mining、ad hoc networks、sensor networks 及 network security。他曾獲 Computer Society of India 頒發 2012–13 年度 Young Active Member Award，並獲 BVICAM（新德里）頒發 2017 年 Best Faculty Award 及 2019 年 Best Researcher Award。

Hamed Taherdoost 是一位屢獲殊榮的研究與開發領導者，以其在產業界與學術界的貢獻而知名。他是 Hamta Business Corporation 的創辦人、University Canada West 的副教授兼 RSAC 主席，以及 Q Minded Quark Minded Technology Inc. 的研發主管。他在產業界與學術界均擁有超過 20 年的經驗，曾任職於來自 Cyprus、英國、Malta、伊朗、馬來西亞及加拿大的國際企業，並高度參與醫療保健、運輸、住宅、石油與天然氣，以及 IT 等不同產業的多項專案開發。此外，他也曾擔任多家公司的技術與科技顧問，提供諮詢與指導。Taherdoost 博士在研究與開發方面擁有豐富經驗，尤其專精於 SR&ED 領域；他參與超過 100 項計畫，成功率達 100%，協助提出的申請金額超過 3,000 萬美元。他曾在多家年營收達數十萬美元以上的公司擔任領導職務，包括擔任 C-level 職位。他專長於指導新創企業，並在各產業創新專案的擴展過程中扮演關鍵角色。他的貢獻奠定了其在促進創新及提供具影響力解決方案方面的領導者聲譽。

在學術界，自 2009 年起，Taherdoost 博士便於東南亞、中東、歐洲及北美擔任教學職務。他的學術生涯始於 AU 與 PNU 講師，之後曾任美國 Westcliff University 及德國 Gisma University of Applied Sciences 的兼任教授與 faculty fellow。他在 IAU 的研究任期超過八年，期間指導了眾多學生。

Arvind Panwar 是一位傑出的研究人員、學者及教授，在 Galgotias University 從事 Computer Science and Engineering 教學與研究超過 15 年。他取得 Guru Gobind Singh Indraprastha University 的 Ph.D. 學位，博士論文聚焦於設計用於健康紀錄管理的安全 cloud-based blockchain framework。他的專長涵蓋 blockchain technology、information security、cybersecurity 及 data analytics。Panwar 博士積極參與學術出版，已發表九篇 SCI/SCOPUS 收錄期刊論文、15 篇會議論文及 18 篇書籍章節。目前，他正為知名出版社編輯三本重要著作：Bentham 出版的 Data Analytics and Artificial Intelligence for Predictive Maintenance in Industry 4.0、Nova Publications 出版的 Qubits Unveiled: Quantum Computing Solutions for Efficient Supply Logistics，以及 Wiley-Scrivener Publishing LLC 出版的 Energy Efficient Internet of Things-Based Wireless Sensor Network。這些著作展現了他在尖端科技及其於現代產業與物流領域應用方面的專業能力。

Panwar 博士也是一位多產的創新者，在 blockchain、AI 及 IoT 應用領域擁有八項已核准專利及 11 項已公開專利。他的學術貢獻包括指導研究生、主導跨領域研究，以及參與全球合作，例如擔任 South Kazakhstan Pedagogical University 的客座教授。Panwar 博士致力於推動科技創新，並擁有豐富的學術成就，是連結研究與產業的重要人物。

Khadija Slimani 任職於 Higher School of Computer Science Electronics and Automation（ESIEA）。她的 Ph.D. 學位由摩洛哥 Ibn Tofail University 與法國 University of Technology of Belfort-Montbeliard（UTBM）共同指導完成。這項國際合作展現了她對學術卓越及跨文化研究的投入。在博士研究期間，Slimani 博士深入探討 machine learning、deep learning、pattern recognition 及 computer vision 等領域，並特別聚焦於學術情緒辨識。這種橫跨摩洛哥與法國學術環境的跨領域研究方式，豐富了她的研究經驗，也為其工作增添全球視野。

完成 Ph.D. 論文後，Slimani 博士於法國 University of Poitiers 擔任博士後研究員，進一步研究 Objects DRI（Detection、Recognition and Identification，偵測、辨識與識別），展現其多元的研究能力。她運用 AI 方法改善影片內容過濾，以提升安全性，充分反映其專業能力的國際性。Slimani 博士也曾在法國巴黎的多所工程學校任教，負責 data science、deep learning、machine learning、databases 及 computer vision 等多個模組。目前，她擔任法國巴黎 Graduate School of Automatic Electronic Computing 的副教授。

她的學術成果包括在知名期刊與會議發表超過 18 篇文章，並在 SCOPUS 擁有優異的 h-index 10。值得一提的是，她曾擔任 Journal of Autonomous Intelligence（eISSN: 2630-5046）特刊「Integrating Intelligence: Advancements in Applied Research with Smart Technologies」的客座編輯，也曾擔任發表於 E3S Web of Conferences 2022 與 2023 論文集的客座編輯；這兩份論文集均收錄於 SCOPUS/Web of Science。透過多元的職務與貢獻，Slimani 博士持續啟發並協助培育新一代研究人員。