Cognitive Cloud Computing: Building Intelligent Systems for Tomorrow
暫譯: 認知雲端運算：為未來構建智能系統

這本書作為一本全面的指南，涵蓋了雲端運算的基本原理、高級概念和實際應用。

- 討論了網路物理系統、環境管理的雲端整合，以及可持續運營的雲端安全智慧系統。
- 提供基於計算智慧的優化案例研究，針對可持續運營和雲端整合。
- 強調雲端運算如何徹底改變傳統流程，使組裝細節能直接輸入計算模型，簡化開發週期並降低成本。
- 通過提供問題編碼和實施策略的指導，縮短理論與實踐之間的距離，讓讀者能夠將所學知識應用於解決複雜的工業問題。
- 涵蓋了雲端時代的無線安全、機電一體化與雲端整合，以及支持環保運營的雲端製造。

本書主要針對電機工程、電子與通信工程、計算機工程及資訊科技的高年級本科生、研究生和學術研究人員撰寫。

Fr. Jossy George holds a dual degree in computer science and human resources and completed his FDPM from IIM, Ahmedabad. Awarded a doctorate in computer science from CHRIST University, Bengaluru, he specialized in image processing with a thesis titled "Development of Efficient Biometric Recognition Algorithms Based on Fingerprint and Face." An active member of various international associations, his primary research focus is on developing algorithms to enhance accuracy in biometrics. His extensive research portfolio includes numerous major and minor projects, notably in the realm of technology in higher education. He has authored multiple research papers published in both national and international journals. Beyond his research endeavors, he is a prolific author, having written two motivational books on management, namely, Boost Your Ability to Make Great Decisions and Leadership Par Excellence. Additionally, he coauthored the books Data Ethics and Challenges and Introduction to Principles of Data Science. Recognized for his outstanding contributions, he received the Visionary Leader of 2019 award for his exemplary role in education, skill development, and research. He was also honored with the Certificate of Academic Excellence (2021) for his dedicated contributions to Education, presented by H.D. Deve Gowda, former prime minister of India. Currently, he serves on several esteemed officiating bodies in the field of computer science and holds numerous patents and copyrights. Since 2002, he has been associated with CHRIST University (formerly Christ College), Bengaluru, India, and other affiliated institutions, assuming various roles. Presently, he serves as the director and CHRIST (Deemed to be University), BGR Campus Bengaluru, Karnataka, India.

Kamal Upreti is currently working as an associate professor in the Department of Computer Science, CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India. He completed his BTech (Hons.) from UPTU, MTech (Gold Medalist), PGDM (Executive) from IMT Ghaziabad, and PhD from the Department of Computer Science & Engineering. He has completed a postdoc at the National Taipei University of Business, Taiwan, funded by MHRD. He has published 50-plus patents, 32-plus magazine issues, and 135-plus research papers in various reputed journals and international conferences. His areas of interest include modern physics, data analytics, cybersecurity, machine learning, health care, embedded systems, and cloud computing. He has published more than 45 authored and edited books in reputed publications. He has many years of experience in corporate and teaching experience in engineering colleges. He 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. He also worked at NECHCL in Japan, where he had a project called "Hydrastore" funded by a collaboration between HCL and NECHCL. Upreti worked on a government project, "Integrated Power Development Scheme (IPDS)," launched by the Ministry of Power, Government of India, to strengthen the subtransmission and distribution network in urban areas. He recently completed work in collaboration with GB PANT & AIIMS Delhi on 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 in funding from DST SERB for conducting the International Conference, ICSCPS-2024. Recently, he got a 10 lakhs fund 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 best teacher, researcher, extra academic performer, and gold medalist in the MTech program.

Ramesh Chandra Poonia completed a postdoctoral fellowship at 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 post-doctoral fellowship on the International Collaborative Project for a prediction model for pandemic disease using machine learning at Oakland University, USA, and Imam University, Saudi Arabia. He received his PhD in computer science from Apaji Institute of Mathematics & Applied Computer Technology, Banasthali University, Banasthali, India, in July 2013. He has also completed a master of technology (MTech) in data science and engineering, Work Integrated Learning Programme (WILP) from Birla Institute of Technology and Science, Pilani (BITS Pilani), India. He works as a professor at the Department of Computer Science, CHRIST (Deemed to be University), Banglore, India. His research interests are sustainable technologies, cyber-physical systems, computational intelligence, and network protocol evaluation. He is chief editor of TARU Journal of Sustainable Technologies and Computing (TJSTC) and associate editor of the Journal of Sustainable Computing: Informatics and Systems. He also serves on the editorial boards of a few international journals. He is the principal author and coauthor of 6 books and an editor of more than 25 special issues of journals, books, and conference proceedings. He has also authored/coauthored 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 the conference series, International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM). He was endorsed with the prestigious Faculty Appreciation Award 2013 for commendable services.

Ankit Gautam, currently a project lead at BUSINESSNEXT with over eight years of industrial experience, excels in cloud-based solutions and fullstack artificial intelligence and data platforms for the banking, financial services, and insurance (BFSI) sector. Holding an MBA from K J Somaiya Institute of Management and a BTech in electrical and electronics engineering, he combines technical expertise with managerial acumen. Having previously contributed significantly to Adani, Bajaj, and Fino Payment Bank, his diverse experience showcases adaptability across industries. He specializes in steering projects toward efficiency and security through cloud computing. His expertise in full-stack development underscores his capability to handle end-to-end solutions, particularly in the BFSI domain, where he navigates complexities related to security and compliance. He emerges as a dynamic professional, seamlessly integrating technology and business strategies to address contemporary challenges in the ever-evolving corporate landscape.

Danish Nadeem is a senior data scientist and technical consultant working in the Netherlands. Along with his education in computer science and artificial intelligence from Germany, he has over 18 years of industry and research experience on the applications of cutting-edge AI-based and machine learning technologies while working within EU-funded framework and Horizon2020 projects. Working in industries such as education, health, pharmaceuticals, media and entertainment, finance, and logistics, he has also contributed about 13 research publications in various international conferences and journals. He spent several years working in R&D at the German Research Center for Artificial Intelligence before moving to the Netherlands to further develop his career by taking up leading roles, advocating innovative information and communication technologies. With years of experience living and working in Europe, he has been actively involved in promoting strategies for tech startups, innovation, and entrepreneurship, as well as mentoring young professionals for careers in academic research and industry.

Fr. Jossy George 擁有計算機科學和人力資源的雙學位，並完成了印度艾哈邁達巴德的 IIM 的 FDPM。他在班加羅爾的 CHRIST 大學獲得計算機科學博士學位，專攻影像處理，論文題目為「基於指紋和面部的高效生物識別算法的開發」。作為多個國際協會的活躍成員，他的主要研究重點是開發算法以提高生物識別的準確性。他的廣泛研究作品包括多個重大和次要項目，特別是在高等教育技術領域。他已發表多篇研究論文，並在國內外期刊上發表。除了研究工作外，他還是一位多產的作者，撰寫了兩本管理方面的勵志書籍，分別是《提升你做出偉大決策的能力》和《卓越領導力》。此外，他還共同編寫了《數據倫理與挑戰》和《數據科學原則導論》這兩本書。因其卓越貢獻，他獲得了2019年願景領袖獎，以表彰他在教育、技能發展和研究方面的模範角色。他還因對教育的貢獻而獲得了學術卓越證書（2021），由印度前總理 H.D. Deve Gowda 頒發。目前，他在計算機科學領域的多個知名機構擔任職務，並擁有多項專利和版權。自2002年以來，他一直與印度班加羅爾的 CHRIST 大學（前身為 Christ College）及其他附屬機構合作，擔任多個角色。目前，他擔任 CHRIST（被認定為大學）班加羅爾 BGR 校區的主任。

Kamal Upreti 目前在印度德里 NCR 的 CHRIST（被認定為大學）計算機科學系擔任副教授。他在 UPTU 獲得 BTech（榮譽），在 IMT Ghaziabad 獲得 MTech（金獎得主），並在計算機科學與工程系獲得 PhD。他在台灣國立台北商業大學完成了由 MHRD 資助的博士後研究。他已發表超過50項專利、32期雜誌和135篇研究論文於各種知名期刊和國際會議上。他的研究興趣包括現代物理、數據分析、網絡安全、機器學習、醫療保健、嵌入式系統和雲計算。他在知名出版物中發表了超過45本著作和編輯的書籍。他在工程學院擁有多年企業和教學經驗，曾在 HCL、NECHCL、印度亨敦斯坦時報、德拉敦技術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 合作資助。Upreti 參與了由印度政府電力部啟動的「綜合電力發展計劃（IPDS）」的政府項目，旨在加強城市地區的次傳輸和配電網絡。他最近完成了與 GB PANT 和 AIIMS 德里合作的 ICMR 計劃資助項目，該項目使用機器學習技術預測心血管疾病的中風，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。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 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，如技能培訓、企業培訓、客座教授和教師發展計劃。他在 MTech 課程中獲得最佳教師、研究者、課外表現者和金獎得主的榮譽。

Ramesh Chandra Poonia 在挪威科技大學（NTNU）ICT 和自然科學系的網絡物理系統實驗室（CPS Lab）完成了博士後研究。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的疫情疾病預測模型的兼職博士後研究。他於2013年7月在印度班納斯塔利大學的 Apaji 數學與應用計算機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）獲得數據科學與工程的技術碩士（MTech）學位，並參加了工作整合學習計劃（WILP）。他目前在印度班加羅爾的 CHRIST（被認定為大學）計算機科學系擔任教授。他的研究興趣包括可持續技術、網絡物理系統、計算智能和網絡協議評估。他是《可持續技術與計算期刊》（TJSTC）的主編，並擔任《可持續計算：信息學與系統期刊》的副編輯。他還在幾本國際期刊的編輯委員會中任職。他是6本書的主要作者和共同作者，並編輯了超過25本期刊、書籍和會議論文的特刊。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，他還是國際期刊和會議的定期審稿人。他還擔任國際會議系列的會議主席，該會議名為「可持續計算在科學、技術和管理中的國際會議（SUSCOM）」。他因卓越服務而獲得了2013年著名的教師表彰獎。

Ankit Gautam 目前在 BUSINESSNEXT 擔任項目負責人，擁有超過八年的行業經驗，專注於雲端解決方案和全棧人工智慧及數據平台，特別是在銀行、金融服務和保險（BFSI）領域。他擁有 K J Somaiya 管理學院的 MBA 和電氣與電子工程的 BTech 學位，將技術專業知識與管理才能相結合。他曾在 Adani、Bajaj 和 Fino Payment Bank 等公司做出重要貢獻，展現了他在各行各業的適應能力。他專注於通過雲計算推動項目的效率和安全性。他在全棧開發方面的專業知識突顯了他處理端到端解決方案的能力，特別是在 BFSI 領域，面對與安全和合規相關的複雜性。他是一位充滿活力的專業人士，無縫整合技術和商業策略，以應對不斷變化的企業環境中的當代挑戰。

Danish Nadeem 是一位在荷蘭工作的高級數據科學家和技術顧問。他在德國接受計算機科學和人工智慧的教育，擁有超過18年的行業和研究經驗，專注於尖端 AI 和機器學習技術的應用，並參與 EU 資助的框架和 Horizon2020 項目。他在教育、健康、製藥、媒體和娛樂、金融及物流等行業工作，並在各種國際會議和期刊上發表了約13篇研究論文。他在德國人工智慧研究中心的研發部門工作了幾年，然後移居荷蘭，進一步發展自己的職業生涯，擔任領導角色，倡導創新的信息和通信技術。多年來，他在歐洲生活和工作，積極參與推動科技初創企業、創新和創業的策略，並指導年輕專業人士在學術研究和行業中的職業發展。