Green Bytes: Mitigating the Environmental Impact of Digital Technologies
暫譯: 綠色位元：降低數位科技對環境的衝擊

本書探討數位科技產業所面臨的環境挑戰，並提出可實際執行的解決方案，以減輕其環境影響。內容詳細檢視數位科技在整個生命週期中的環境足跡，涵蓋從資源開採到產品淘汰與處置的各個階段。本書探討先進的節能技術，包括再生能源整合，以及資料中心的電力最佳化策略；同時也提供環境友善產品設計與創新製造流程的相關見解。書中深入討論提升能源效率、整合再生能源，以及最佳化冷卻與電力管理的整體策略。此外，本書亦評估全球相關政策及其成效，並提出一套健全的架構，以因應數位科技對環境造成的影響。

本書主要寫給電機工程、通信工程、資訊工程、環境工程與資訊科技等領域的高年級大學生、研究生及學術研究人員，作為理解並處理數位創新環境影響的重要參考資源。

Mudassir Khan is a distinguished academician, researcher, author, and consultant in computer science and Artificial intelligence and currently associated with King Khalid University, Saudi Arabia. He holds an MCA from Gautam Budh Technical University, India, and a Ph.D. in Big Data Analytics using Deep Learning from Noida International University, India. He is currently pursuing a postdoctoral fellowship at Multimedia University, Malaysia, and serves as Co-Supervisor for Postgraduate Studies at Lincoln University College, Malaysia. With over 13 years of teaching and research experience, his expertise includes Big Data, Deep Learning, Machine Learning, Data Science, IoT, Artificial Intelligence, and medical imaging. He has published 140+ research articles in SCI, SCIE, and SCOPUS-indexed journals, edited books with reputed international publishers, and authored four computer science books.

Jehad Ali (PhD, Computer Science and Engineering, Senior Member IEEE) is currently working as a professor at the Department of Artificial Intelligence Convergence Network, Ajou University, South Korea. Previously, he worked as an assistant professor at the Department of Computer Science and Engineering, Sejong University, South Korea. He has published more than 60 peer-reviewed papers in various journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Intelligent Transportation Systems, IEEE Internet of Things Journal, IEEE Internet-of-Things magazine, IEEE Access, Sensors, Electronics, Applied Sciences, PLOS One, etc., with a cumulative impact factor of more than 150 according to JCR 2021. His research interests include, but are not limited to, Software-Defined Networking, extending it for 5G/6G issues, and improving QoS with SDN, Internet of Things, wireless sensor networks, and applications of machine learning in communication, networking, and healthcare.

Mazhar Malik (SFHEA, SMIEEE, CEng, FBCS, CITP) currently serves as the Associate Director/Head of Intelligent Systems at the School of Computing and Creative Technologies, University of the West of England, Bristol, United Kingdom. He brings a wealth of experience and expertise in the fields of IoT, cybersecurity, and digital forensics. Before this role, he was Programme Director and Senior Lecturer in Cyber Security and Digital Forensics at the Cardiff School of Technologies, Cardiff Metropolitan University, United Kingdom. He is actively involved in the accreditation of programs by the British Computer Society (BCS) and he reviews programs for accreditation by MOHERI and OAAA in Oman, China, Pakistan, and Malaysia. Beyond his academic commitments, he serves on the editorial boards of several international peer-reviewed journals.

Surajit Mondal is currently associated with Amity University, Bengaluru, India. He is a certified ISO 50001:2018 Lead Auditor for Energy Management Systems by CQI and IRCA and has over 10 years of experience in teaching, research, research management, project management, and academic activities. He has published 65 research articles, including 50 papers in Scopus- and SCI-indexed journals, and is involved in several edited books with international academic publishers. He has also contributed significantly to innovation and technology development, with 98 patents, including 46 granted patents. His research interests include energy management, renewable energy, sustainability, energy-efficient technologies, digital technologies, smart systems, and emerging interdisciplinary engineering applications.

Mudassir Khan 是電腦科學與人工智慧領域傑出的學者、研究人員、作者及顧問，目前任職於沙烏地阿拉伯的 King Khalid University。他持有印度 Gautam Budh Technical University 的 MCA 學位，以及印度 Noida International University 以 Deep Learning 進行 Big Data Analytics 研究所取得的博士學位。目前，他正在馬來西亞 Multimedia University 進行博士後研究，並擔任馬來西亞 Lincoln University College 研究所課程的共同指導教授。他擁有超過 13 年的教學與研究經驗，專長包括 Big Data、Deep Learning、Machine Learning、Data Science、IoT、Artificial Intelligence 及醫學影像。他已在 SCI、SCIE 與 SCOPUS 索引期刊發表 140 多篇研究論文，並與知名國際出版社合作編輯書籍，以及著有四本電腦科學書籍。

Jehad Ali（電腦科學與工程博士、IEEE 資深會員）目前任職於南韓 Ajou University 人工智慧融合網路系，擔任教授。此前，他曾任職於南韓 Sejong University 電腦科學與工程系，擔任助理教授。他已在多種期刊發表超過 60 篇經同儕審查的論文，包括 IEEE Transactions on Industrial Informatics、IEEE Transactions on Intelligent Transportation Systems、IEEE Internet of Things Journal、IEEE Internet-of-Things magazine、IEEE Access、Sensors、Electronics、Applied Sciences、PLOS One 等。根據 2021 年 JCR，其論文累計影響因子超過 150。他的研究興趣包括但不限於 Software-Defined Networking、針對 5G/6G 議題延伸 Software-Defined Networking 的應用、運用 SDN 改善 QoS、Internet of Things、無線感測網路，以及 Machine Learning 在通訊、網路與醫療保健領域的應用。

Mazhar Malik（SFHEA、SMIEEE、CEng、FBCS、CITP）目前擔任英國布里斯托 University of the West of England 計算與創意科技學院智慧系統副主任兼主管。他在 IoT、網路安全與數位鑑識領域具備豐富的經驗與專業知識。在擔任現職之前，他曾於英國 Cardiff Metropolitan University 的 Cardiff School of Technologies 擔任網路安全與數位鑑識課程主任及資深講師。他積極參與 British Computer Society（BCS）的課程認證工作，也為阿曼、中國、巴基斯坦與馬來西亞的 MOHERI 和 OAAA 認證審查課程。此外，除了學術工作之外，他也擔任多本國際同儕審查期刊的編輯委員。

Surajit Mondal 目前任職於印度 Bengaluru 的 Amity University。他是由 CQI 與 IRCA 認證、專長於能源管理系統的 ISO 50001:2018 主任稽核員，並擁有超過 10 年的教學、研究、研究管理、專案管理及學術活動經驗。他已發表 65 篇研究論文，其中包括 50 篇刊登於 Scopus 與 SCI 索引期刊的論文，並參與多本由國際學術出版社出版的編輯書籍。他也對創新與技術發展作出重大貢獻，擁有 98 項專利，其中包括 46 項已獲核准的專利。他的研究興趣包括能源管理、再生能源、永續發展、能源效率技術、數位技術、智慧系統，以及新興的跨領域工程應用。