Internet of Energy for Smart Cities: Machine Learning Models and Techniques
暫譯: 智慧城市的能源網路：機器學習模型與技術

本書的重點在於使用機器學習方法，針對智慧城市中的物聯網（IoE）網路提出各種解決方案，以解決需求響應管理、資源管理以及有效利用基礎資訊通信技術（ICT）網路等各種研究空白。這有助於讀者建立技術理解。

Anish Jindal:

Dr. Anish Jindal is working as a Lecturer (Assistant Professor) in the School of Computer Science and Electronic Engineering (CSEE), University of Essex since Mar 2020. Prior to this, he worked as a senior research associate at the School of Computing & Communications, Lancaster University, UK from Oct. 2018 to Mar. 2020. He completed his Ph.D., M.Engg. and B. Tech. degrees in computer science engineering in 2018, 2014, and 2012, respectively. He is the recipient of the Outstanding Ph.D. Dissertation Award, 2019 from the IEEE Technical Committee on Scalable Computing (TCSC) and conferred with the IEEE Communication Society's Outstanding Young Researcher Award for Europe, Middle East, and Africa (EMEA) Region, 2019. He has also been a visiting researcher to OFFIS - Institute for Information Technology, Germany in 2019. His research interests are in the areas of smart cities, data analytics, artificial intelligence, cyber-physical systems, wireless networks, and security. Some of his research findings are published in top-cited journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Vehicular Technology, IEEE Communication Magazine, IEEE Network, Future Generation Computer Systems, and Computer Networks. In addition to it, his research works have also been presented in various conferences of repute such as IEEE ICC, IEEE Globecom, IEEE WiMob, IEEE PES General Meeting, ACM MobiHoc, etc. He has served as General co-chair, TPC co-chair, TPC member, Publicity chair and Session chair of various reputed conferences and workshops including IEEE ICC, IEEE WoWMoM, IEEE INFOCOM and IEEE GLOBECOM. He is also the guest editor of various journals including Software: Practice and Experience (Wiley), Neural Computing & Applications (Springer), Computer Communications (Elsevier), and Computers (MDPI). He has also delivered many invited talks and lectures in various international avenues. He is a member of the ACM, IEEE, and actively involved with various working groups and committees of IEEE and ACM related to smart grid, energy informatics and smart cities.

Neeraj Kumar:

Prof. Neeraj Kumar (SMIEEE) (2019, 2020 highly-cited researcher from WoS) is working as a Full Professor in the Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology (Deemed to be University), Patiala (Pb.), India. He is also adjunct professor at Asia University, Taiwan, King Abdul Aziz University, Jeddah, Saudi Arabia. He has published more than 400 technical research papers (DBLP: https: //dblp.org/pers/hd/k/Kumar_0001: Neeraj) in top-cited journals and conferences which are cited more than 14802 times from well-known researchers across the globe with current h-index of 65 (Google scholar: https: //scholar.google.com/citations?hl=en&user=gL9gR-4AAAAJ). He is highly cited researcher in 2019, 2020 in the list released by Web of Science (WoS). He has guided many research scholars leading to Ph.D. and M.E./M.Tech. His research is supported by funding from various competitive agencies across the globe. His broad research areas are Green computing and Network management, IoT, Big Data Analytics, Deep learning and cyber-security. He has also edited/authored 10 books with International/National Publishers like IET, Springer, Elsevier, CRC. Security and Privacy of Electronic Healthcare Records: Concepts, paradigms and solutions (ISBN-13: 978-1-78561-898-7), Machine Learning for cognitive IoT, CRC Press, Blockchain, Big Data and Machine learning, CRC Press, Blockchain Technologies across industrial vertical, Elsevier, Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms and Solutions (ISBN: 978-981-13-8759-3), Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019) (ISBN 978-981-15-3369-3). Probabilistic Data Structures for Blockchain based IoT Applications, CRC Press. One of the edited text-book entitled, "Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms, and Solutions" published in Springer in 2019 is having 3.5 million downloads till 06 June 2020. It attracts attention of the researchers across the globe. (https: //www.springer.com/in/book/9789811387586).

He is serving as editors of ACM Computing Survey, IEEE Transactions on Sustainable Computing, IEEE Systems Journal, IEEE Network Magazine, IEEE Communication Magazine, Elsevier Journal of Networks and Computer Applications, Elsevier Computer Communication, Wiley International Journal of Communication Systems. Also, he has organized various special issues of journals of repute from IEEE, Elsevier, Springer. He has been a workshop chair at IEEE Globecom 2018, IEEE Infocom 2020 (https: //infocom2020.ieee-infocom.org/workshop-blockchain-secure-software-defined-networking-smart-communities) and IEEE ICC 2020 (https: //icc2020.ieee-icc.org/workshop/ws-06-secsdn-secure-and-dependable-software-defined-networking-sustainable-smart) and track chair of Security and privacy of IEEE MSN 2020 (https: //conference.cs.cityu.edu.hk/msn2020/cf-wkpaper.php). He is also TPC Chair and member for various International conferences such as IEEE MASS 2020, IEEE MSN2020. He has won the best papers award from IEEE Systems Journal and IEEE ICC 2018, Kansas-city in 2018. He won the best researcher award from parent organization every year from last eight consecutive years.

Gagangeet Singh Aujla:

Dr. Gagangeet Singh Aujla is an Assistant Professor of Computer Science at Durham University. Before this, he worked as a post-doctoral research associate at Newcastle University, a research associate at Thapar University (India), a visiting researcher at University of Klagenfurt (Austria) and on various academic positions for more than a decade. He received his PhD degree from the Thapar University (India), Master and Bachelor degrees from the Punjab Technical University (India). For his contributions to the area of scalable and sustainable computing, he was awarded the 2018 IEEE TCSC Outstanding PhD Dissertation Award of Excellence. The main theme of his research is energy-efficient, reconfigurable, resilient and intelligent surfaces (smart city, smart grid, IoT-Edge-Cloud systems, healthcare systems, transportation systems). To develop himself as a researcher, he worked on various research projects awarded by EPSRC, the Department of Science and Technology (India), and Austrian Federal Ministry of Education, Science and Research. This facilitated his collaboration with international researchers from the UK, US, Canada, Australia, China, Austria, Brazil, and India. Together, the group published several research papers in the fields of software-defined networking, energy-efficient cloud data centres, edge-cloud computing, blockchain, particularly focusing on the creation of reconfigurable, resilient and intelligent surfaces. He led his team organizing workshops (SecSDN and BlockSecSDN) in conjunction with different IEEE Communication Society conferences like IEEE Infocom, IEEE Globecom, IEEE ICC, and many more. Contributing to the research community, he is serving as Associate Editor for Ad-hoc Networks and Topic Editor for Sensors, a Guest Editor for IEEE Transaction on Industrial Informatics, IEEE Network, Neural Computing and Applications (Springer), Computer Communications (Elsevier), and Transactions on Emerging Telecommunications (Wiley).

Anish Jindal：

Anish Jindal 博士自 2020 年 3 月起在英國埃塞克斯大學計算機科學與電子工程學院擔任講師（助理教授）。在此之前，他於 2018 年 10 月至 2020 年 3 月在英國蘭卡斯特大學計算與通信學院擔任高級研究助理。他於 2018 年、2014 年和 2012 年分別獲得計算機科學工程的博士、碩士和學士學位。他是 2019 年 IEEE 可擴展計算技術委員會（TCSC）頒發的傑出博士論文獎的獲得者，並獲得 2019 年 IEEE 通信學會歐洲、中東和非洲（EMEA）地區的傑出青年研究者獎。他於 2019 年曾作為訪問研究員前往德國 OFFIS - 信息技術研究所。他的研究興趣包括智慧城市、數據分析、人工智慧、網絡物理系統、無線網絡和安全性。他的一些研究成果發表在多個高引用的期刊上，如 IEEE 工業信息學期刊、IEEE 工業電子學期刊、IEEE 車輛技術期刊、IEEE 通信雜誌、IEEE 網絡、未來一代計算機系統和計算機網絡。此外，他的研究工作也在多個知名會議上發表，如 IEEE ICC、IEEE Globecom、IEEE WiMob、IEEE PES 總會、ACM MobiHoc 等。他曾擔任多個知名會議和研討會的總共同主席、TPC 共同主席、TPC 成員、宣傳主席和會議主席，包括 IEEE ICC、IEEE WoWMoM、IEEE INFOCOM 和 IEEE GLOBECOM。他也是多個期刊的客座編輯，包括《Software: Practice and Experience》（Wiley）、《Neural Computing & Applications》（Springer）、《Computer Communications》（Elsevier）和《Computers》（MDPI）。他在多個國際場合發表過許多受邀演講和講座。他是 ACM 和 IEEE 的成員，並積極參與與智慧電網、能源信息學和智慧城市相關的各種工作組和委員會。

Neeraj Kumar：

Neeraj Kumar 教授（SMIEEE）（2019、2020 年 WoS 高引用研究者）目前在印度巴提亞拉的 Thapar 工程技術學院（被認定為大學）計算機科學與工程系擔任全職教授。他同時也是台灣亞洲大學和沙烏地阿拉伯吉達的阿卜杜勒阿齊茲國王大學的兼任教授。他在頂尖引用的期刊和會議上發表了超過 400 篇技術研究論文（DBLP: https://dblp.org/pers/hd/k/Kumar_0001: Neeraj），這些論文被全球知名研究者引用超過 14802 次，目前的 h-index 為 65（Google scholar: https://scholar.google.com/citations?hl=en&user=gL9gR-4AAAAJ）。他在 2019 年和 2020 年被 Web of Science（WoS）列為高引用研究者。他指導了許多研究學者獲得博士和碩士學位。他的研究得到了來自全球各競爭機構的資助支持。他的廣泛研究領域包括綠色計算和網絡管理、物聯網、大數據分析、深度學習和網絡安全。他還與國際/國內出版商如 IET、Springer、Elsevier 和 CRC 編輯/撰寫了 10 本書籍，包括《電子健康記錄的安全性和隱私：概念、範式和解決方案（ISBN-13: 978-1-78561-898-7）》、《認知物聯網的機器學習》、《區塊鏈、大數據和機器學習》、《跨行業垂直的區塊鏈技術》、《物聯網應用的多媒體大數據計算：概念、範式和解決方案（ISBN: 978-981-13-8759-3）》、《第一屆計算、通信和網絡安全國際會議（IC4S 2019）論文集（ISBN 978-981-15-3369-3）》、《基於區塊鏈的物聯網應用的概率數據結構》，CRC Press。編輯的教科書之一《物聯網應用的多媒體大數據計算：概念、範式和解決方案》於 2019 年在 Springer 出版，截至 2020 年 6 月 6 日已下載 350 萬次，吸引了全球研究者的關注（https://www.springer.com/in/book/9789811387586）。

他擔任《ACM Computing Survey》、《IEEE 可持續計算期刊》、《IEEE 系統期刊》、《IEEE 網絡雜誌》、《IEEE 通信雜誌》、《Elsevier 網絡與計算機應用期刊》、《Elsevier 計算機通信》、《Wiley 國際通信系統期刊》的編輯。他還組織了多個來自 IEEE、Elsevier、Springer 的知名期刊的特刊。他曾擔任 IEEE Globecom 2018、IEEE Infocom 2020（https://infocom2020.ieee-infocom.org/workshop-blockchain-secure-software-defined-networking-smart-communities）和 IEEE ICC 2020（https://icc2020.ieee-icc.org/workshop/ws-06-secsdn-secure-and-dependable-software-defined-networking-sustainable-smart）的研討會主席，並擔任 IEEE MSN 2020 的安全性和隱私的追蹤主席（https://conference.cs.cityu.edu.hk/msn2020/cf-wkpaper.php）。他還是多個國際會議的 TPC 主席和成員，如 IEEE MASS 2020、IEEE MSN2020。他在 2018 年的 IEEE 系統期刊和 IEEE ICC 2018（堪薩斯城）中獲得最佳論文獎。他在過去八年中每年都獲得母組織的最佳研究者獎。

Gagangeet Singh Aujla：

Gagangeet Singh Aujla 博士是達勒姆大學計算機科學的助理教授。在此之前，他曾在紐卡斯爾大學擔任博士後研究助理，在 Thapar 大學（印度）擔任研究助理，在克拉根福大學（奧地利）擔任訪問研究員，並在各種學術職位上工作了十多年。他在 Thapar 大學（印度）獲得博士學位，在旁遮普技術大學（印度）獲得碩士和學士學位。因其在可擴展和可持續計算領域的貢獻，他獲得了 2018 年 IEEE TCSC 傑出博士論文獎。其研究的主要主題是能源高效、可重構、韌性和智能表面（智慧城市、智慧電網、物聯網邊緣雲系統、醫療系統、交通系統）。為了提升自己的研究能力，他參與了由 EPSRC、印度科學技術部和奧地利聯邦教育、科學和研究部頒發的各種研究項目，這促進了他與來自英國、美國、加拿大、澳大利亞、中國、奧地利、巴西和印度的國際研究者的合作。該小組共同發表了多篇關於軟體定義網絡、能源高效雲數據中心、邊緣雲計算、區塊鏈的研究論文，特別專注於創建可重構、韌性和智能表面。他帶領團隊組織了與不同 IEEE 通信學會會議（如 IEEE Infocom、IEEE Globecom、IEEE ICC 等）相關的研討會（SecSDN 和 BlockSecSDN）。作為對研究社群的貢獻，他擔任《Ad-hoc Networks》的副編輯、《Sensors》的主題編輯、《IEEE 工業信息學期刊》、《IEEE 網絡》、《Neural Computing and Applications》（Springer）、《Computer Communications》（Elsevier）和《Transactions on Emerging Telecommunications》（Wiley）的客座編輯。