Internet of Energy for Smart Cities: Machine Learning Models and Techniques

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。這有助於增進讀者的技術理解。

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 月期間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主席、技術程序委員會共同主席、技術程序委員會成員、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）目前在印度旁遮普邦的 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。他在高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 Web of Science (WoS) 發布的名單中被列為 2019 和 2020 年的高引用研究者。他指導了許多研究學者，並促成他們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。他還編輯或撰寫了 10 本與國際/國內出版商如 IET、Springer、Elsevier 和 CRC 合作的書籍，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》、《跨行業的區塊鏈技術（Elsevier）》、《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）》。區塊鏈的概率數據結構。