Ai-Centric Smart City Ecosystems: Technologies, Design and Implementation

Over the next few years, smart city technologies will be rolled out and the IoT devices and AI-Centric systems will provide even more far-reaching connectivity. This book presents various concepts in the design and development of a smart city as well as methodologies and solutions involved in designing contemporary infrastructure for building smart cities around the world. The book will focus mainly on six areas of smart city infrastructure that are smart city entities, IoT-based solutions, AI-centric control systems, Smart Systems, Cyber Security Mechanisms, Data Science and Cloud Computing for the deployment of the smart ecosystem.

AI-Centric Smart City Ecosystem: Technologies, Design, and Implementation will discuss the role of AI-centric innovative systems and beyond intelligent solutions in the smart city framework. Readers will discover how to apply design principles and technologies for operating intelligent cities and develop an understanding of how to integrate AI-based control systems to make systems smarter. The book will present various concepts in the design and development of the smart cities as well as methodologies and solutions involved in designing modern infrastructure, also you can discover how to develop applications and connect the IoT devices for collecting and mining real-time data and uncover the challenges and techniques for improving the automatic operation in the smart city by using the high-tech solutions.

This book is intended to serve the needs of industry, engineers, professionals, researchers, master and doctoral students studying emerging technologies in smart city ecosystems.

在未來幾年中，智慧城市技術將會被推出，物聯網設備和以人工智慧為中心的系統將提供更廣泛的連接性。本書介紹了智慧城市設計和開發中的各種概念，以及設計全球智慧城市所涉及的方法和解決方案。本書主要關注智慧城市基礎設施的六個領域，包括智慧城市實體、基於物聯網的解決方案、以人工智慧為中心的控制系統、智慧系統、網絡安全機制、數據科學和雲計算，以部署智慧生態系統。

《以人工智慧為中心的智慧城市生態系統：技術、設計和實施》將討論在智慧城市框架中以人工智慧為中心的創新系統和超越智能解決方案的角色。讀者將了解如何應用設計原則和技術來運營智慧城市，並了解如何整合基於人工智慧的控制系統，使系統更智能。本書將介紹智慧城市設計和開發中的各種概念，以及設計現代基礎設施所涉及的方法和解決方案，同時您還可以了解如何開發應用程序並連接物聯網設備以收集和挖掘實時數據，並揭示使用高科技解決方案改善智慧城市的自動運營所面臨的挑戰和技術。

本書旨在滿足工業界、工程師、專業人士、研究人員以及研究智慧城市生態系統新興技術的碩士和博士研究生的需求。

Dr. Alex Khang, Software Development Expert, AI and Data Scientist, AI and Data Scientist, Chief of Technology (AI and Data Science Research Center) at the Global Research Institute of Technology and Engineering, NC, USA ORCID: 0000-0001-8379-4659; He has 25+ years of non-stop teaching and research experience in Information Technology (Software Development, Database Technology, AI Engineering, Data Engineering, Data Science, Data Analytics, IoT, and Cloud Computing) at the Universities of Technology and Science in USA, India, and Vietnam. He is Chair session for 20+ conferences, Keynote speaker for 25+ international conclaves; Expert techtalks for 100+ seminars and webinars; Technical board member for 10+ Intl. organizations; Editorial board member for 5+ ISSNs; Reviewer and evaluator for 100+ the journal papers; Examiner and evaluator for 15+ the Ph.D thesis. He is the receiver of the Best Professor of the Year 2021, Researcher of the Year 2021, the Global Teacher Award 2021 (AKS), the Life Time Achievement Award 2021, the Leadership Award 2022 (Educacio World), and many other repute awards. He has contributed to the various research activities in fields of AI and Data Science while publishing articles in the renowned journals and conference proceedings. He has published more than 52 Software development books and many AI and Data Science books. He has over 28 years of non-stop working in the field of software productions and specialized in data engineering for foreign corporations from Germany, Sweden, the United States, Singapore, and multinationals.

Dr. Sita Rani is working as a Professor - Computer Science & Engineering and Deputy Dean (Research) at Gulzar Group of Institutions, Khanna (Punjab). She has completed her B.Tech and M.Tech degrees in the faculty of Computer Science and Engineering from Guru Nanak Dev Engineering College, Ludhiana. She obtained her Ph.D. in Computer Science and Engineering from I.K.Gujral Punjab Technical University, Kapurthala, Punjab. At present, she is pursuing one year certification program in the domain of Data Science and Machine Learning from IIT, Roorkee. She is also Postdoctoral Fellow at Data Mining and Virtualization Laboratory, South Ural State University, Russia. She has more than 19 years of teaching experience. She is an active member of IEEE, ISTE and IAEngg. She is the receiver of ISTE Section Best Teacher Award and International Young Scientist Award. She has contributed to the various research activities while publishing articles in the renowned SCI journals and conference proceedings. She has published three international patents also. She has delivered many expert talks in A.I.C.T.E. sponsored Faculty Development Programs and organized many International Conferences during her 19 years of teaching experience. She is the member of Editorial Board of four international journals of repute. Her areas of research interest are Artificial Intelligence, Machine Learning, the Internet of Things, and Smart Cities.

Dr. Arun Kumar Sivaraman obtained his Bachelor's degree in Computer Science and Engineering from Anna University, Chennai, and a Master's in Computer Science and Engineering, 2010, from the College of Engineering Guindy (CEG) Chennai Campus. He has awarded Doctor of Philosophy (Ph.D.), 2017, in Computer Science and Engineering from Manonmaniam Sundaranar University (Govt.), Tirunelveli, India. He received a Master's of Business Administration (MBA), 2020, in Education Management from Alagappa University, Karaikudi, India. He has more than a decade of professional experience in the Industrial R and D, and academic sectors. He has worked as lead Data Engineer for top MNCs like Cognizant, Standard Chartered, Gilead Life Sciences. He is currently working as an Assistant Professor (Sr. Grade) in VIT University, Chennai Campus, India.). His academic and research expertise covers a wide range of subject areas including Data Engineering, Data Analytics, Data Science, and Machine Learning.

Dr. Alex Khang博士是全球技術與工程研究所的技術主管（AI和數據科學研究中心），在美國北卡羅來納州擔任軟件開發專家、AI和數據科學家。他在美國、印度和越南的技術和科學大學擁有超過25年的不斷教學和研究經驗，專注於信息技術（軟件開發、數據庫技術、AI工程、數據工程、數據科學、數據分析、物聯網和雲計算）。他主持了20多個會議的分會場，擔任了25多個國際會議的主題演講嘉賓，參與了100多個研討會和網絡研討會的專家技術講座，擔任了10多個國際組織的技術委員會成員，擔任了5多個ISSN的編輯委員會成員，並對100多篇期刊論文進行了審查和評估，對15多篇博士論文進行了審查和評估。他獲得了2021年度最佳教授、2021年度研究員、2021年度全球教師獎（AKS）、2021年度終身成就獎、2022年度領導力獎（Educacio World）等多個知名獎項。他在AI和數據科學領域的各種研究活動中做出了貢獻，並在知名期刊和會議論文集上發表了文章。他出版了52多本軟件開發書籍和多本AI和數據科學書籍。他在德國、瑞典、美國、新加坡和跨國公司的軟件生產領域擁有超過28年的不斷工作經驗，專注於數據工程。

Dr. Sita Rani博士是Gulzar Group of Institutions的計算機科學與工程教授兼副院長（研究），位於旁遮普邦的Khanna。她在Guru Nanak Dev Engineering College, Ludhiana獲得了計算機科學與工程學士和碩士學位。她在I.K.Gujral Punjab Technical University, Kapurthala, Punjab獲得了計算機科學與工程博士學位。目前，她正在印度羅爾基理工學院進行為期一年的數據科學和機器學習領域的認證課程。她還是俄羅斯南烏拉爾國立大學數據挖掘和虛擬化實驗室的博士後研究員。她擁有超過19年的教學經驗，是IEEE、ISTE和IAEngg的活躍成員。她獲得了ISTE分區最佳教師獎和國際青年科學家獎。她在知名SCI期刊和會議論文集上發表了文章，並擁有三項國際專利。在她的19年教學經驗中，她在A.I.C.T.E.贊助的教師發展計劃中發表了許多專家演講，並組織了許多國際會議。她是四本知名國際期刊的編輯委員會成員。她的研究興趣包括人工智能、機器學習、物聯網和智慧城市。

Dr. Arun Kumar Sivaraman博士在安納大學獲得計算機科學與工程學士學位，並在Chennai校區的College of Engineering Guindy（CEG）獲得計算機科學與工程碩士學位（2010年）。他在印度Manonmaniam Sundaranar大學（政府）獲得計算機科學與工程博士學位（2017年）。他在印度Alagappa大學獲得教育管理碩士學位（2020年）。他在工業研發和學術領域擁有超過十年的專業經驗，曾擔任Cognizant、Standard Chartered和Gilead Life Sciences等頂級跨國公司的首席數據工程師。他目前在印度的VIT大學（Chennai校區）擔任高級助理教授。他的學術和研究專長涵蓋了多個學科領域，包括數據工程和數據分析。