AI-Centric Smart City Ecosystems

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 and 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 infrastructures: smart city entities, IoT-based solutions, AI-centric control systems, smart systems, cybersecurity 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 smart cities and methodologies and solutions involved in designing modern infrastructure. Also, readers 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 high-tech solutions. This book is intended to serve the needs of the industry, engineers, professionals, researchers, and master's and doctoral students studying emerging technologies in smart city ecosystems.

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.

1. Smart City Ecosystem: Concept, Sustainability, Design Principles and Technologies. 2. Cyber-Physical-Social System and Incident Management. 3. Smart City Models using Applications of the Internet of Things. 4.Smart City Framework: Technologies and Applications. 5. Database Privacy and Security in Cryptography for Smart City. 6. An Approach Security to Manage Smart City's Image Data on Cloud. 7. The Role of Nano Electronics Devices in Smart City Ecosystem. 8. Autonomous Robots for Smart City: Closer to Augmented Humanity. 9. Drone Networks and Monitoring System in Smart Cities. 10. Smart Vehicle Parking Management with IoT Technology. 11. The IoT-based Estimation of Human Heart State for the Smart Health Care System. 12. Application of Robotic Process Automation in Loan Sanctioning Process for Smart Bank Office. 13. Epidemic Awareness Spreading in Smart Cities using Artificial Neural Network. 14. Smart Libraries as Promoters of Development in the Smart City Context: A Smart Library Infrastructure Model Proposal. 15. AI-Based Smart Education System for Smart City using Improved Self-Adaptive Frog Leaping Algorithm. 16. Smart Healthcare Solutions for Smart Cities. 17. Advanced Technologies and Data Management in the Smart Healthcare System. 18. The Key Assistant of Smart City - Sensors and Tools. Index