This book presents key technologies and applications of smart cities, covering a wide range of areas including smart transportation, autonomous driving, wireless communication, artificial intelligence, the Internet of Things (IoT), cybersecurity, digital twins, disaster management, environmental monitoring, and smart buildings. The authors include the latest developments and future trends in the evolution of smart cities. Each chapter represents a distinct field of study but is interconnected, collectively forming the technological framework of smart cities. The authors cover topics from how the IoT underpins smart transportation systems and autonomous driving technology, to the role of wireless communication in urban signal stations; from the applications of the fusion of AI and the Internet of Things (AIoT) in smart cities, to strategies for addressing cybersecurity threats. The book analyzes how all of these technologies drive cities towards greater efficiency, safety, and environmental sustainability. This book is suitable for professionals in smart cities, urban planning, information technology, environmental protection, and other related fields.
Dr. S. Kannimuthu is currently working as Professor in the Department of Computer Science and Engineering at Karpagam College of Engineering, Coimbatore, Tamil Nadu, India. He is acting as Head for the Center of Excellence in Algorithms. He is an IEEE Senior Member (ID: 99320117). He is an IBM Certified Cybersecurity Analyst. He did PhD in Computer Science and Engineering at Anna University, Chennai. He did his M.E (CSE) and B.Tech (IT) at Anna University, Chennai. He has more than 18 years of teaching and industrial experience. He is the recognized supervisor of Anna University, Chennai. Seven PhD candidates completed their research under his guidance. He is now guiding 9 PhD Research Scholars. He has published 80 (SCI:27 and Scopus:53) research articles in various International Journals. He published 2 books("Artificial Intelligence", "LinkedList Demystified: A Placement Perspective") and 3 Book Chapters (Scopus Indexed). He is acting as mentor / consultant for DeepLearning.AI, MaxByte Technologies Dhanvi Info Tech and Hubino. He is the expert member for AICTE Student learning Assessment Project (ASLAP). He has presented a number of papers in various National and International conferences. He has visited more than 100 Engineering colleges and delivered more than 200 Guest Lectures on various topics. He is the reviewer for more than 100 Journals and 3 Books. He has successfully completed the consultancy project through Industry-Institute Interaction for ZF Wind Power Antwerpen Ltd., Belgium. He has completed more than 610 Certifications (41 Specializations and 4 Professional Certifications) in Coursera, Hackerrank and NPTEL on various domains. His research interests include Artificial Intelligence, Data Structures and Algorithms, Machine Learning, Computer Vision, Big Data Analytics, Blockchain and Virtual Reality.
Marcin Paprzycki received the MS degree from Adam Mickiewicz University, Poznań, Poland, the PhD degree from Southern Methodist University, Dallas, Texas, and the doctor of science degree from the Bulgarian Academy of Sciences, Sofia, Bulgaria. He is an associate professor with the Systems Research Institute, Polish Academy of Sciences. He is a senior member of the ACM and of the IEEE, was a Senior Fulbright Lecturer, and an IEEE Computer Society Distinguished Visitor. He has contributed to more than 500 publications and was invited to the program committees of more than1000 international conferences.
