Inhaltsangabe
As smart cities continue to grow, sensing technologies are changing the way urban environments function and respond to everyday needs. With the integration of the internet of things (IoT), artificial intelligence (AI), and cloud-based systems, social sensing technologies can now collect and analyze real-time data to help improve services, infrastructure, and quality of life for citizens. Connected devices and digital networks are making cities more efficient, sustainable, and responsive by helping manage challenges such as traffic congestion, public safety, and energy use. These advancements also allow people to access information more easily and make more informed decisions in their daily lives. As technology becomes increasingly embedded in modern cities, social sensing is playing a central role in shaping smarter and more connected urban communities. AI and IoT-Driven Social Sensing for Smart City Innovation explores the evolving field of social sensing within smart cities, examining its potential, challenges, and future directions. Bridging insights from AI, IoT technologies, urban innovation, and data-driven decision-making, this book highlights how social sensing systems are reshaping modern urban environments by supporting more connected, efficient, and responsive city infrastructures. Covering topics such as air quality prediction, intelligent traffic flow, and real-time urban flood monitoring, this book is a fundamental academic resource for graduate and doctoral students, urban planners, engineers, data scientists, technology professionals, municipal leaders, government agencies, and more.
Über die Autorinnen und Autoren
Abdul Razaque is an accomplished researcher and educator in the field of Computer Science & Engineering, with extensive expertise in cybersecurity, machine learning, quantum computing, and various other domains. He earned his PhD degree from the University of Bridgeport, USA, and completed his Post Doctorate at the University of Illinois, USA. With over 170 international academic publications, including journals, conferences, and book chapters, Dr. Razaque has made significant contributions to the advancement of knowledge in cybersecurity, biometric authentication, computer networks, and mobile malware detection and infringement. He has authored four academic books on these subjects. Dr. Razaque has held prestigious editorial positions, serving as the Editor-in-Chief for the International Journal for Engineering and Technology (IJET), Singapore, from 2012 to 2015. Additionally, he has been an Editor, Associate Editor, and Member of the Editorial Board for several other journals. As a dedicated researcher, Dr. Razaque has secured significant research funding totaling US$3,548,270.00. He has taught a wide range of courses, including Big Data Analytics, Data Mining, Secure Cloud Computing, Machine Learning, Cryptography for Information Security, and many more. His research interests encompass cybersecurity, machine learning, deep learning, quantum computing, data science, wireless sensor networks, artificial intelligence, cloud computing, and more. Dr. Razaque holds multiple certifications, including Cisco Certified Network Associate (CCNA), Microsoft Certified Professional (MCP), and ISACA Certified Information Security Manager (CISM). Throughout his career, Dr. Razaque has been recognized with numerous awards, including the Google PhD Fellowship, Best Paper Awards at prestigious conferences, and scholarships such as the Commonwealth Fellowship and the Split Merit Scholarship. His outstanding contributions to research and education have earned him international acclaim and accolades from esteemed organizations worldwide.
Syed Atif Moqurrab is a Lecturer in the School of Computer Science and Technology at the University of Bedfordshire. He holds a PhD in Computer Science from COMSATS Institute of Information Technology, Pakistan, and a master’s degree from the National University of Computer and Emerging Sciences, Pakistan. His research focuses on privacy, security, and advanced data analytics, with significant contributions to Artificial Intelligence and privacy-preserving techniques. Prior to joining Bedfordshire, Dr. Moqurrab served as a Research Fellow at the University of Southampton and as a Research Assistant Professor at Gachon University, South Korea. He also held an Assistant Professorship at Air University, Pakistan, where he taught subjects ranging from machine learning to data science and led various academic committees. Dr. Moqurrab’s extensive publication record showcases innovative approaches in deep learning, data privacy, and cybersecurity. His extensive publication record features innovative solutions for preserving privacy, advancing data analytics, IoT, and deep learning models.
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