This volume presents selected papers from the International Conference on Urban Intelligence and Applications (ICUIA), which took place on May 10-12, 2019 in Wuhan, China. The goal of the conference was to bring together researchers, industry leaders, policy makers, and administrators to discuss emerging technologies and their applications to advance the design and implementation of intelligent utilization and management of urban assets, and thus contributing to the autonomous, reliable, and efficient operation of modern, smart cities. The papers are collated to address major themes of urban sustainability, urban infrastructure and management, smart city applications, image and signal processing, natural language processing, and machine learning for monitoring and communications applications. The book will be of interest to researchers and industrial practitioners working on geospatial theories and tools, smart city applications, urban mobility and transportation, and community well-being and management.
Dr. Mohamed Elhoseny is currently an Assistant Professor at the Faculty of Computers and Information, Mansoura University and a researcher at CoVIS Lab, Department of Computer Science and Engineering, University of North Texas. Collectively, Dr. Elhoseny authored/co-authored over 100 ISI Journal articles (with total Impact Factor 147.6), Conference Proceedings, Book Chapters, and six books published by Springer and Taylor& Francis. His research interests include Network Security, Cryptography, Machine Learning Techniques, Internet of Things, and Quantum Computing. Dr. Elhoseny serves as the Editor-in-Chief of International Journal of Smart Sensor Technologies and Applications, IGI Global. Besides, he is an Associate Editor of several journals such as IEEE Access (Impact Factor 3.5), IEEE Future Directions, PLOS One journal (Impact Factor 2.7), Remote Sensing (Impact Factor 3.5), and International Journal of E-services and Mobile Applications, IGI Global (Scopus Indexed). Also, heis an Editorial Board member in several journals such as Applied Intelligence, Springer (Impact Factor 1.9). Dr. Elhoseny guest-edited several special issues at many journals published by IEEE, Elsevier, Hindawi, Springer, Inderscience, and MDPI. Moreover, he served as the co-chair, the publication chair, the program chair, and a track chair for several international conferences published by IEEE and Springer. Dr. Elhoseny is a TPC Member or Reviewer in 50+ International Conferences and Workshops. Furthermore, he has been reviewing papers for 80+ International Journals including IEEE Communications Magazine, IEEE Transactions on Intelligent Transportation Systems, IEEE Sensors Letters, IEEE Communication Letters, Elsevier Computer Communications, Computer Networks, Sustainable Cities and Society, Wireless Personal Communications, and Expert Systems with Applications.
Dr. Xiaohui Yuan received a Ph.D. degree in Computer Science from the Tulane University in 2004. He is currentlyan Associate Professor in the Department of Computer Science and Engineering, University of North Texas. He is the director of the Computer Vision and Intelligent Systems Lab at the University of North Texas. His research interests include computer vision, data mining, machine learning, and artificial intelligence. His research is supported by Air Force Lab, National Science Foundation, Texas Advanced Research Program, Oak Ridge Associated Universities, and UNT. His research findings are reported in over 130 peer-reviewed papers. Dr. Yuan is a recipient of Ralph E. Powe Junior Faculty Enhancement award in 2008 and the Air Force Faculty Fellowship in 2011, 2012, and 2013. He also received two research awards and a teaching award from UNT in 2007, 2008, and 2012, respectively. He served on the editorial board of several international journals and guest-edited several special issues. He is the general chair, program committee chairs, and session chairs in many conferences. He also servesas a panel reviewer for funding agencies including NSF, NASA, NIH, and Louisiana Board of Regent's Research Competitiveness program.
