2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City (eBook)

This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Mohammed Atiquzzaman obtained his M.S. and Ph.D. in Electrical Engineering and Electronics from the University of Manchester (UK). He currently holds the Edith Kinney Gaylord Presidential Professorship in the School of Computer Science at the University of Oklahoma and is a senior member of IEEE. He is the editor-in-chief of Journal of Networks and Computer Applications, founding Editor-in-Chief of Vehicular Communications, former co-editor-in-chief of Computer Communication and has served/serving on the editorial boards of IEEE Communications Magazine, IEEE Transactions on Mobile Computing, IEEE Journal on Selected Areas in Communications  International Journal on Wireless and Optical Communications, Real Time Imaging journal, Journal of Communication Systems, Communication Networks and Distributed Systems and Journal of Sensor Networks. He also guest edited 12 special issues in various journals. He has served as symposium co-chairs for IEEE Globecom (2006, 2007, 2012, 2014, 2016) and IEEE ICC (2007, 2009, 2010, 2012, 2014, 2016) conferences, and co-chair of IEEE High Performance Switching and Routing Symposium (2011 and 2003). He also co-chaired NSysS (2016), DependSys (2015), ChinaComm (2008), and the SPIE Quality of Service over Next Generation Data Networks conferences (2001, 2002, 2003, 2005). He was the panels co-chair of INFOCOM'05 and is/has been in the program committee of numerous conferences such as INFOCOM, ICCCN, and Local Computer Networks. He serves on the review panels of funding agencies such as the National Science Foundation, National Research Council (Canada), and Australian Research Council (Australia). In recognition of his contribution to NASA research, he received the NASA Group Achievement Award for 'outstanding work to further NASA Glenn Research Center's effort in the area of Advanced Communications/Air Traffic Management's Fiber Optic Signal Distribution for Aeronautical Communications' project. He received the IEEE 2018 Satellite and Space Communications Technical Recognition Award for valuable contributions to the Satellite and Space Communications scientific community, the IEEE 2017 Distinguished Technical Achievement Award in recognition of outstanding technical contributions and services in the area of communications switching and routing, and the IEEE 2020 Distinguished Service Award in recognition of outstanding service for the benefit and advancement of the IEEE Communications Society. Dr. Atiquzzaman received IEEE Fred W. Ellersick Prize for his paper entitled 'Evaluation of SCTP for Space Networks'.  He has been invited to deliver keynote talks on over 40 international conferences around the globe, including USA, Brazil, Italy, Poland, Portugal, Australia, China, Taiwan, Malaysia, and Korea. He has been invited to deliver keynote talks in over 40 international conferences around the globe, including USA, Brazil, Italy, Poland, Portugal, Australia, China, Taiwan, Malaysia, and Korea. He is the co-author of the book 'Performance of TCP/IP over ATM networks,' co-edited 8 books, co-authored 5 book chapters, written 25 journal editorials, and has over 300 refereed technical publications, most of which can be accessed at www.cs.ou.edu/-atiq. His research interests are in satellite communications, wireless and mobile networks, vehicular networks, ad hoc networks, Quality of Service, and optical communications. His research has been funded by National Science Foundation (NSF), National Aeronautics and Space Administration (NASA), U.S. Air Force, Cisco, Honeywell, Oklahoma Department of Transportation, and Oklahoma Highway Safety Office through grants totaling over $10M.

Neil Y. Yen received Ph.D. degrees at Department of Human Informatics and Cognitive Sciences, Waseda University, Japan, and Department of Computer Science and Information Engineering, Tamkang University, Taiwan, in the year 2012, respectively. He is currently an associate professor at School of Computer Science and Engineering, University of Aizu, Japan. His current interests include human-centric computing (i.e., user modeling and understanding, social web, collaborative economy), big data (i.e., data/web mining, deep learning, statistical analysis), and anticipatory computing (i.e., prediction, recommendation, and well-being services). He is the founder of FC conferences and the editor-in-chief of International Journal of Social and Humanistic Computing and Human-centric Computing and Information Sciences.

Zheng Xu was born in Shanghai, China. He received the Diploma and Ph.D. degrees from the School of Computing Engineering and Science, Shanghai University, Shanghai, in 2007 and 2012, respectively. He is currently as an associate professor in Shanghai Polytechnic University, China. His current research interests include data mining, big data, social network. He has authored or co-authored more than 70 publications including IEEE Trans. on Automation Science and Engineering, IEEE Trans. on Cloud Computing, IEEE Trans. on Emerging Topics in Computing, IEEE Trans. on Systems, Man, and Cybernetics-Part C, etc. He is the associate editor of IEEE Access, Springer DIOT, ECR journal, AutoSoft journal.

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This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.