Connected vehicles or self-driving cars have attracted significant attention in the last few years and will change the way people conduct their daily life. Intensive research activities have been conducted not only on collision avoidance and safe driving, but also for various kinds of sensing and communications for IoT applications. Imagine if each vehicle is equipped with powerful capability of communications, computing, storage and intelligence (CCSI capability), vehicles roaming around a city will automatically form a dynamic web of sensing, processing, communications, computing, and intelligence harvesting for intelligent decision making to improve people’s quality of life. In this talk, the speaker will discuss various related problems and design challenges with this vision and present novel collaborative system architectures to leverage connected vehicles for various kinds of smart operations and provide cost-effective solutions to smart city design.
Dr. Yuguang "Michael" Fang received MS degree from Qufu Normal University, Shandong, China in 1987, PhD degree from Case Western Reserve University in 1994 and PhD degree from Boston University in 1997. He was an assistant professor in Department of Electrical and Computer Engineering at New Jersey Institute of Technology from 1998 to 2000. He then joined the Department of Electrical and Computer Engineering at University of Florida in 2000 and has been a full professor since 2005. He held a University of Florida Research Foundation (UFRF) Professorship (2006-2009, 2017-2020), a University of Florida Term Professorship (2017-2019) and Changjiang Scholar Chair Professorship awarded by the Ministry of Education of China (is currently affiliated with Dalian Maritime University). Dr. Fang received the US National Science Foundation Career Award in 2001 and the Office of Naval Research Young Investigator Award in 2002, 2018 IEEE Vehicular Technology Outstanding Service Award, 2015 IEEE Communications Society CISTC Technical Recognition Award, 2014 IEEE Communications Society WTC Recognition Award, and multiple Best Paper Awards from IEEE Globecom (2015, 2011 and 2002) and IEEE ICNP (2006). He has also received 2010-2011 UF Doctoral Dissertation Advisor/Mentoring Award, 2011 Florida Blue Key/UF Homecoming Distinguished Faculty Award, and the 2009 UF College of Engineering Faculty Mentoring Award. He was the Editor-in-Chief of IEEE Transactions on Vehicular Technology (2013-2017), the Editor-in-Chief of IEEE Wireless Communications (2009-2012), and serves/served on several editorial boards of journals including the Proceedings of the IEEE (2018-present), ACM Computing Surveys (2017-present), IEEE Transactions on Mobile Computing (2003-2008, 2011-2016), IEEE Transactions on Communications (2000-2011), and IEEE Transactions on Wireless Communications (2002-2009). He has been actively participating in conference organizations such as serving as the Technical Program Co-Chair for IEEE INFOCOM’2014 and the Technical Program Vice-Chair for IEEE INFOCOM'2005. He is the Director of Magazines of IEEE Communications Society and a Distinguished Lecturer of IEEE Vehicular Technology. He is a fellow of the IEEE (2008) and a fellow of the American Association for the Advancement of Science (AAAS) (2015).
It is envisioned 5G Networks will integrate diverse spectrum, deployments, technologies to achieve diverse and enhanced KPIs and support diverse applications and services. In special, 5G networks are expected to support data rates of 10-50 Gbps for low-mobility users, deliver an end-to-end latency of less than 5 milliseconds and over-the-air latency of less than one millisecond, broad coverage area, and efficient use of the spectrum by using MIMO, advanced coding and modulation schemes and new waveform design. The question is how challenge and difficult it is to achieve the expected performance. Can we have alternative and better approach to achieve such performance? In this talk, we introduce Space-Air-Ground Integrated Networks by making use of the advantages of different networks to achieve the performance goal. We also present our developed Space-Air-Ground Integrated Networks simulator for demonstration.
推动万物互联的智慧科技创新是推动数字经济和智慧社会发展的重要途径。 报告将分析当前基于新一代信息网络技术的城市系统集成应用创新趋势，探讨发展万物互联的智慧城市集成智能系统创新方向， 提出建立物联网与智慧城市集成技术创新服务体系的建议和规划。
Ubiquitous surveillance cameras and personal devices have given rise to the vast generation of image data. While sharing the image data can benefit various applications, including intelligent transportation systems and social science research, those images may capture sensitive individual information, such as license plates, identities, etc. Existing image privacy preservation techniques adopt deterministic obfuscation, e.g., pixelization, which can lead to re-identication with well-trained neural networks. In this talk, I will describe sharing pixelized images with rigorous privacy guarantees. We extend the standard differential privacy notion to image data, which protects individuals, objects, or their features. Empirical evaluation with real-world datasets demonstrates the utility and efficiency of our method; despite its simplicity, our method is shown to effectively reduce the success rate of re-identication attacks.