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Title: Space-Air-Ground Integrated Networks 

Speaker: Prof. Xuemin (Sherman) Shen, Department of Electrical and Computer Engineering 

University of Waterloo, Canada 

Time: 201883日上午830-930



Abstract: 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.


Bio: Xuemin (Sherman) Shen is a University Professor, and Associate Chair for Graduate Study, Department of Electrical and Computer Engineering, University of Waterloo, Canada. Dr. Shen's research focuses on wireless resource management, wireless network security, smart grid and vehicular ad hoc and sensor networks. He is the Editor-in-Chief of IEEE IoT J. He serves as the General Chair for Mobihoc'15, the Technical Program Committee Chair for IEEE GC'16, IEEE Infocom'14, IEEE VTC'10, the Symposia Chair for IEEE ICC'10, the Technical Program Committee Chair for IEEE Globecom'07, the Chair for IEEE Communications Society Technical Committee on Wireless Communications. Dr. Shen is an elected IEEE ComSoc Vice President - Publications, the chair of IEEE ComSoc Distinguish Lecturer selection committee, and a member of IEEE ComSoc Fellow evaluation committee. Dr. Shen received the Excellent Graduate Supervision Award in 2006, and the Premier's Research Excellence Award (PREA) in 2003 from the Province of Ontario, Canada. Dr. Shen is a registered Professional Engineer of Ontario, Canada, an IEEE Fellow, an Engineering Institute of Canada Fellow, a Canadian Academy of Engineering Fellow, a Royal Society of Canada Fellow, and a Distinguished Lecturer of IEEE Vehicular Technology Society and Communications Society. 





时间: 201883日上午930-1030










Title: Image Pixelization with Differential Privacy

Speaker: Dr. Liyue Fan, University at Albany, SUNY

Time: 201883日上午1030-1130



Abstract: 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.


Biography: Dr. Liyue Fan is an Assistant Professor at the University at Albany, SUNY. Her primary research interests are data privacy, information security, and database applications. She holds a Ph.D. in Computer Science from Emory University and a B.S. in Mathematics from Zhejiang University in China. Prior to joining SUNY, she spent two years as a post-doctoral researcher at the Integrated Media Systems Center at the University of Southern California. She was named one of the "Rising Stars in EECS" by MIT in 2015. 










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