智能计算研究所前沿报告系列三


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

Place:计算机科学与技术学院332会议室

 

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. 

 

 

报告题目推动万物互联的智慧城市科技创新

报告人吕卫锋教授北京航空航天大学计算机学院和软件学院

时间: 201883日上午930-1030

地点计算机科学与技术学院332会议室

 

报告摘要: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。

 

 

报告人简介吕卫锋,教授、博导,北京航空航天大学计算机学院和软件学院院长,软件开发环境国家重点实验室副主任,同时任中国软件协会副理事长兼秘书长,国家智慧城市标准化总体组组长,国家科技资源共享服务工程技术研究中心主任。主要从事面向海量信息系统、城市认知计算和群体智能等方面研究工作。先后主持完成国家973计划、863计划和航空基金等国家级研究项目与课题十余项,是国家科技部863计划智慧城市二期项目首席专家,在国内外知名期刊和重要会议发表论文四十余篇,获得国家发明专利十余项。曾获得包括国家科技发明二等奖、国家科技进步二等奖、北京市科学技术一等奖、教育部科技进步一等奖等多次国家和省部级奖励。

 

 

 

Title: Image Pixelization with Differential Privacy

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

Time: 201883日上午1030-1130

Place:计算机科学与技术学院332会议室

 

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.