2017“面向未来的车联网”研讨会25日在上海举行
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刘闯飞组在主题B组中获得第三名,获奖主题为Big Data Machine on an Autonomous Electric Vehicle.
罗泽坤组在主题B组中获得优胜奖,获奖主题为The intelligent Automatic Cleaning Vehicle.
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07月 03, 2017 在 News
刘富强教授应英国Exeter大学Geyong Min教授邀请,对英国Exeter大学进行访问,刘教授于6月25日到达英国,参观了Exeter大学工学院实验室,并参加欧盟第七框架项目(FP7 QUICK)课题进度协调会,参加会议的合作单位有英国Exeter大学、英国Heriot-Watt University、瑞典皇家理工学院、同济大学、复旦大学和武汉大学等,同济大学承担的是该项目中WP5工作任务,对各合作单位在无线网络上的视频流QoE/QoS算法研究进行评估和测试。随后刘教授拜访了Exeter大学讲席教授Geyong Min,讨论了后期的进一步合作计划,主要是欧盟第七框架项目QUICK2018年工作计划以及Horizon 2020新项目申请规划。本次访问加强了各合作单位之间的紧密联系,进一步深入探讨了课题下一阶段的研究工作,同时在欧盟2020新项目的申请上达成了共识,为以后更好的合作提供了基础。
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05月 16, 2017 在 News
2017年5月15日上午,美国伊利诺伊大学芝加哥分校(University of Illinois at Chicago, UIC)电气与计算机工程系系主任,IEEE Fellow,Rashid Ansari教授来我系交流访问,向本科生和研究生同学们介绍了UIC的中国留学生进修计划项目,并做了题目为“New Approaches to Energy-efficient Data Aggregation in Wireless Sensor Networks”的专题学术讲座。讲座由控制系汪镭教授与信通系王超副教授主持,讲座结束后薛小平教授、郭爱煌教授、赵晓群教授与Ansari教授针对两校未来合作的进行了深入交流。
Ansari教授讲座内容:
Title: New Approaches to Energy-efficient Data Aggregation in Wireless Sensor Networks
Abstract: Wireless Sensor Networks (WSNs) make sensory measurements usually under severe constraints on available energy while performing energy-consuming tasks of data communication, aggregation, and interpretation. Advances in semiconductor technology have enabled ever more computing power for sensors and the cost of computations is substantially lower than that of communication cost in data exchange among sensors. We have recently investigated new approaches, including the use of compressive sensing, to balancing tradeoffs between computation and communication efficiency to reduce the attendant energy dissipation in common data processing tasks in WSNs. This talk will focus on strategies to achieve better computation and communication performance in data aggregation and processing. The approaches show significant improvement over existing methods in terms of energy efficiency and other performance criteria. Adaptive and spatio-temporal methods for performing data aggregation will be described along with simulation results demonstratingimproved performance. Other related work will also be described.
Ansari教授的简历:
Rashid Ansari received the Ph.D. degree in electrical engineering and computer science from Princeton University, Princeton, NJ, in 1981. He is currently Professor and Head in the Department of Electrical and Computer Engineering at the University of Illinois at Chicago (UIC). Before joining UIC he served as a Research Scientist at Bell Communications Research and on the faculty of Electrical Engineering at University of Pennsylvania. His research interests are in the general areas of signal processing and communications, with recent focus on image and video analysis, multimedia communication, and medical imaging. In the past he served as Associate Editor of the IEEE Transactions on Image Processing, IEEE Signal Processing Letters, and IEEE Transactions on Circuits and Systems. He was a member of the editorial board of the Journal of Visual Communication and Image Representation. He has served as a member of the Digital Signal Processing Technical Committee of the IEEE Circuits and Systems Society and a member of the Image, Video, and Multidimensional Signal Processing Technical Committee. He was a member of the organizing and program committees of several past IEEE conferences. He served on the organizing and executive committees of the Visual Communication & Image Processing (VCIP) conferences and was General Chair of the 1996 VCIP Conference. He was elected a Fellow of the IEEE in 1999.
04月 24, 2017 在 News
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