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【数学之美-杰出学者讲坛】2024年第3期 ||Optimal transport and Monge-Ampere equ...
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清华大学材料科学与工程研究院《材料科学论坛》:机器学习辅助合金理性设计
报告题目:
清华信息大讲堂164讲:Data-Driven Context-Aware Wireless Networking
 报告人:
树涛
Asistant Professor of Auburn University
报告时间:
2016-12-29 10:30
报告地点:
信息科学技术大楼(FIT)1-415
主办单位:
信息学院
  简介:

讲演摘要

Over the past decade we have witnessed the explosive growth of wireless networks. Unlike a traditional wireless device that is basically a radio transceiver, today’s smart wireless devices are commonly equipped with powerful application processor, strong multi-modal multi-functional sensors, and high-capacity memory and storage. As a result, it becomes possible for a smart wireless device to utilize its powerful sensing and computing capability to enhance networking. Specifically, the device can sense the environment, extract relevant context information from the sensory data, and reconfigure and adapt to the context to achieve better networking performance. In this talk, we will discuss several techniques developed by Dr. Shu and his research group that pursue the above vision. In particular, the discussion will be focused on two fundamental issues: the utilization of context information to improve networking performance, and the protection of privacy in the computation and utilization of the context information.

 
讲演者简介
 
Dr. Tao Shu is an assistant professor in the Computer Science and Software Engineering Department at Auburn University, Auburn, AL, USA. He received his B.S. and M.S. degrees in Electronic Engineering from the South China University of Technology, Guangzhou, China in 1996 and 1999, respectively, the Ph.D. degree in Communication and Information Systems from Tsinghua University, Beijing, China in 2003, and a second Ph.D. degree in Electrical and Computer Engineering from the University of Arizona in 2010. Before joining Auburn, he has worked as an assistant professor in the Computer Science and Engineering Department at Oakland University in Rochester, Michigan, and as a senior engineer in Qualcomm. His research aims to address security, privacy, and performance issues in data-driven large-scale wireless networking systems, with a strong emphasis on system architecture, protocol design, and performance optimization. He has published over 60 papers in top-tier journals and conferences, such as IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Wireless Communications, ACM MobiCom, ACM MobiHoc, and IEEE INFOCOM.
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