主持单位：广东工业大学计算机学院 & 网络身份安全实验室（WIS Lab）

主持人：刘文印教授（广东工业大学网络身份安全实验室主任，IAPR Fellow）

报告题目：Knowledge Centric Networking: Challenges and Opportunities

报告人：吴大鹏教授（美国佛罗里达大学教授，IEEE Fellow）

报告时间：2018年4月23日（星期一）下午14:00-15:00

报告地点：广东工业大学工学一号馆216室

网站地址：www.wislab.cn

个人简介：

吴大鹏博士，美国佛罗里达大学教授，国际电气电子工程师学会会士（IEEE Fellow），2003年于美国卡内基梅隆大学获得博士学位。他的研究兴趣涵盖网络、通信、视频编码、图像处理、计算机视觉、信号处理和机器学习。他获得了2009年佛罗里达大学研究基金教授奖、2007年美国自然科学基金委职业奖、2001年IEEE视频电路与系统汇刊最佳论文奖、2011年Globecom国际会议最佳论文奖等。现在他担任IEEE通信汇刊、网络信号与信息处理汇刊、信号处理杂志等期刊编委，是IEEE网络科学与工程汇刊创始人、主编，并担任多个国际会议的大会主席等学术职务。

Prof. Dapeng Oliver Wu received Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, PA, in 2003. Since 2003, he has been on the faculty of Electrical and Computer Engineering Department at University of Florida, Gainesville, FL, where he is currently Professor.  His research interests are in the areas of networking, communications, video coding, image processing, computer vision, signal processing, and machine learning.

He received University of Florida Term Professorship Award in 2017, University of Florida Research Foundation Professorship Award in 2009, AFOSR Young Investigator Program (YIP) Award in 2009, ONR Young Investigator Program (YIP) Award in 2008, NSF CAREER award in 2007, the IEEE Circuits and Systems for Video Technology (CSVT) Transactions Best Paper Award for Year 2001, the Best Paper Award in GLOBECOM 2011, and the Best Paper Award in QShine 2006.  Currently, he serves as Editor-in-Chief of IEEE Transactions on Network Science and Engineering, and Associate Editor of IEEE Transactions on Communications, IEEE Transactions on Signal and Information Processing over Networks, and IEEE Signal Processing Magazine.  He was the founding Editor-in-Chief of Journal of Advances in Multimedia between 2006 and 2008, and an Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology. He has served as Technical Program Committee (TPC) Chair for IEEE INFOCOM 2012. He was elected as a Distinguished Lecturer by  IEEE Vehicular Technology Society in 2016. He is an IEEE Fellow.

报告摘要：

In the creation of a smart future information society, Internet of Things (IoT) and Content Centric Networking (CCN) break two key barriers for both the front-end sensing and back-end networking. However, we still observe the missing piece of the research that dominates the current design, i.e., lacking of the knowledge penetrated into both sensing and networking to glue them holistically. In this talk, I will introduce and discuss a new networking paradigm, called Knowledge Centric Networking (KCN), as a promising solution. The key insight of KCN is to leverage emerging machine learning or deep learning techniques to create knowledge for networking system designs, and extract knowledge from collected data to facilitate enhanced system intelligence and interactivity, improved quality of service, communication with better controllability, and lower cost. This talk presents the KCN design rationale, the KCN benefits and the potential research opportunities.

欢迎各界人士参加！