主持單位：廣東工業(yè)大學計算機學院 & 網(wǎng)絡(luò)身份安全實驗室（WIS Lab）

主持人：劉文印教授（廣東工業(yè)大學網(wǎng)絡(luò)身份安全實驗室主任，IAPR Fellow）

報告題目：Knowledge Centric Networking: Challenges and Opportunities

報告人：吳大鵬教授（美國佛羅里達大學教授，IEEE Fellow）

報告時間：2018年4月23日（星期一）下午14:00-15:00

報告地點：廣東工業(yè)大學工學一號館216室

網(wǎng)站地址：www.wislab.cn

個人簡介：

吳大鵬博士，美國佛羅里達大學教授，國際電氣電子工程師學會會士（IEEE Fellow），2003年于美國卡內(nèi)基梅隆大學獲得博士學位。他的研究興趣涵蓋網(wǎng)絡(luò)、通信、視頻編碼、圖像處理、計算機視覺、信號處理和機器學習。他獲得了2009年佛羅里達大學研究基金教授獎、2007年美國自然科學基金委職業(yè)獎、2001年IEEE視頻電路與系統(tǒng)匯刊最佳論文獎、2011年Globecom國際會議最佳論文獎等。現(xiàn)在他擔任IEEE通信匯刊、網(wǎng)絡(luò)信號與信息處理匯刊、信號處理雜志等期刊編委，是IEEE網(wǎng)絡(luò)科學與工程匯刊創(chuàng)始人、主編，并擔任多個國際會議的大會主席等學術(shù)職務(wù)。

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.

報告摘要：

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.

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