6月24日9:00-10:00|聚焦网络科学与工程领域，IEEETNSE杰出讲座系列首期周五开讲

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IEEE TNSE 杰出讲座系列

IEEE TNSE Distinguished Lecture Series

IEEE Transactions on Network Science and Engineering（简称IEEE TNSE）是位于 JCR 1 区的网络科学领域顶级期刊，致力于探讨网络科学的理论和应用，以及构成网络系统中各元素之间的相互联系。IEEE TNSE 被 SCIE 数据库收录，位于 JCR 1 区，2020年的影响因子为3. 894。

IEEE TNSE 杰出讲座系列由深圳市人工智能与机器人研究院（AIRS）和IEEE TNSE期刊联合主办，香港中文大学（深圳）、网络通信与经济学实验室（NCEL）、IEEE 联合支持。该系列活动旨在汇聚网络科学与工程领域的国际顶级专家学者分享前沿科技成果。

在构建未来智能信息社会的过程中，物联网（IoT）和内容中心网络（CCN）打破了前端感知和后端网络这两个关键障碍。即便如此，当前的主流设计仍缺少对渗透到传感和网络、用以将二者结合起来的“知识”的研究。因此，一个有效的新型网络范式：知识中心网络（KCN）应运而生。

首期 IEEE TNSE 杰出讲座系列活动，我们邀请到香港城市大学 Dapeng Oliver Wu 教授分享知识中心网络（Knowledge Centric Networking, KCN）的设计原理、优势及未来研究方向。

Dapeng Oliver Wu 是香港城市大学讲座教授、IEEE Fellow，他的研究领域包括网络、通信、视频编码、图像处理、计算机视觉、信号处理、机器学习。他于卡耐基梅隆大学获得博士学位，在加入香港城市大学前，他任职于美国佛罗里达大学，曾获 AFOSR 青年科学家计划奖、ONR 青年科学家计划奖、NSF CAREER 奖等荣誉。他担任过 IEEE 多个旗舰期刊的编辑，包括 IEEE TNSE 主编、IEEE TWC 副编辑等。他曾获多个最佳论文奖，并于2016年被评选为 IEEE Vehicular Technology Society 杰出讲师。

执行主席

Executive Chair

黄建伟

香港中文大学（深圳）校长讲座教授，理工学院副院长

AIRS 副院长兼群体智能中心主任

IEEE 网络科学与工程汇刊主编

IEEE Fellow

AAIA Fellow

报告嘉宾

Speaker

Dapeng Oliver Wu

香港城市大学讲座教授

IEEE 网络科学与工程汇刊前主编（2017-2020）

IEEE Fellow

（上下滑动查看详细介绍）

Dapeng Oliver Wu received Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, PA, in 2003. Currently, he is a Chair Professor of Computer Science Department, City University of Hong Kong. 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. He has served 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.

报告介绍

Topic & Abstract

Knowledge Centric Networking: Challenges and Opportunities

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 also the potential research opportunities.

活动时间

2022年6月24日 9:00-10:00

参与方式

本次活动设多个直播渠道，观众可通过以下任一渠道观看直播。