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发布日期:2019-05-22     作者:计算机科学与技术学院      编辑:刘澍     点击:

报告题目:Networking and Big Data: Challenges and Opportunities

报告时间:2019年5月27日上午 9:00

报告地点:中心校区计算机大楼A521

报告人:余水

报告人简介:

Shui Yu is a Professor of School of Software, University of Technology Sydney, Australia. Dr Yu’s research interest includes Security and Privacy, Networking, Big Data, and Mathematical Modelling. He has published two monographs and edited two books, more than 200 technical papers, including top journals and top conferences, such as IEEE TPDS, TC, TIFS, TMC, TKDE, TETC, ToN, and INFOCOM. Dr Yu initiated the research field of networking for big data in 2013. His h-index is 35. Dr Yu actively serves his research communities in various roles. He is currently serving a number of prestigious editorial boards, including IEEE Communications Surveys and Tutorials (Area Editor), IEEE Communications Magazine (Series Editor). He has served many international conferences as a member of organizing committee, such as publication chair for IEEE Globecom 2015, IEEE INFOCOM 2016 and 2017, and general chair for ACSW 2017. He is a Senior Member of IEEE, a member of AAAS and ACM, and a Distinguished Lecturer of IEEE Communication Society.

报告内容简介:

Big Data is one of the hottest to时时彩胆出现规律秦始皇陵莫斯科。pics in data science community. However, we found that the fancy learning and mining applications would be impossible without the support from the underneath layers, which is generally named as Networking for Big Data or Big Data Networking. It is an emerging and attractive topic in networking and communication communities. In this talk, we will firstly overview the current landscape of this energetic area, and then present the unprecedented challenges in this new domain, and finally discuss the current research directions in the field. We humbly hope this talk will shed light for forthcoming researchers to further explore the uncharted part of this promising land.

主办单位:

帝豪娱乐计算机科学与技术学院

帝豪娱乐软件学院

帝豪娱乐计算机科学技术研究所

符号计算与知识工程教育部重点实验室

海战场攻防对抗仿真技术教育部重点实验室

帝豪娱乐国家级计算机实验教学示范中心

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