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计信院前沿学术报告(2019.04-27)

发布时间:2019-04-24 来源:本站原创 作者:本站编辑   浏览次数:

威尼斯app官方计信院前沿学术报告

Southwest University IT Faculty Seminar

报告题目:Web and Data Engineering Research at Swinburne(网络数据及数据工程化研究

时间:20190427日(星期六)上午10:00

地点:威尼斯app官方计信院251320会议室(25-1320

演讲人:Prof. Chengfei Liu, Swinburne University of Technology, Melbourne, Australia(柳诚飞教授, 澳大利亚Swinburne科技大学

报告内容简介:

Abstract: In the era of big data, we face the challenge on how to find effective and efficient solutions for managing, integrating and analyzing complex data with high volume, variety and velocity. In this talk, I will introduce the research we have been carrying out in the Web and Data Engineering group at Swinburne University in Australia. In particular, I will introduce some of our work on keyword search over structured data, community search over large networks, and advanced query processing and refinement supported by several ARC (Australia Research Council) discovery projects.

大数据时代,如何找到高效解决方案对大规模的、多样性、高速度,复杂的数据进行管理、集成分析是我们所面临的挑战。我将介绍我们学校“网络和数据工程”研究团队的相关研究。并和大家分享结构化数据中的关键字搜索、大型网络上的社区搜索、高级查询处理及改进等多个ARC(澳大利亚科研基金)资助的项目。

报告人简介:

Dr. Chengfei Liu is a Professor and the head of Web and Data Engineering research group in the Department of Computer Science and Software Engineering at Swinburne University of Technology, Australia. He received the BS, MS and PhD degrees in Computer Science from Nanjing University, China in 1983, 1985 and 1988, respectively. Prior to joining Swinburne, he taught at the University of South Australia and the University of Technology Sydney, and was a Senior Research Scientist at Cooperative Research Centre for Distributed Systems Technology (DSTC) located at University of Queensland. He also held visiting positions at the Chinese University of Hong Kong, the University of Aizu in Japan, and IBM Silicon Valley Lab in USA. His current research interests include graph data management over large networks, keyword search on structured data, query processing and refinement for advanced database applications, and data-centric workflows. He has attracted more than $6,000,000 in research grants (mostly awarded by the Australia Research Council – ARC) and published more than 230 papers in prestigious journals and conference proceedings, such as ACM TODS, IEEE TKDE, VLDB Journal, SIGMOD, VLDB, ICDE, WWW, EDBT, WSDM, CIKM, and received best paper awards at WISE 2007, ADC2008&2018, CICLing 2011, SSDBM 2017, and the best demo award at WWW 2017. He has also served in over 130 organization committees and program committees in international conferences/workshops, including SIGMOD, VLDB, ICDE, EDBT, CIKM, ICDM, and ICSOC.

柳诚飞博士,澳大利亚Swinburne科技大学计算机科学与软件工程系教授,负责学校的“网络与数据工程”研究团队。分别于1983年、1985年和1988年获得南京大学计算机科学专业学士、硕士和博士学位。加入Swinburne科技大学之前,柳教授曾在南澳大学和悉尼科技大学任教,曾任职昆士兰大学分布式系统技术合作研究中心(DSTC)高级研究科学家。柳教授曾访问香港中文大学、日本艾祖大学和美国IBM硅谷实验室。柳老师目前的研究方向包括大型网络上的图形数据管理、结构化数据的关键字搜索、高级数据库应用程序的查询处理和改进以及以数据为中心的工作流等相关工作。柳老师的工作得到了超过六百万澳元的科研资助(主要是由ARC资助),并在顶级期刊/会议累计发表了230多篇论文,包括ACM Trans. on Database Systems (TODS), IEEE TKDE、VLDB杂志、SIGMOD、VLDB、ICDE、WWW、EDBT、WSDM、CIKM等,并在WISE 2007、ADC 20082018、CICling 2011、SSDBM 2007获得了最佳论文奖, 以及WWW2017的最佳demo奖。柳教授先后担任了超过130多个国际会议/研讨会的会议组织及PC,其中包括顶会SIGMOD、VLDB、ICDE、EDBT、CIKM、ICDMICSOC。

 

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