[Adapt] Talk: Timos Sellis on Tuesday 10 am

Kenny Zhu kzhu at cs.sjtu.edu.cn
Mon May 15 09:33:56 CST 2017


Dear colleagues,

 

It's my pleasure to invite Prof. Timos Sellis from Swinburne University of
Technology to visit us and give a talk on efficient processing of
spatio-textual queries tomorrow morning. Please disseminate this info to
your students.

 

Thanks and best,

 

Kenny

 

 

 

Title: EFFICIENT PROCESSING OF SPATIO-TEXTUAL QUERIES

 

Speaker: Timos Sellis, Director, Swinburne Data Science Research Institute,
Swinburne University of Technology

 

Time: Tuesday, 5/16/2017, 10 AM 

 

Venue: SEIEE-03-414

 

Abstract:  

As a result of the increasing popularity of GPS enabled mobile devices, the
volume of content associated with both a geographic location and a text
description is growing rapidly on the web. The availability of this data
enables us to answer many real-life spatial-textual queries for different
applications. This research addresses the increasing demand of answering
real-life queries that are useful, especially in business and marketing
applications. In addition, the need to improve the performance while
processing a large number of queries together arising in many problems.
Specifically, the following questions are addressed in this research:

 

1)            How can multiple Top-k Spatial-Textual queries be efficiently
batch processed?

2)            How can Maximizing the Bichromatic Reverse Spatial-textual k
Nearest Neighbor queries be answered efficiently?

3)            How can the top-m objects with the highest aggregate spatial
rank be continuously monitored for streaming queries?

 

(Joint work with Farhana M. Choudhury, J. Shane Culpepper and Zhifeng Bao)

 

 

Bio: 

Timos Sellis is a Professor at Swinburne University of Technology,
Australia. He got his Diploma degree in Electrical Engineering in 1982 from
the National Technical University of Athens (NTUA), Greece. In 1983 he got
the M.Sc. degree from Harvard University and in 1986 the Ph.D. degree from
the University of California at Berkeley, both in Computer Science. In 1986,
he joined the Department of Computer Science of the University of Maryland,
College Park as an Assistant Professor, and became an Associate Professor in
1992. Between 1992 and 1996 he was an Associate Professor at NTUA, where he
served as a Professor till January 2013. He is currently a Professor at the
School of Software and Electrical Engineering of Swinburne University of
Technology in Australia. Prof. Sellis was also the Director of a new
research institute he founded in Greece, the Institute for the Management of
Information Systems (IMIS) of the "Athena" Research Center
(www.imis.athena-innovation.gr) between 2007 and 2012. At Swinburne, he is
also the director of the recently established Swinburne Data Science
Research Institute.

His research interests include big data, data streams, personalization, data
integration, and spatio- temporal database systems. He has published over
200 articles in refereed journals and international conferences in the above
areas, has over 13,100 citations to his work and has been invited speaker in
major international events. He has also participated and co-ordinated
several national and european research projects. Prof. Sellis is a recipient
of the prestigious Presidential Young Investigator (PYI) award given by the
President of USA to the most talented new researchers (1990), and of the
VLDB 1997 10 Year Paper Award in 1997 (awarded to the paper published in the
proceedings of the VLDB 1987 conference that had the biggest impact in the
field of database systems in the decade 1987-97).   He was the president of
the National Council for Research and Technology of Greece (2001-2003). In
November 2009, he was awarded the status of IEEE Fellow, for his
contributions to database query optimization, and spatial data management,
and in November 2013 the status of ACM Fellow, for his contributions to
database query optimization, spatial data management, and data warehousing.

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://cs.sjtu.edu.cn/pipermail/adapt/attachments/20170515/4b88ae27/attachment.html>


More information about the Adapt mailing list