I am an assistant research scientist at the
Center for Automation Research (CfAR),
University of Maryland.
I recently got my doctoral degree in Computer Science from the
University of Maryland. My Ph.D. advisor was
Prof. Hanan Samet.
I got my bachelors degree in Computer Science from
RV College of Engineering,
Bangalore in 2002.
I was a teaching assistant for
CMSC 420
in Fall 2005,
CMSC 725
in Fall 2006, and
CMSC 828M
in Spring 2008.
In Fall of 2008, I co-taught a course on
Applications of
GPU and Cloud Computing to Databases.
My research interests include the study of
Spatial Data Structures
with applications to
Spatial Databases,
Spatial Network Databases
and GIS.
I am also interested in performing
database operations on the GPU. My recent research effort focuses on identifying geographic locations in
web documents resulting in a
spatio-textual search engine,
called STEWARD, and a
spatially-cognizant news reading system, called NewsStand.
I am the recipient of the Dean's fellowship award for excellence in research for the year 2007-2008
and co-organized the Dean's Fellows Lecture Series.
I got the best paper awards at the
SIGMOD 2008 and
ACM SIGPATIAL GIS 2008
conferences and a Best Journal Paper of 2007 Award
at the Computers & Graphics Journal.
My doctoral dissertation
was nominated for the ACM Doctoral Dissertation Award by the University of Maryland.
I was the poster chair for the ACM GIS 2007 and ACM SIGPATIAL GIS 2008 conferences.
I am looking for academic and research jobs in 2009. If you are a prospective employer, please send me a note.
-
J. Sankaranarayanan,
H. Samet,
H. Alborzi
Path oracles for spatial networks.
In Proceedings of the 35th International Conference on Very
Large Data Bases (VLDB), Lyon, France, September 2009.
Categories:
[shortest path,
nearest neighbor finding]
-
J. Sankaranarayanan,
H. Samet
Distance oracles for spatial networks.
In Proceedings of the 25th IEEE International Conference on Data Engineering,
Shanghai, China, April 2009.
[link]
(Invited to the "Best Papers of ICDE 2009" TKDE special issue)
Categories:
[shortest path,
nearest neighbor finding]
- B. Teitler,
M. D. Lieberman,
D. Panozzo,
J. Sankaranarayanan,
H. Samet, J. Sperling
NewsStand: A new view on news.
In Proceedings of the 16th ACM SIGSPATIAL
International Conference on Advances in Geographic Information Systems,
pages 144-153, Irvine, CA, November 2008.
[link]
(ACM SIGSPATIAL GIS 2008 Best Paper Award)
Categories: [spatio-textual search engine]
-
H. Samet,
J. Sankaranarayanan,
H. Alborzi,
Scalable network distance browsing in spatial databases.
In Proceedings of the ACM SIGMOD Conference, pages 43-54, Vancouver,
Canada, June 2008.
Also University of Maryland Computer Science Technical Report TR-4865,
April 2007.
[link]
(SIGMOD 2008 Best paper award)
Categories: [shortest path, nearest neighbor finding]
- J. Sankaranarayanan,
H. Samet,
A. Varshney,
A fast all nearest neighbor algorithm for applications involving
large point-clouds.
Computers & Graphics, 31(2):157-174, April 2007.
[link]
(Best Journal Paper of 2007 Award)
Categories: [nearest neighbor
finding,
computer graphics]
-
M. D. Lieberman,
J. Sankaranarayanan,
H. Samet,
A fast similarity join algorithm using graphics processing units.
In Proceedings of the 24rd IEEE International Conference on
Data Engineering, Cancun, Mexico, April 2008.
[link]
Categories: [parallel processing]
- J. Sankaranarayanan,
H. Alborzi,
H. Samet,
Efficient query processing on spatial networks.
In Proceedings of the 13th ACM International Symposium on
Advances in Geographic Information Systems, pages 200-209, Bremen, Germany,
November 2005.[link]
Categories: [shortest
path, nearest neighbor
finding]
- J. Sankaranarayanan,
H. Alborzi,
H. Samet,
Enabling query processing on spatial networks.
In Proceedings of the 22nd IEEE International Conference on
Data Engineering, page 163, Atlanta, GA, April 2006.[link]
Categories: [shortest path, nearest neighbor finding]
- J. Sankaranarayanan,
H. Alborzi,
H. Samet,
Distance join queries on spatial networks.
In Proceedings of the 14th ACM International Symposium on
Advances in Geographic Information Systems, pages 211-218, Arlington, VA, November 2006.[link]
Categories: [shortest path, nearest neighbor finding]
- J. Sankaranarayanan,
H. Samet,
A. Varshney,
Fast
-neighborhood algorithm for large point-clouds.
In M. Botsch, B. Chen, M. Pauly, and M. Zwicker, editors, Proceedings of the 3rd IEEE/Eurographics Symposium on Point-Based
Graphics, pages 75-84, Boston, MA, July 2006.[link]
(Invited to a Journal)
Categories: [nearest neighbor finding, computer graphics]
-
M. D. Lieberman,
H. Samet,
J. Sankaranarayanan,
J. Sperling,
STEWARD: architecture of a spatio-textual search engine.
In Proceedings of the 15th ACM International Symposium on
Advances in Geographic Information Systems, Seattle, WA, November
2007.[link]
Categories: [
spatio-textual
search engine]
- H. Samet,
M. D. Lieberman,
J. Sankaranarayanan,
J. Sperling,
STEWARD: Demo of spatio-textual extraction on the web aiding the
retrieval of documents.
In Proceedings of the 7th National Conference on Digital
Government Research, pages 300-301, Philadelphia, PA, May
2007.[link]
Categories: [digital government]
- M. D. Lieberman,
J. Sankaranarayanan,
H. Samet,
J. Sperling,
Augmenting spatio-textual search with an infectious disease ontology.
In IIMAS'08: Workshop on Information Integration Methods,
Architectures, and Systems, Cancun, Mexico, April 2008.
[link]
Categories: [spatio-textual search engine]
- H. Samet,
A. Phillippy,
J. Sankaranarayanan,
Knowledge discovery using the SAND spatial browser.
In Proceedings of the 7th National Conference on Digital
Government Research, pages 284-285, Philadelphia, PA, May 2007.
[link]
Categories: [digital government]
- H. Samet,
F. Brabec,
J. Sankaranarayanan,
Importing abstract spatial data into the SAND database system.
In Proceedings of the 4th National Conference on Digital
Government Research, pages 285-286, Seattle, WA, May 2004.
[link]
Categories: [spatial database, digital government]
- J. Sankaranarayanan,
E. Tanin,
H. Samet,
F. Brabec,
Accessing diverse geo-referenced data sources with the SAND spatial DBMS.
In Proceedings of the 3rd National Conference on Digital
Government Research, pages 331-334, 297, Boston, MA, May 2003.
[link]
Categories: [spatial database, digital government]