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Gautam
Das is Professor and Head of the Database
Exploration Laboratory (DBXLAB) at the CSE
department of UT-Arlington. Prior to joining UTA in Fall 2004, Dr. Das has
held positions at Microsoft Research, Compaq Corporation and the
University of Memphis. He graduated with a B.Tech in computer science from IIT Kanpur, India, and with a Ph.D in computer science
from the University of Wisconsin, Madison.
Dr.
Das's research interests span data mining,
information retrieval, databases, algorithms and computational geometry. He
is currently interested in ranking, top-k query processing, and sampling
problems in databases, as well as data management problems in the deep web,
P2P and sensor networks, social networks, blogs and web communities. While
at Microsoft Research he was extensively involved in the design and
implementation of association mining algorithms, sampling based approximate
query processing, and in the integration of database and information
retrieval techniques. Prior to Microsoft, he has worked in clustering of
categorical data and time series similarity, and also in the classical
algorithms areas of shortest paths, spanning networks and geometric
visibility.
His
research has resulted in over 130 papers, many of which have appeared in
premier data mining, database and algorithms conferences and journals. His
papers have received several awards, including the IEEE ICDE 2012 Influential
Paper award, VLDB Journal special issue on Best Papers of VLDB 2007, Best
Paper of ECML/PKDD 2006, and Best Paper (runner up) of ACM SIGKDD 1998.
He
is on the Editorial Board of the journals ACM TODS and IEEE TKDE. He has
served as General Chair of ICIT 2009, Program Chair of COMAD 2008, CIT 2004
and SIGMOD-DMKD 2004, Best Paper Awards Chair of ACM SIGKDD 2006, as well
as in program committees of numerous conferences. He has served as a Guest
Editor for the ACM TKDD special issue devoted to the best papers of ACM SIGKDD
2006.
Dr.
Das's research has been supported by grants from
National Science Foundation, Office of Naval Research, Department of Education,
Texas Higher Education Coordinating Board, Microsoft Research, Nokia
Research, Cadence Design Systems and Apollo Data Technologies.
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