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Goal: All aspects of gathering, managing and mining massive data including  text, telecommunications, sensor, epidemiological, location,
web and  insurance data. Expertise includes Algorithms, Databases, Networking, Systems and Engineering. In particular, we welcome
the challenge to provide full hosting and analysis service, no matter the domain, application or the data format, and are open for consulting.

Old Stream Stuff:   NSF Announcement (Slide, Photo).  Open House Poster (Gives an OVERVIEW).  Code.
             

People
Grants
Industry Support
Students

Professor    
 S.Muthukrishnan

Collaborator (now @Univ Warwick, UK):
Graham Cormode

Visitors:
Claudio Tancioni (04)
Magdalena Punceva (11)
Raj Rajagopalan (HP Labs, 05)

NSF Sparse Approximation, 2012--
NSF Auctions and Optimzations in Ad Exchanges, 2011--
NSF Decision Making Algorithms, 2009 -- 2013
DHS CCICADA 2009 --
DHS DyDAn, 2006 -- 2009
Algorithms for sparse approximations.
NSF FRG in Mathematics, 2004--2007.
Sublinear Algorithms.
NSF ITR, 2002—2005. Extended 2006.
Mining Massive Data Streams for Homeland
Security. KDD, 2002—2005.
Mathematical Methods for Epidemiology,
(DIMACS) NSF,  2002—2005.

Microsoft
Telcordia
Sprint
Narus
Current:
Darja Krushevskaja
Qiang Ma
Aleksandar Nikolov
Jinyun Yan
 
Graduated:
Brian Thompson (PhD 14)
Smriti Bhagat (PhD 10, Technicolor)
Andre Maderia (PhD 10, Google)
Su Chen  (PhD 08, NetApp)
Irina Rozenbaum (PhD 07, Google)
Vlad Shkapenyuk (Phd 07, AT&T)
Yihua Wu  (PhD 07, Google)

Hongyi Xue (MS 08, Yahoo!)
Wei Zhuang (MS 08, Microsoft)
M. Preetham (MS 05, Bloomberg)
A. Gaur (MS 04, Yahoo!).