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Goal: All aspects of gathering, managing and mining massive data. Expertise includes Algorithms, Economics, Advertising, Databases, Networking, Systems and Engineering.

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 Sublinear Approach to Big Data, 14 --
NSF Sparse Approximation, 12--
NSF Auctions and Optimzations in Ad Exchanges, 11-- 15
US Govt Online Ads, User Identities, 12--14
NSF Decision Making Algorithms, 09 -- 13
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.

Adobe
Microsoft
Telcordia
Sprint
Narus
Current:
Darja Krushevskaja
Qiang Ma
Chaolun Xia
 
Graduated:
Jinyun Yan (PhD 15, Tango)
Aleksandar Nikolov (PhD 15, U. Toronto)
Brian Thompson (PhD 14)
Smriti Bhagat (PhD 10, Facebook)
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!).