About the Authors
Sayan Bhattacharya
Sayan Bhattacharya
Graduate Student
Department of Computer Science
Duke University, Durham, NC 27708
bsayan[ta]cs[td]duke[td]edu
http://www.cs.duke.edu/~bsayan
Sayan Bhattacharya is a Ph.D. student in the Department of Computer Science at Duke University. His adviser is Kamesh Munagala. He obtained his B.E. in Computer Science and Engineering from Jadavpur University, Kolkata in July 2008. He is interested in Approximation Algorithms and Computational Microeconomics.
Gagan Goel
Gagan Goel
Research Scientist
Google Inc.
New York, NY
gagangoel[ta]google[td]com
http://research.google.com/pubs/GaganGoel.html
Gagan Goel is a research scientist at Google. His research interests lie in the design and analysis of algorithms and its applications to optimization, market design, and game theory. He received his Ph.D. in Algorithms, Combinatorics, and Optimization from Georgia Tech in August 2009 under the supervision of Vijay Vazirani. Before that he received his B.Tech. in Computer Science and Engineering from the Indian Institute of Technology, Delhi in August 2004.
Sreenivas Gollapudi
Sreenivas Gollapudi
Senior Researcher
Microsoft Search Labs
Mountain View, CA 94043
sreenig[ta]microsoft[td]com
http://research.microsoft.com/en-us/people/sreenig/
Sreenivas Gollapudi is a Senior Researcher at Microsoft Search Labs which he joined in July 2006. Prior to moving to Search Labs, he held senior engineering roles at Ebrary in their Advanced Technologies Group and in the distributed database group at Oracle. He obtained his B.Tech. from IIT Bombay, and his Ph.D., in 2004, from the State University of New York at Buffalo where his advisor was Aidong Zhang. He is a holder of twenty-nine US patents. His current research interests include web algorithms, algorithms for large data sets, and game theoretic approaches to social network analysis.
Kamesh Munagala
Kamesh Munagala
Associate Professor
Department of Computer Science
Duke University, Durham, NC 27708
kamesh[ta]cs[td]duke[td]edu
http://www.cs.duke.edu/~kamesh
Kamesh Munagala is Associate Professor of Computer Science Science at Duke University, where he has been employed since 2004. He received his M.S. degree in 2002 and his Ph.D. in 2003, both from Stanford University. His advisor was Serge Plotkin. He received his B.Tech. degree in 1998 from the Indian Institute of Technology, Bombay where his advisor was Abhiram Ranade. He spent a year as a post-doctoral scholar in Pat Brown's Lab doing computational biology at the Department of Biochemistry, Stanford University School of Medicine. His research interests are in approximation algorithms, combinatorial optimization, computational economics, scheduling theory, social networks, and data mining. He received an NSF CAREER award in 2008 and an Alfred P. Sloan research fellowship in 2009.