List decodable codes have also found surprising applications extraneous to coding theory, in algorithms, complexity theory, and cryptography. I will briefly mention some of these, including a recent construction of unbalanced bipartite graphs with near-optimal expansion properties.
Venkatesan Guruswami received his Bachelor's degree from the Indian Institute of Technology at Madras in 1997 and his Ph.D. from the Massachusetts Institute of Technology in 2001. He will be an Associate Professor in the Computer Science Department at Carnegie Mellon University starting July 2009. Prior to this, he was a faculty member in the Department of Computer Science and Engineering at the University of Washington. Dr. Guruswami was a Miller Research Fellow at the University of California, Berkeley during 2001-02, and was on leave at the School of mathematics, Institute for Advanced Study during 2007-08.
Dr. Guruswami's research interests span a broad array of topITCS including the theory of error-correcting codes, approximation algorithms and non-approximability results for NP-hard optimization problems, explicit combinatorial constructions and pseudorandomness, probabilistically checkable proofs, computational complexity theory, and algebraic algorithms. He is especially well known for his contributions to the area of list error-correction, parts of which have been featured by NSF and Science magazine.
Dr. Guruswami is a recipient of several awards including the David and Lucile Packard Foundation Fellowship (2005), Alfred P. Sloan Foundation Fellowship (2005), NSF CAREER award (2004), ACM's Doctoral Dissertation Award (2002), and the IEEE Information Theory Society Paper Award (2000).