Venkatesan Guruswami received his bachelor's degree in Computer Science from the Indian Institute of Technology at Madras in 1997, and his PhD in Computer Science from the Massachusetts Institute of Technology in 2001. He is currently an Associate Professor in the Computer Science Department at Carnegie Mellon University. From 2002 to 2009, he was a faculty member at the University of Washington. He was a Miller Research Fellow at UC Berkeley during 2001-02, and was a member in the School of Mathematics at the Institute for Advanced Study during 2007-08. His research interests span several topics in theoretical computer science, such as the theory of error-correcting codes, approximability of fundamental optimization problems, explicit combinatorial constructions and pseudorandomness, probabilistically checkable proofs, computational complexity theory, and algebraic algorithms. He currently serves on the editorial boards of the SIAM Journal on Computing, IEEE Transactions on Information Theory, and the ACM Transactions on Computation Theory, and was program committee chair for the 2012 Computational Complexity conference. He was an invited speaker at the 2010 International Congress of Mathematicians. He is a recipient of the Presburger Award (2012), Packard Fellowship (2005), Sloan Fellowship (2005), NSF CAREER award (2004), ACM Doctoral Dissertation Award (2002), and IEEE Information Theory Society Paper Award (2000).
- Information Theory, Spring 2015. Visiting Scientist, Program Organizer and Workshop Organizer.