Optimal Information Storage: Nonsequential Sources and Neural Channels,
S.M. thesis, Department of Electrical Engineering and Computer Science, MIT, June 2006
Unreliable and Resource-Constrained Decoding,
Ph.D. thesis, Department of Electrical Engineering and Computer Science, MIT, March 2010
Lav Varshney received the B.S. degree with honors in electrical and computer engineering (magna cum laude) from Cornell University in 2004.
His PhD was completed as a National Science Foundation Graduate Research Fellow.
As an instructor in Spring 2009 and a teaching assistant in Fall 2006, Lav
taught 6.003 (Signals and Systems) and 6.972 (Algorithms for Estimation
and Inference). He was a visitor at the École Polytechnique Fédérale de
Lausanne in 2006, a visiting scientist at Cold Spring Harbor Laboratory in
2005, a research engineering intern at Syracuse Research Corporation during
2002-2003, and an engineering intern at Sensis Corporation in 2001.
Lav is a member of Tau Beta Pi, Eta Kappa Nu, Sigma Xi, IEEE, and SIAM. He
received the Ernst A. Guillemin Thesis Award for Outstanding Electrical
Engineering S. M. Thesis, the Capocelli Prize at the 2006 Data Compression
Conference, the Best Student Paper Award at the 2003 IEEE Radar Conference,
and was a winner of the IEEE 2004 Student History Paper Contest.