Ravindran Kannan

Ravi Kannan works in theoretical Computer Science and theoretical Machine Learning. He received his bachelor’s degree from the Indian Institute of Technology, Bombay and Ph.D. from Cornell University. After a postdoc fellowship in University of California, Berkeley, he was a faculty member at Massachusetts Institute of Technology, Carnegie-Mellon University and Yale University and was a Principal Researcher at Microsoft Research Labs., India. With coauthors Martin Dyer and Alan Frieze, he devised the first polynomial time algorithm for estimating the volume of multi-dimensional convex sets. They received the Fulkerson Prize for this work. He received the Knuth Prize in 2011 for lifetime contributions to Theoretical Computer Science. He is a fellow of the American Academy of Arts and Sciences and a member of the National Academy of Sciences.