Prof. Vinodchandran Variyam is broadly interested in computer science topics where there is a fundamental computational efficiency concern. Concretely, his research spans multiple areas of core computer science topics including computational complexity theory, machine learning, and large data management. His contributions to complexity theory have played a significant role in advancing the state-of-the-art in several topics including de-randomization, circuit complexity, space-limited computations, and Kolmogorov complexity. In addition to computational complexity, his current research themes also include reproducible computations, sample efficiency in distribution learning and testing, and algorithms for streaming data and their applications.
Jason Vander Woude (Current)
Sutanu Gayen (Graduated in 2019. Currently Faculty at IIT Kanpur)
Derrick Stolee (Jointly with Prof. Stephen Hartke, Graduated in 2012. Currently Principle Software Engineer at GitHub)
Raghunath Tewari (Graduated in 2011. Currently Faculty at IIT Kanpur)
Chris Bourke (Graduated in 2008. Currently Associate Prof. of Practice at UNL)