Professor Vinodchandran Variyam's research interests are centered around computer science subjects that involve fundamental computational efficiency concerns. His work encompasses various core computer science areas, such as computational complexity theory, machine learning, and large data management. He has made significant contributions to complexity theory, advancing the state-of-the-art in several important topics, including de-randomization, circuit complexity, space-limited computations, and Kolmogorov complexity. Beyond computational complexity, Prof. Vinodchandran is currently engaged in research themes that include reproducible computations, sample efficiency in distribution learning and testing, and algorithms development for streaming data and their applications. His work in these areas has the potential to make substantial advancements in the field and contribute to solving complex challenges related to efficiency and computation.
Jason Vander Woude (Graduated in 2023. Joining Sandia National Labs)
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)