C. Seshadhri (Seshadhri Comandur)


I am an assistant professor of Computer Science at UC Santa Cruz, since 2015. Previously, I was a Principal Member of Technical Staff at Sandia National Labs, Livermore in the Information Security Sciences department. My work is primarily focussed on mathematical foundations of big data problems. I am interested in applying theoretical computer science methods (especially random sampling and sublinear algorithms) to realworld problems involving massive data sets. CV: pdf Brief BioC. Seshadhri is an assistant professor of Computer Science at the University of California, Santa Cruz. Prior to joining UCSC, he was a researcher at Sandia National Labs, Livermore in the Information Security Sciences department, during 20102014. His primary interest is in mathematical foundations of big data, especially modeling and algorithms. By and large, he works at the boundary of theoretical computer science and data mining. His work spans many areas: sublinear algorithms, graph algorithms, graph modeling, scalable computation, and data mining. His background is in theoretical computer science, specifically sublinear algorithms. He got his Ph.D from Princeton University and spent two years as a postdoc in IBM Almaden Labs. Program CommitteesITCS 2018, WSDM 2018, ALENEX 2018, KDD 2017, SIAM CSC 2016, SIAMNS 2015, ITCS 2015, SODA 2014, FSTTCS 2013, FOCS 2012 Selected papers (Full list)
PhD Students
Shweta Jain PTReviewEric Blais, Sourav Chakraborty, and I started a blog called Property Testing Review, a monthly digest of property testing and sublinear algorithms papers. Currently, it is edited by Clement Canonne, Gauram Kamath, and myself. 