(734) 763-3005
Applications: Electrical Energy Usage Data Methodologies: Algorithms, Cryptography, Theoretical Computer Science Relevant Projects: DARPA, NSF

Martin J. Strauss

Professor, Electrical Engineering and Computer Science, Mathematics

My interests include randomized approximation algorithms for massive data sets, including, specifically, sublinear-time algorithms for sparse recovery in the Fourier and other domains.  Other interests include data privacy, including privacy of energy usage data.