Mark A. Davenport
Associate Professor
Center for Signal and Information Processing
Center for Machine Learning
School of Electrical & Computer Engineering
Georgia Institute of Technology
Contact information
CV || Biography || Academic genealogy
I am an Associate Professor in the School of Electrical & Computer Engineering at the Georgia Institute of Technology. I am a member of the Center for Machine Learning and the Center for Signal and Information Processing. My Erdős number is 3, but my Bacon number is 2, which gives me a very respectable Erdős-Bacon number of 5.
My research interests lie in the intersection of the fields of signal processing, high-dimensional statistics, and machine learning. I am particularly interested in the fundamental role that low-dimensional models and optimization play in these fields.
News
- Opportunity Research Scholars team wins Best Presentation Award
- Received the 2017 Class of 1940 W. Roane Beard Outstanding Teacher Award
- Awarded the 2017 Sloan Research Fellowship in Mathematics
Selected recent papers
- M. R. O'Shaughnessy, M. A. Davenport, and C. J. Rozell, “Sparse Bayesian learning with dynamic filtering for inference of time-varying sparse signals.” Preprint, 2019.
- R. S. Srinivasa, M. A. Davenport, and J. Romberg, “Trading beams for bandwidth: Imaging with randomized beamforming.” Preprint, 2019.
- M. G. Moore and M. A. Davenport, “Estimation of Poisson arrival processes under linear models.” to appear in IEEE Transactions on Information Theory, 2019.
- S. Karnik, Z. Zhu, M. B. Wakin, J. Romberg, and M. A. Davenport, “The Fast Slepian Transform.” to appear in Applied and Computational Harmonic Analysis, 2019.
- A. K. Massimino and M. A. Davenport, “As you like it: Localization via paired comparisons.” Preprint, 2018.