Mark A. Davenport
Center for Signal and Information Processing
Center for Machine Learning
School of Electrical & Computer Engineering
Georgia Institute of Technology
Curriculum vitae (pdf)
I am an Assistant 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. See my bio or CV for more about me.
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.
- “Dynamic matrix recovery from incomplete observations under an exact low-rank constraint" accepted to NIPS 2016
- Received the 2016 CETL/BP Teaching Award
- “Signal processing with compressive measurements” awarded the 2015 Best Paper Award from the IEEE Signal Processing Society at ICASSP 2016
Selected recent papers
- S. Karnik, Z. Zhu, M. B. Wakin, J. Romberg, and M. A. Davenport, “The Fast Slepian Transform.” Preprint, November 2016.
- L. Xu and M. A. Davenport, “Dynamic matrix recovery from incomplete observations under an exact low-rank constraint.” To appear in Proc. Advances in Neural Information Processing Systems (NIPS), Barcelona, Spain, December 2016.
- M. A. Davenport, A. K. Massimino, D. Needell, and T. Woolf, “Constrained adaptive sensing.” IEEE Trans. on Signal Processing, 64(20), pp. 5437-5449, October 2016. [arXiv]
- M. A. Davenport and J. Romberg, “An overview of low-rank matrix recovery from incomplete observations,” IEEE J. of Selected Topics in Signal Processing, 10(4), pp. 608-622, June 2016. [arXiv]