Mark A. Davenport
Center for Signal and Information Processing
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 Machine Learning @ Georgia Tech 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.
- Paper on “Dynamic matrix recovery from incomplete observations under an exact low-rank constraint" accepted to NIPS (2016)
- Received the CETL/BP Teaching Award (2016)
- Signal processing with compressive measurements awarded the 2015 Best Paper Award from the IEEE Signal Processing Society at ICASSP (2016)
- Video tutorial on compressive sensing added to IEEE Signal Processing Society Resource Center (2013)
- Compressed Sensing available on Amazon (2012)
Selected recent papers
- M. A. Davenport, A. K. Massimino, D. Needell, and T. Woolf, “Constrained adaptive sensing.” to appear in IEEE Trans. on Signal Processing, 2016.
- 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]
- M. A. Davenport, Y. Plan, E. van den Berg, and M. Wootters, “1-bit matrix completion,” Information and Inference, 3(3), pp. 189-223, September 2014. [arXiv]