Mark A. Davenport is an Assistant Professor with the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA. Prior to this, he spent 2010–2012 as an NSF Mathematical Sciences Postdoctoral Research Fellow in the Department of Statistics at Stanford University and as a visitor with the Laboratoire Jacques-Louis Lions at the Université Pierre et Marie Curie. He received the B.S.E.E., M.S., and Ph.D. degrees in electrical and computer engineering in 2004, 2007, and 2010, all from Rice University. His primary area of research concerns the fundamental role that low-dimensional models and optimization play in signal processing, statistical inference, and machine learning.
Prof. Davenport is a recipient of both the National Science Foundation CAREER and Air Force Office of Scientific Research Young Investigator awards. In 2015 he received the Best Paper Award from the IEEE Signal Processing Society. He has received numerous teaching awards, including the CETL/BP Teaching Award (2016), the Lockheed Dean’s Excellence in Teaching Award (2015), the LexisNexus Dean’s Excellence Award (2014), and the Class of 1940 Teaching Effectiveness Award (2013). Prof. Davenport was also awarded the Ralph Budd Award for the best engineering thesis from Rice University in 2011 and shared the Hershel M. Rich Invention Award from Rice University in 2007 for his work on the single-pixel camera and compressive sensing. He currently serves as an Associate Editor for IEEE Transactions on Signal Processing.