Mark Davenport
Mark Davenport is a Georgia Tech professor whose research links machine learning with signal processing and statistical inference. He earned degrees in electrical and computer engineering at Rice, served as an NSF postdoctoral fellow at Stanford, and joined Georgia Tech's ECE faculty in 2012. He coauthored a 2010 paper on inference from compressive measurements and a 2025 paper on test-time adaptation for seismic deconvolution. As of October 2026, he is a professor and associate chair for graduate affairs in Georgia Tech's School of Electrical and Computer Engineering.
Timeline
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2004–2010
Degrees at Rice
He earns B.S., M.S., and Ph.D. degrees in electrical and computer engineering at Rice in 2004, 2007, and 2010.
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2010
Signal processing with compressive measurements
In 2010, he coauthors "Signal processing with compressive measurements," a paper that explores inference tasks such as detection, classification, estimation, and filtering directly from compressive measurements.
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By 2012
A Stanford postdoctoral fellowship
Before joining Georgia Tech's ECE faculty in 2012, he serves as an NSF Mathematical Sciences Postdoctoral Research Fellow at Stanford University and visits Laboratoire Jacques-Louis Lions at Université Pierre et Marie Curie.
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2012
Faculty at Georgia Tech
In 2012, he joins Georgia Tech's School of Electrical and Computer Engineering. His research focuses on low-dimensional models and optimization in signal processing, statistical inference, and machine learning.
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By 2024
NSF, Sloan, and PECASE awards
By 2024, his honors include the NSF CAREER Award, the Air Force Office of Scientific Research Young Investigator Award, the Sloan Research Fellowship, and the Presidential Early Career Award for Scientists and Engineers.
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June 2024
Associate chair for graduate affairs
In June 2024, he joins Georgia Tech's ECE leadership team as associate chair for graduate affairs.
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2025
Test-time adaptation for seismic data
In 2025, he coauthors "Test-Time Forward Model Adaptation for Seismic Deconvolution," which refines the forward model during inference.
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As of October 2026
Professor and associate chair
As of October 2026, he is a professor in Georgia Tech's School of Electrical and Computer Engineering and serves as associate chair for graduate affairs.
Career
- Since 2012Georgia Institute of TechnologyProfessor
- Stanford UniversityNSF Mathematical Sciences Postdoctoral Research Fellow
Education
- 2010Rice UniversityB.S., M.S., and Ph.D.
Sources and credits
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- Rice Engineering awards alumni with virtual toast | George R. Brown School of Engineering | Rice University
- Signal processing with compressive measurements - Houston Methodist Scholars
- Davenport Named Associate Chair for Graduate Affairs | ML (Machine Learning) at Georgia Tech
- Test-Time Forward Model Adaptation for Seismic Deconvolution - King Fahd University of Petroleum & Minerals
- Graduate Student Handbook: Academic Advisement | School of Electrical and Computer Engineering

