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Galen Reeves

Galen Reeves

Assistant Professor in the Department of Electrical and Computer Engineering

Appointments and Affiliations

  • Assistant Professor in the Department of Electrical and Computer Engineering
  • Assistant Professor of Statistical Science

Contact Information

  • Office Location: 140 Science Dr., 321 Gross Hall, Durham, NC 27708
  • Office Phone: (919) 668-4042
  • Email Address: galen.reeves@duke.edu
  • Websites:

Education

  • Ph.D. University of California at Berkeley, 2011

Research Interests

Information theory, high-dimensional statistical inference, statistical signal processing, compressed sensing, machine learning

Courses Taught

  • ECE 280L9: Signals and Systems - Lab
  • ECE 280L: Introduction to Signals and Systems
  • ECE 494: Projects in Electrical and Computer Engineering
  • ECE 587: Information Theory
  • ECE 741: Compressed Sensing and Related Topics
  • ECE 899: Special Readings in Electrical Engineering
  • STA 563: Information Theory
  • STA 741: Compressed Sensing and Related Topics
  • STA 993: Independent Study

In the News

Representative Publications

  • Reeves, G; Pfister, HD, The Replica-Symmetric Prediction for Random Linear Estimation With Gaussian Matrices Is Exact, Ieee Transactions on Information Theory, vol 65 no. 4 (2019), pp. 2252-2283 [10.1109/TIT.2019.2891664] [abs].
  • Reeves, G; Pfister, HD; Dytso, A, Mutual Information as a Function of Matrix SNR for Linear Gaussian Channels, Ieee International Symposium on Information Theory Proceedings, vol 2018-June (2018), pp. 1754-1758 [10.1109/ISIT.2018.8437326] [abs].
  • Kipnis, A; Reeves, G; Eldar, YC, Single Letter Formulas for Quantized Compressed Sensing with Gaussian Codebooks, 2018 Ieee International Symposium on Information Theory (Isit) (2018) [10.1109/isit.2018.8437761] [abs].
  • Reeves, G, Additivity of information in multilayer networks via additive Gaussian noise transforms, 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton) (2017) [10.1109/allerton.2017.8262855] [abs].
  • Kipnis, A; Reeves, G; Eldar, YC; Goldsmith, AJ, Compressed sensing under optimal quantization, Ieee International Symposium on Information Theory Proceedings (2017), pp. 2148-2152 [10.1109/ISIT.2017.8006909] [abs].