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:
  • website

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

• Pratt Senior Creates Model to Predict How Self-Driving Cars Might Affect Traffic (Mar 3, 2017 | Pratt School of Engineering)

Representative Publications

• Reeves, G; Mayya, V; Volfovsky, A, The Geometry of Community Detection via the MMSE Matrix, Ieee International Symposium on Information Theory Proceedings, vol 2019-July (2019), pp. 400-404 [10.1109/ISIT.2019.8849594] [abs].
• Kipnis, A; Reeves, G, Gaussian Approximation of Quantization Error for Estimation from Compressed Data, Ieee International Symposium on Information Theory Proceedings, vol 2019-July (2019), pp. 2029-2033 [10.1109/ISIT.2019.8849826] [abs].
• 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, Ieee International Symposium on Information Theory Proceedings, vol 2018-June (2018), pp. 71-75 [10.1109/ISIT.2018.8437761] [abs].