Galen Reeves

Reeves

Associate Professor in the Department of Electrical and Computer Engineering

Appointments and Affiliations

  • Associate Professor in the Department of Electrical and Computer Engineering
  • Associate 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 - Berkeley, 2011

Research Interests

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

Courses Taught

  • ECE 587: Information Theory
  • ECE 741: Compressed Sensing and Related Topics
  • ECE 899: Special Readings in Electrical Engineering
  • MATH 228L: Probability for Statistical Inference, Modeling, and Data Analysis
  • STA 240L: Probability for Statistical Inference, Modeling, and Data Analysis
  • STA 563: Information Theory
  • STA 693: Research Independent Study
  • STA 711: Probability and Measure Theory
  • STA 741: Compressed Sensing and Related Topics

In the News

Representative Publications

  • Kipnis, A; Reeves, G, Gaussian Approximation of Quantization Error for Estimation from Compressed Data, Ieee Transactions on Information Theory (2021) [10.1109/TIT.2021.3083271] [abs].
  • Reeves, G, A Two-Moment Inequality with Applications to Rényi Entropy and Mutual Information., Entropy, vol 22 no. 11 (2020) [10.3390/e22111244] [abs].
  • Barbier, J; Reeves, G, Information-theoretic limits of a multiview low-rank symmetric spiked matrix model, Ieee International Symposium on Information Theory Proceedings, vol 2020-June (2020), pp. 2771-2776 [10.1109/ISIT44484.2020.9173970] [abs].
  • Mathews, H; Mayya, V; Volfovsky, A; Reeves, G, Gaussian Mixture Models for Stochastic Block Models with Non-Vanishing Noise, 2019 Ieee 8th International Workshop on Computational Advances in Multi Sensor Adaptive Processing, Camsap 2019 Proceedings (2019), pp. 699-703 [10.1109/CAMSAP45676.2019.9022612] [abs].
  • Reeves, G; Xu, J; Zadik, I, All-or-Nothing Phenomena: From Single-Letter to High Dimensions, 2019 Ieee 8th International Workshop on Computational Advances in Multi Sensor Adaptive Processing, Camsap 2019 Proceedings (2019), pp. 654-658 [10.1109/CAMSAP45676.2019.9022473] [abs].