Galen Reeves
Assistant Professor in the Department of Electrical and Computer Engineering
Current Appointments & Affiliations
 Assistant Professor in the Department of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2013
 Assistant Professor of Statistical Science, Statistical Science, Trinity College of Arts & Sciences 2013
Contact Information
 140 Science Dr., 321 Gross Hall, Durham, NC 27708
 galen.reeves@duke.edu (919) 6684042
 website
 Background

Education, Training, & Certifications
 Ph.D., University of California at Berkeley 2011
 Recognition

In the News

MAR 3, 2017 Pratt School of Engineering

 Research

Selected Grants
 CAREER: Theoretical Foundations for Probabilistic Models with Dense Random Matrices awarded by National Science Foundation 2018  2023
 CIF: Small: Capacity via Symmetry awarded by National Science Foundation 2017  2020
 LAS DO6: Theory and Methods for Coarsened Decision Making; Synthetic Data Release: The Tradeoff between Privacy and Utility of Big Data awarded by North Carolina State University 2016
 LAS DO5: Information Theoretic Measures for Complex and Uncertain Data awarded by North Carolina State University 2015
 Data Readiness Level  Task 2.7; Delivery Order 03 awarded by North Carolina State University 2014  2015
 Data Readiness Level  Mathematical Foundations awarded by North Carolina State University 2013  2014
 Publications & Artistic Works

Selected Publications

Conference Papers
 Kipnis, A, Reeves, G, and Eldar, YC. "Single Letter Formulas for Quantized Compressed Sensing with Gaussian Codebooks." August 15, 2018. Full Text
 Reeves, G, Pfister, HD, and Dytso, A. "Mutual Information as a Function of Matrix SNR for Linear Gaussian Channels." August 15, 2018. Full Text
 Reeves, G. "Additivity of information in multilayer networks via additive Gaussian noise transforms." January 17, 2018. Full Text
 Kipnis, A, Reeves, G, Eldar, YC, and Goldsmith, AJ. "Compressed sensing under optimal quantization." August 9, 2017. Full Text
 Reeves, G. "Twomoment inequalities for Rényi entropy and mutual information." August 9, 2017. Full Text
 Reeves, G. "Conditional central limit theorems for Gaussian projections." August 9, 2017. Full Text
 Mainsah, BO, Collins, LM, Reeves, G, and Throckmorton, CS. "A performancebased approach to designing the stimulus presentation paradigm for the P300based BCI by exploiting coding theory." June 16, 2017. Full Text
 Mayya, V, Mainsah, B, and Reeves, G. "Informationtheoretic analysis of refractory effects in the P300 speller." March 1, 2017. Full Text
 Mayya, V, Mainsah, B, and Reeves, G. "Modeling the P300based braincomputer interface as a channel with memory." February 10, 2017. Full Text
 Renna, F, Wang, L, Yuan, X, Yang, J, Reeves, G, Calderbank, R, Carin, L, and Rodrigues, MRD. "Classification and Reconstruction of HighDimensional Signals From LowDimensional Features in the Presence of Side Information." November 2016. Full Text
 Reeves, G, and Pfister, HD. "The replicasymmetric prediction for compressed sensing with Gaussian matrices is exact." August 10, 2016. Full Text
 Llull, P, Reeves, G, Carin, L, Brady, DJ, Llull, P, Reeves, G, Carin, L, and Brady, DJ. "Performance assessment of image translationengineered point spread functionsPerformance assessment of image translationengineered point spread functions (PublishedPublished)." July 18, 2016. Full Text
 Renna, F, Wang, L, Yuan, X, Yang, J, Reeves, G, Calderbank, R, Carin, L, and Rodrigues, MRD. "Classification and reconstruction of compressed GMM signals with side information." September 28, 2015. Full Text
 Van Den Boom, W, Dunson, D, and Reeves, G. "Quantifying uncertainty in variable selection with arbitrary matrices." January 1, 2015. Full Text

Journal Articles
 Mainsah, BO, Reeves, G, Collins, LM, and Throckmorton, CS. "Optimizing the stimulus presentation paradigm design for the P300based braincomputer interface using performance prediction." Journal of Neural Engineering 14, no. 4 (August 2017): 046025null. Full Text
 Reeves, G. "The fundamental limits of stable recovery in compressed sensing." IEEE International Symposium on Information Theory  Proceedings (January 1, 2014): 30173021. Full Text
 Donoho, D, and Reeves, G. "Achieving Bayes MMSE performance in the sparse signal + Gaussian white noise model when the noise level is unknown." IEEE International Symposium on Information Theory  Proceedings (December 19, 2013): 101105. Full Text
 Reeves, G, and Donoho, D. "The minimax noise sensitivity in compressed sensing." IEEE International Symposium on Information Theory  Proceedings (December 19, 2013): 116120. Full Text
 Reeves, G. "Beyond sparsity: Universally stable compressed sensing when the number of 'free' values is less than the number of observations." 2013 5th IEEE International Workshop on Computational Advances in MultiSensor Adaptive Processing, CAMSAP 2013 (December 1, 2013): 1720. Full Text
 Reeves, G, and Gastpar, MC. "Approximate Sparsity Pattern Recovery: InformationTheoretic Lower Bounds." Ieee Transactions on Information Theory 59, no. 6 (June 2013): 34513465. Full Text
 Donoho, D, and Reeves, G. "The sensitivity of compressed sensing performance to relaxation of sparsity." IEEE International Symposium on Information Theory  Proceedings (2012): 22112215. Full Text
 Reeves, G, and Gastpar, M. "The sampling ratedistortion tradeoff for sparsity pattern recovery in compressed sensing." IEEE Transactions on Information Theory 58, no. 5 (2012): 30653092. Full Text
 Reeves, G, and Gastpar, M. "Compressed sensing phase transitions: Rigorous bounds versus replica predictions." 2012 46th Annual Conference on Information Sciences and Systems, CISS 2012 (2012). Full Text
 Reeves, G, Goela, N, Milosavljevic, N, and Gastpar, M. "A compressed sensing wiretap channel." 2011 IEEE Information Theory Workshop, ITW 2011 (2011): 548552. Full Text
 Reeves, G, and Gastpar, M. "On the role of diversity in sparsity estimation." IEEE International Symposium on Information Theory  Proceedings (2011): 119123. Full Text
 Reeves, G, and Gastpar, M. ""Compressed" compressed sensing." IEEE International Symposium on Information Theory  Proceedings (2010): 15481552. Full Text
 Reeves, G, Liu, J, Nath, S, and Zhao, F. "Managing massive time series streams with multiscale compressed trickles." Proceedings of the VLDB Endowment 2, no. 1 (2009): 97108.
 Reeves, G, and Gastpar, M. "A note on optimal support recovery in compressed sensing." Conference Record  Asilomar Conference on Signals, Systems and Computers (2009): 15761580. Full Text
 Reeves, G, and Gastpar, M. "Sampling bounds for sparse support recovery in the presence of noise." IEEE International Symposium on Information Theory  Proceedings (2008): 21872191. Full Text
 Reeves, G, and Gastpar, M. "Differences between observation and sampling error in sparse signal reconstruction." IEEE Workshop on Statistical Signal Processing Proceedings (2007): 690694. Full Text

 Teaching & Mentoring

Recent Courses
 ECE 280L9: Signals and Systems  Lab 2018
 ECE 280L: Introduction to Signals and Systems 2018
 ECE 587: Information Theory 2018
 ECE 899: Special Readings in Electrical Engineering 2018
 STA 563: Information Theory 2018
 STA 993: Independent Study 2018
 ECE 494: Projects in Electrical and Computer Engineering 2017
 ECE 392: Projects in Electrical and Computer Engineering 2016
 ECE 493: Projects in Electrical and Computer Engineering 2016
 ECE 741: Compressed Sensing and Related Topics 2016
 STA 741: Compressed Sensing and Related Topics 2016
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