Henry Pfister

Henry Pfister
  • Associate Professor in the Department of Electrical and Computer Engineering
  • Associate Professor of Mathematics (Secondary)
External address: 140 Science Dr., 305 Gross Hall, Durham, NC 27708
Internal office address: 90984, 315 Gross Hall, Durham, NC 27708
Phone: (919) 660-5288

Henry D. Pfister received his Ph.D. in electrical engineering in 2003 from the University of California, San Diego and is currently an associate professor in the Electrical and Computer Engineering Department of Duke University with a secondary appointment in Mathematics.  Prior to that, he was a professor at Texas A&M University (2006-2014), a post-doctoral fellow at the École Polytechnique Fédérale de Lausanne (2005-2006), and a senior engineer at Qualcomm Corporate R&D in San Diego (2003-2004).

He received the NSF Career Award in 2008 and a Texas A&M ECE Department Outstanding Professor Award in 2010.  He is a coauthor of the 2007 IEEE COMSOC best paper in Signal Processing and Coding for Data Storage and a coauthor of a 2016 Symposium on the Theory of Computing (STOC) best paper.  He served as an Associate Editor for the IEEE Transactions on Information Theory (2013-2016) and a Distinguished Lecturer of the IEEE Information Theory Society (2015-2016).

His current research interests include information theory, communications, probabilistic graphical models, machine learning, and deep neural networks.

Education & Training
  • Ph.D., University of California at San Diego 2003

Selected Grants

CIF: Small: Capacity via Symmetry awarded by National Science Foundation (Principal Investigator). 2017 to 2020

Collaborative Research: Advanced Coding Techniques for Next-Generation Optical Communications awarded by National Science Foundation (Principal Investigator). 2016 to 2019

CIF:Small: Design and Analysis of Spatially-Coupled Coding Systems awarded by Texas A&M University (Principal Investigator). 2015 to 2017

Request for Support for U.S. Participants of the 2015 Workshop on Sensing and Analysis of High-Demensional Data awarded by National Science Foundation (Principal Investigator). 2015 to 2016

Reeves, G, and Pfister, HD. "The Replica-Symmetric Prediction for Random Linear Estimation With Gaussian Matrices Is Exact." Ieee Transactions on Information Theory 65.4 (April 1, 2019): 2252-2283. Full Text

Yoo, I, Imani, MF, Sleasman, T, Pfister, HD, and Smith, DR. "Enhancing Capacity of Spatial Multiplexing Systems Using Reconfigurable Cavity-Backed Metasurface Antennas in Clustered MIMO Channels." Ieee Transactions on Communications 67.2 (February 1, 2019): 1070-1084. Full Text

Schmidt, C, Pfister, HD, and Zdeborová, L. "Minimal sets to destroy the k-core in random networks." Physical Review. E 99.2-1 (February 2019): 022310-null. Full Text

Sheikh, A, GraellAmat, A, Liva, G, Häger, C, and Pfister, HD. "On Low-Complexity Decoding of Product Codes for High-Throughput Fiber-Optic Systems." International Symposium on Turbo Codes and Iterative Information Processing, Istc 2018-December (January 23, 2019). Full Text

Lian, M, Häger, C, and Pfister, HD. "What can machine learning teach us about communications?." 2018 Ieee Information Theory Workshop, Itw 2018 (January 15, 2019). Full Text

Fougstedt, C, Häger, C, Svensson, L, Pfister, HD, and Larsson-Edefors, P. "ASIC Implementation of Time-Domain Digital Backpropagation with Deep-Learned Chromatic Dispersion Filters." European Conference on Optical Communication, Ecoc 2018-September (November 14, 2018). Full Text

Häger, C, and Pfister, HD. "Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning." European Conference on Optical Communication, Ecoc 2018-September (November 14, 2018). Full Text

Rengaswamy, N, Calderbank, R, Pfister, HD, and Kadhe, S. "Synthesis of Logical Clifford Operators via Symplectic Geometry." Ieee International Symposium on Information Theory Proceedings 2018-June (August 15, 2018): 791-795. Full Text

Hager, C, and Pfister, HD. "Deep Learning of the Nonlinear Schrödinger Equation in Fiber-Optic Communications." Ieee International Symposium on Information Theory Proceedings 2018-June (August 15, 2018): 1590-1594. Full Text

Santi, E, Hager, C, and Pfister, HD. "Decoding Reed-Muller Codes Using Minimum- Weight Parity Checks." Ieee International Symposium on Information Theory Proceedings 2018-June (August 15, 2018): 1296-1300. Full Text

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