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Henry Pfister, Associate Professor of Electrical and Computer Engineering and Mathematics

Henry Pfister

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.

Contact Info:
Office Location:  140 Science Dr., 305 Gross Hall, Durham, NC 27708
Office Phone:  (919) 660-5288
Email Address: send me a message

Teaching (Fall 2017):

  • ECE 590.05, ADVANCED TOPICS IN ECE Synopsis
    Hudson 207, MW 01:25 PM-02:40 PM
  • ECE 590.09, ADVANCED TOPICS IN ECE Synopsis
    Gross Hall 324, WF 10:05 AM-11:20 AM
    (also cross-listed as MATH 590-02.01)
Teaching (Spring 2018):

  • ECE 485.01, DIGITAL AUDIO PROCESSING Synopsis
    Hudson 232, MW 01:25 PM-02:40 PM
Education:

Ph.D.University of California at San Diego2003
Keywords:

Error-correcting codes (Information theory) • Information Theory • Signal processing • Wireless communication systems

Recent Publications   (More Publications)

  1. Charbonneau, P; Li, YC; Pfister, HD; Yaida, S, Cycle-expansion method for the Lyapunov exponent, susceptibility, and higher moments, Physical review. E, vol. 96 no. 3 (September, 2017) [doi]
  2. Kudekar, S; Kumar, S; Mondelli, M; Pfister, HD; Sasoglu, E; Urbanke, RL, Reed–Muller Codes Achieve Capacity on Erasure Channels, IEEE Transactions on Information Theory, vol. 63 no. 7 (July, 2017), pp. 4298-4316 [doi]
  3. Hager, C; Pfister, HD; Graell i Amat, A; Brannstrom, F, Density Evolution for Deterministic Generalized Product Codes on the Binary Erasure Channel at High Rates, IEEE Transactions on Information Theory (July, 2017) [doi]
  4. Sabag, O; Permuter, HH; Pfister, HD, A Single-Letter Upper Bound on the Feedback Capacity of Unifilar Finite-State Channels, IEEE Transactions on Information Theory, vol. 63 no. 3 (March, 2017), pp. 1392-1409 [doi]  [abs]
  5. Sabag, O; Permuter, HH; Pfister, HD, Single-letter bounds on the feedback capacity of unifilar finite-state channels, 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016 (January, 2017), ISBN 9781509021529 [doi]  [abs]
Recent Grant Support

  • CIF: Small: Capacity via Symmetry, National Science Foundation, 1718494, 2017/08-2020/07.      
  • CIF: Small: Capacity via Symmetry, National Science Foundation, 1718494, 2017/08-2020/07.      
  • Collaborative Research: Advanced Coding Techniques for Next-Generation Optical Communications, National Science Foundation, ECCS-1609327, 2016/09-2019/08.      
  • Collaborative Research: Advanced Coding Techniques for Next-Generation Optical Communications, National Science Foundation, ECCS-1609327, 2016/09-2019/08.      
  • CIF:Small: Design and Analysis of Spatially-Coupled Coding Systems, Texas A&M University, C2251, 2015/06-2017/07.      
  • CIF: Small: Collaborative Research: Design and Analysis of Novel Compressed Sensing Algorithms via Connections with Coding Theory, National Science Foundation, 1545143, 2014/09-2016/08.      
  • Request for Support for U.S. Participants of the 2015 Workshop on Sensing and Analysis of High-Demensional Data, National Science Foundation, 1543790, 2015/06-2016/02.      

 

dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821

Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320