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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 (Spring 2019):

  • ECE 485.01, DIGITAL AUDIO PROCESSING Synopsis
    Teer 106, 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. Hager, C; Pfister, HD, Approaching Miscorrection-Free Performance of Product Codes With Anchor Decoding, Ieee Transactions on Communications, vol. 66 no. 7 (July, 2018), pp. 2797-2808, Institute of Electrical and Electronics Engineers (IEEE) [doi]
  2. Hager, C; Pfister, HD, Nonlinear interference mitigation via deep neural networks, 2018 Optical Fiber Communications Conference and Exposition, Ofc 2018 Proceedings (June, 2018), pp. 1-3, ISBN 9781943580385  [abs]
  3. Rengaswamy, N; Calderbank, R; Pfister, HD; Kadhe, S, Synthesis of Logical Clifford Operators via Symplectic Geometry, 2018 Ieee International Symposium on Information Theory (Isit), vol. 2018-June (June, 2018), pp. 791-795, IEEE [doi]  [abs]
  4. Hager, C; Pfister, HD, Deep Learning of the Nonlinear Schrödinger Equation in Fiber-Optic Communications, 2018 Ieee International Symposium on Information Theory (Isit), vol. 2018-June (June, 2018), pp. 1590-1594, IEEE [doi]  [abs]
  5. Santi, E; Hager, C; Pfister, HD, Decoding Reed-Muller Codes Using Minimum- Weight Parity Checks, 2018 Ieee International Symposium on Information Theory (Isit), vol. 2018-June (June, 2018), pp. 1296-1300, IEEE [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