Professor in the Department of Electrical and Computer Engineering
Henry D. Pfister received his Ph.D. in Electrical Engineering in 2003 from the University of California, San Diego and is currently a professor in the Electrical and Computer Engineering Department of Duke University with a secondary appointment in Mathematics. Prior to that, he was an associate 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). His current research interests include information theory, error-correcting codes, quantum computing, and machine learning.
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 has served the IEEE Information Theory Society as a member of the Board of Governors (2019-2022), an Associate Editor for the IEEE Transactions on Information Theory (2013-2016), and a Distinguished Lecturer (2015-2016). He was also the General Chair of the 2016 North American School of Information Theory.
Appointments and Affiliations
- Professor in the Department of Electrical and Computer Engineering
- Professor of Mathematics
- Office Location: 140 Science Dr., 305 Gross Hall, Durham, NC 27708
- Office Phone: (919) 660-5288
- Email Address: email@example.com
- Ph.D. University of California - San Diego, 2003
Information theory, communications, probabilistic graphical models, machine learning, and deep neural networks
Awards, Honors, and Distinctions
- Best Paper Award. Symposium on the Theory of Computation (STOC). 2016
- 2015-2016 Distinguished Lecturer. IEEE Information Theory Society. 2015
- NSF CAREER Award. National Science Foundation. 2008
- 2007 Best Paper in Signal Processing and Coding for Data Storage. IEEE Communications Society . 2007
- ECE 392: Projects in Electrical and Computer Engineering
- ECE 487: System Design for Machine Learning and Signal Processing
- ECE 494: Projects in Electrical and Computer Engineering
- ECE 496: Special Topics in Electrical and Computer Engineering
- ECE 586: Vector Space Methods with Applications
- ECE 586D: Vector Space Methods with Applications
- ECE 590: Advanced Topics in Electrical and Computer Engineering
- ECE 899: Special Readings in Electrical Engineering
- EGR 393: Research Projects in Engineering
- MATH 590-02: Advanced Special Topics in Mathematics
In the News
- Reeves, Galen, and Henry D. Pfister. “Reed-Muller Codes on BMS Channels Achieve Vanishing Bit-Error Probability for All Rates Below Capacity,” 2021.
- Reeves, G., and H. D. Pfister. “The replica-symmetric prediction for compressed sensing with Gaussian matrices is exact.” In Ieee International Symposium on Information Theory Proceedings, 2016-August:665–69, 2016. https://doi.org/10.1109/ISIT.2016.7541382.
- Kumar, S., A. J. Young, N. Macris, and H. D. Pfister. “Threshold saturation for spatially coupled LDPC and LDGM codes on BMS channels.” Ieee Transactions on Information Theory 60, no. 12 (December 1, 2014): 7389–7415. https://doi.org/10.1109/TIT.2014.2360692.
- Yedla, A., Y. Y. Jian, P. S. Nguyen, and H. D. Pfister. “A simple proof of maxwell saturation for coupled scalar recursions.” Ieee Transactions on Information Theory 60, no. 11 (January 1, 2014): 6943–65. https://doi.org/10.1109/TIT.2014.2352296.
- Pfister, H. D., J. B. Soriaga, and P. H. Siegel. “On the achievable information rates of finite state ISI channels.” In Conference Record / Ieee Global Telecommunications Conference, 5:2992–96, 2001.