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
- Office Location: 140 Science Dr., 305 Gross Hall, Durham, NC 27708
- Office Phone: (919) 660-5288
- Email Address: firstname.lastname@example.org
- 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 485: Digital Audio and Acoustic Signal Processing
- ECE 493: Projects in Electrical and Computer Engineering
- 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 590D: Advanced Topics in Electrical and Computer Engineering
- ECE 891: Internship
- ECE 899: Special Readings in Electrical Engineering
In the News
- Reeves, G; Pfister, HD, The replica-symmetric prediction for compressed sensing with Gaussian matrices is exact, Ieee International Symposium on Information Theory Proceedings, vol 2016-August (2016), pp. 665-669 [10.1109/ISIT.2016.7541382] [abs].
- Kudekar, S; Kumar, S; Mondelli, M; Pfister, HD; Sasoglu, E; Urbanke, RL, Reed-Muller codes achieve capacity on erasure channels., Stoc (2016), pp. 658-669 [abs].
- Kumar, S; Young, AJ; Macris, N; Pfister, HD, Threshold saturation for spatially coupled LDPC and LDGM codes on BMS channels, Ieee Transactions on Information Theory, vol 60 no. 12 (2014), pp. 7389-7415 [10.1109/TIT.2014.2360692] [abs].
- Yedla, A; Jian, YY; Nguyen, PS; Pfister, HD, A simple proof of maxwell saturation for coupled scalar recursions, Ieee Transactions on Information Theory, vol 60 no. 11 (2014), pp. 6943-6965 [10.1109/TIT.2014.2352296] [abs].
- Pfister, HD; Sason, I; Urbanke, RL, Capacity-achieving ensembles for the binary erasure channel with bounded complexity., Ieee Trans. Inf. Theory, vol 51 (2005), pp. 2352-2379 [10.1109/TIT.2005.850079] [abs].
- Pfister, HD; Soriaga, JB; Siegel, PH, On the achievable information rates of finite state ISI channels, Conference Record / Ieee Global Telecommunications Conference, vol 5 (2001), pp. 2992-2996 [abs].