Charles S. Sydnor Professor of Computer Science
Robert Calderbank is Director of the Information Initiative at Duke University, where he is Professor of Electrical Engineering, Computer Science and Mathematics. He joined Duke in 2010, completed a 3 year term as Dean of Natural Sciences in August 2013, and also served as Interim Director of the Duke Initiative in Innovation and Entrepreneurship in 2012. Before joining Duke he was Professor of Electrical Engineering and Mathematics at Princeton University where he also directed the Program in Applied and Computational Mathematics.
Before joining Princeton University Dr. Calderbank was Vice President for Research at AT&T. As Vice President for Research he managed AT&T intellectual property, and he was responsible for licensing revenue. AT&T Labs was the first of a new type of research lab where masses of data generated by network services became a giant sandbox in which fundamental discoveries in information science became a source of commercial advantage
At Duke, Dr. Calderbank works with researchers from the Duke Center for Autism and Brain Development, developing information technology that is able to capture a full spectrum of behavior in very young children. By supporting more consistent and cost-effective early diagnosis, the team is increasing the opportunity for early interventions that have proven very effective.
At the start of his career at Bell Labs, Dr. Calderbank developed voiceband modem technology that was widely licensed and incorporated in over a billion devices. Voiceband means the signals are audible so these modems burped and squeaked as they connected to the internet. One of these products was the AT&T COMSPHERE® modem which was the fastest modem in the world in 1994 – at 33.6kb/s!
Together with Peter Shor and colleagues at AT&T Labs Dr. Calderbank developed the group theoretic framework for quantum error correction. This framework changed the way physicists view quantum entanglement, and provided the foundation for fault tolerant quantum computation.
Dr. Calderbank has also developed technology that improves the speed and reliability of wireless communication by correlating signals across several transmit antennas. Invented in 1996, this space-time coding technology has been incorporated in a broad range of 3G, 4G and 5G wireless standards. He served on the Technical Advisory Board of Flarion Technologies a wireless infrastructure company founded by Rajiv Laroia and acquired by Qualcomm for $1B in 2008.
Dr. Calderbank is an IEEE Fellow and an AT&T Fellow, and he was elected to the National Academy of Engineering in 2005. He received the 2013 IEEE Hamming Medal for contributions to coding theory and communications and the 2015 Shannon Award.
Appointments and Affiliations
- Charles S. Sydnor Professor of Computer Science
- Professor of Computer Science
- Professor of Electrical and Computer Engineering
- Professor of Mathematics
- Office Location: 140 Science Drive, 317 Gross Hall, Durham, NC 27708
- Office Phone: (919) 613-7874
- Email Address: email@example.com
- Ph.D. California Institute of Technology, 1980
- M.S. Oxford University (U.K.), 1976
- B.S. University of Warwick (England), 1975
Error control codes for quantum computing, wireless communication and the internet of things, coding theory for computer architecture, signal processing, machine learning
Awards, Honors, and Distinctions
- NAI Fellow. National Academy of Inventors. 2014
- Fellow. American Mathematical Society. 2013
- Richard W. Hamming Medal. Institute for Electrical and Electronics Engineers. 2013
- AAAS Fellows. American Association for the Advancement of Science, The. 2012
- Membership. National Academy of Engineering. 2005
- Highly Cited Researcher. Thomson Reuters. 2001
- Fellows. Institute for Electrical and Electronics Engineers. 1998
- COMPSCI 391: Independent Study
- COMPSCI 394: Research Independent Study
- ECE 483: Introduction to Digital Communication Systems
- ECE 590: Advanced Topics in Electrical and Computer Engineering
- MATH 393: Research Independent Study
- MATH 394: Research Independent Study
- MATH 493: Research Independent Study
- MATH 494: Research Independent Study
- MATH 501: Introduction to Algebraic Structures I
- MATH 590-02: Advanced Special Topics in Mathematics
- MATH 790-90: Minicourse in Advanced Topics
In the News
- How to Judge an AI Art Competition (Mar 26, 2019 | Pratt School of Engineering)
- Information Initiative at Duke Named to Honor Michael and Maureen Rhodes (Dec 6, 2018 | Pratt School of Engineering)
- Calderbank Reappointed to New Term as Information Initiative Director (Oct 10, 2018)
- A MindAnd an EarFor Big Data (Feb 27, 2017 | Pratt School of Engineering)
- Duke Receives $9.75 Million for ‘Big Data’ Initiative (Apr 27, 2015)
- DIW Office Connects Duke Experts to Washington (Mar 6, 2015)
- Calderbank, Chilkoti Named Fellows of the National Academy of Inventors (Dec 16, 2014)
- Putting Big Data to Work in Autism Diagnosis (Nov 25, 2014)
- Math Junior Flips for Bit Flips (Aug 11, 2014 | Duke Research Blog)
- A Toast for Robert Calderbank (Jul 10, 2014)
- Calderbank Receives Shannon Award (Jul 7, 2014)
- Duke Faculty Head to DC to Talk to Policymakers About Math and Art (Jun 18, 2014)
- Van Gogh and the algorithm: How math can save art (Jun 17, 2014 | TIME)
- Calderbank Awarded IEEE Medal (Jun 20, 2013)
- Beirami, A; Calderbank, R; Christiansen, MM; Duffy, KR; Medard, M, A Characterization of Guesswork on Swiftly Tilting Curves, Ieee Transactions on Information Theory, vol 65 no. 5 (2019), pp. 2850-2871 [10.1109/TIT.2018.2879477] [abs].
- Michelusi, N; Nokleby, M; Mitra, U; Calderbank, R, Multi-Scale Spectrum Sensing in Dense Multi-Cell Cognitive Networks, Ieee Transactions on Communications, vol 67 no. 4 (2019), pp. 2673-2688 [10.1109/TCOMM.2018.2886020] [abs].
- Vahid, A; Calderbank, R, Throughput region of spatially correlated interference packet networks, Ieee Transactions on Information Theory, vol 65 no. 2 (2019), pp. 1220-1235 [10.1109/TIT.2018.2860041] [abs].
- Zhu, W; Qiu, Q; Huang, J; Calderbank, R; Sapiro, G; Daubechies, I, LDMNet: Low Dimensional Manifold Regularized Neural Networks, Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition (2018), pp. 2743-2751 [10.1109/CVPR.2018.00290] [abs].
- Nguyen, DM; Tsiligianni, E; Calderbank, R; Deligiannis, N, Regularizing autoencoder-based matrix completion models via manifold learning, European Signal Processing Conference, vol 2018-September (2018), pp. 1880-1884 [10.23919/EUSIPCO.2018.8553528] [abs].