- Charles S. Sydnor Distinguished Professor of Computer Science
- Professor of Computer Science
- Director of the Rhodes Information Initiative at Duke
- Professor of Electrical and Computer Engineering (Joint)
- Professor of Mathematics (Joint)
- Professor of Physics (Secondary)
Research Areas and Keywords
Algebra & Combinatorics
error-correcting codes, wireless communication, data storage, discrete harmonic analysis, sphere packing, algorithms, data compression, source classification, representation theory
detection and estimation, discrete harmonic analysis
discrete harmonic analysis, algorithms
error-correcting codes, data storage, discrete harmonic analysis, sphere packing, algorithms, representation theory
wireless communications, data storage, detection and estimation
error-correcting codes, wireless communications, data storage, detection and estimation, algorithms, data compression, source classification
Signals, Images & Data
error-correcting codes, wireless communication, data storage, discrete harmonic analysis, algorithms, data compression, source classification
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.
IUCRC Proposal Phase 1 Duke: Center for Alternative Sustainable and Intelligent Computing (ASIC) awarded by National Science Foundation (Participating Faculty Member). 2018 to 2023
CIF: Small: Improving Quantum Computing and Classical Communication using Discrete Sets of Unitary Matrices awarded by National Science Foundation (Principal Investigator). 2019 to 2022
HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms awarded by National Science Foundation (Co-Principal Investigator). 2019 to 2022
NSF - IGE: Enhancing Data Skills and Professional Readiness through Vertically-Integrated Interdisciplinary Data Science Capstone Projects awarded by National Science Foundation (Co Investigator). 2018 to 2021
CIF:Small:High Performance Memories that Integrate Coding and Computer Architecture awarded by National Science Foundation (Principal Investigator). 2017 to 2020
Modern Tools for Classification and Clustering awarded by Princeton University (Principal Investigator). 2017 to 2020
Oak Ridge National Lab GO Program awarded by Oak Ridge National Laboratory (Principal Investigator). 2014 to 2019
Optimal Online Data-Driven Optimization with Multiple Time-Varying Non-Convex Objectives awarded by Defense Advanced Research Projects Agency (Co-Principal Investigator). 2018 to 2019
Planning IUCRC Duke University: Center for Alternative Sustainable and Intelligent Computing awarded by National Science Foundation (Co-Principal Investigator). 2017 to 2018
SHF:Small:Using Coding Theory to Optimize the Representation of Information in Computer Architecture awarded by National Science Foundation (Co-Principal Investigator). 2014 to 2018
Al-Dhahir, N., et al. “Space-Time Coding and Application in WiMAX.” The Digital Signal Processing Handbook, Second Edition: The Digital Signal Processing Handbook, Second Edition: Wireless, Networking, Radar, Sensor Array Processing, and Nonlinear Signal Processing, 2009.
Al-Dhahir, N., et al. “Space-time coding and application in WiMAX.” WiMAX: Technologies, Performance Analysis, and QoS, 2007, pp. 41–67.
Beirami, A., et al. “A Characterization of Guesswork on Swiftly Tilting Curves.” Ieee Transactions on Information Theory, vol. 65, no. 5, May 2019, pp. 2850–71. Scopus, doi:10.1109/TIT.2018.2879477. Full Text
Michelusi, N., et al. “Multi-Scale Spectrum Sensing in Dense Multi-Cell Cognitive Networks.” Ieee Transactions on Communications, vol. 67, no. 4, Apr. 2019, pp. 2673–88. Scopus, doi:10.1109/TCOMM.2018.2886020. Full Text
Vahid, A., and R. Calderbank. “Throughput region of spatially correlated interference packet networks.” Ieee Transactions on Information Theory, vol. 65, no. 2, Feb. 2019, pp. 1220–35. Scopus, doi:10.1109/TIT.2018.2860041. Full Text
Zhu, W., et al. “LDMNet: Low Dimensional Manifold Regularized Neural Networks.” Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, Dec. 2018, pp. 2743–51. Scopus, doi:10.1109/CVPR.2018.00290. Full Text
Mappouras, G., et al. “Extending flash lifetime in embedded processors by expanding analog choice.” Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol. 37, no. 11, Nov. 2018, pp. 2462–73. Scopus, doi:10.1109/TCAD.2018.2857059. Full Text
Rengaswamy, N, Calderbank, R, Pfister, HD, and Kadhe, S. "Synthesis of Logical Clifford Operators via Symplectic Geometry." Ieee International Symposium on Information Theory Proceedings 2018-June (August 15, 2018): 791-795. Full Text
Qiu, Q., et al. “DCFNet: Deep Neural Network with Decomposed Convolutional Filters.” 35th International Conference on Machine Learning, Icml 2018, vol. 9, Jan. 2018, pp. 6687–96. Open Access Copy
Wang, Liming, et al. “Information-Theoretic Compressive Measurement Design..” Ieee Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 6, June 2017, pp. 1150–64. Epmc, doi:10.1109/tpami.2016.2568189. Full Text
Campbell, Kathleen, et al. “Use of a Digital Modified Checklist for Autism in Toddlers - Revised with Follow-up to Improve Quality of Screening for Autism..” J Pediatr, vol. 183, Apr. 2017, pp. 133-139.e1. Pubmed, doi:10.1016/j.jpeds.2017.01.021. Full Text
Thompson, Andrew, et al. “Dual-wavelength pump-probe microscopy analysis of melanin composition..” Scientific Reports, vol. 6, Nov. 2016. Epmc, doi:10.1038/srep36871. Full Text
Nguyen, D. M., et al. “Regularizing autoencoder-based matrix completion models via manifold learning.” European Signal Processing Conference, vol. 2018-September, 2018, pp. 1880–84. Scopus, doi:10.23919/EUSIPCO.2018.8553528. Full Text
Ahn, H. K., et al. “Classifying Pump-Probe Images of Melanocytic Lesions Using the WEYL Transform.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, vol. 2018-April, 2018, pp. 4209–13. Scopus, doi:10.1109/ICASSP.2018.8461298. Full Text
Thompson, A., and R. Calderbank. “Compressed Neighbour Discovery using Sparse Kerdock Matrices.” Ieee International Symposium on Information Theory Proceedings, vol. 2018-June, 2018, pp. 2286–90. Scopus, doi:10.1109/ISIT.2018.8437324. Full Text
Vahid, A., and R. Calderbank. “ARQ for Interference Packet Networks.” Ieee International Symposium on Information Theory Proceedings, vol. 2018-June, 2018, pp. 781–85. Scopus, doi:10.1109/ISIT.2018.8437334. Full Text
Michelusi, N., et al. “Multi-scale spectrum sensing in millimeter wave cognitive networks.” Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, Acssc 2017, vol. 2017-October, 2018, pp. 1640–44. Scopus, doi:10.1109/ACSSC.2017.8335637. Full Text
Thompson, A., and R. Calderbank. “Sparse near-equiangular tight frames with applications in full duplex wireless communication.” 2017 Ieee Global Conference on Signal and Information Processing, Globalsip 2017 Proceedings, vol. 2018-January, 2018, pp. 868–72. Scopus, doi:10.1109/GlobalSIP.2017.8309084. Full Text
Mappouras, G., et al. “Jenga: Efficient fault tolerance for stacked DRAM.” Proceedings 35th Ieee International Conference on Computer Design, Iccd 2017, 2017, pp. 361–68. Scopus, doi:10.1109/ICCD.2017.62. Full Text
Hadani, R., et al. “Orthogonal Time Frequency Space (OTFS) modulation for millimeter-wave communications systems.” Ieee Mtt S International Microwave Symposium Digest, 2017, pp. 681–83. Scopus, doi:10.1109/MWSYM.2017.8058662. Full Text
Kadhe, S., and R. Calderbank. “Rate optimal binary linear locally repairable codes with small availability.” Ieee International Symposium on Information Theory Proceedings, 2017, pp. 166–70. Scopus, doi:10.1109/ISIT.2017.8006511. Full Text
Michelusi, N., et al. “Multi-scale spectrum sensing in small-cell mm-wave cognitive wireless networks.” Ieee International Conference on Communications, 2017. Scopus, doi:10.1109/ICC.2017.7996657. Full Text
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