- Charles S. Sydnor Professor of Computer Science
- Professor of Computer Science
- Director of the Information Initiative at Duke
- Professor of Mathematics (Joint)
- Professor of Electrical and Computer Engineering (Joint)
- Professor of Physics (Secondary)
Research Areas and Keywords
Algebra & Combinatorics
Signals, Images & Data
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
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
Wide-Area Persistent Energy-Efficient Maritime Sensing awarded by Office of Naval Research (Principal Investigator). 2013 to 2016
Discovery of Empirical Components by Information Theory, Random Matrix Theory, and Computational Topology awarded by Princeton University (Co-Principal Investigator). 2013 to 2016
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.
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
Vahid, A., and R. Calderbank. “Two-user erasure interference channels with local delayed CSIT.” Ieee Transactions on Information Theory, vol. 62, no. 9, Sept. 2016, pp. 4910–23. Scopus, doi:10.1109/TIT.2016.2594224. Full Text
Sokolić, J., et al. “Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification.” Ieee Transactions on Signal Processing, vol. 64, no. 12, June 2016, pp. 3035–50. Scopus, doi:10.1109/TSP.2016.2537272. Full Text
Huang, J., et al. “The Role of Principal Angles in Subspace Classification.” Ieee Transactions on Signal Processing, vol. 64, no. 8, Apr. 2016, pp. 1933–45. Scopus, doi:10.1109/TSP.2015.2500889. Full Text
Carpenter, Kimberly L. H., et al. “Quantifying Risk for Anxiety Disorders in Preschool Children: A Machine Learning Approach..” Plos One, vol. 11, no. 11, 2016. Pubmed, doi:10.1371/journal.pone.0165524. Full Text
Hashemi, J., et al. “A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study.” Mobihealth 2015 5th Eai International Conference on Wireless Mobile Communication and Healthcare Transforming Healthcare Through Innovations in Mobile and Wireless Technologies, Dec. 2015. Scopus, doi:10.4108/eai.14-10-2015.2261939. Full Text
Wang, L., et al. “Signal recovery and system calibration from multiple compressive poisson measurements.” Siam Journal on Imaging Sciences, vol. 8, no. 3, Sept. 2015, pp. 1923–54. Scopus, doi:10.1137/140998779. 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
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
Cnaan-On, I., et al. “Run-length limited codes for backscatter communication.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, 2017, pp. 6110–14. Scopus, doi:10.1109/ICASSP.2017.7953330. Full Text
Reboredo, H., et al. “Bounds on the Number of Measurements for Reliable Compressive Classification.” Ieee Transactions on Signal Processing, vol. 64, no. 22, 2016, pp. 5778–93. Scopus, doi:10.1109/TSP.2016.2599496. Full Text
Renna, F., et al. “Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Features in the Presence of Side Information.” Ieee Transactions on Information Theory, vol. 62, no. 11, 2016, pp. 6459–92. Scopus, doi:10.1109/TIT.2016.2606646. Full Text
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