Robert Calderbank
CS Department Image
Charles S. Sydnor Professor of Computer Science, Professor of Mathematics and Electrical and Computer Engineering, Director of the Information Futures Initiative
Faculty Group: Algorithms
Email robert.calderbank at duke.edu
Office 317 Gross Hall
Phone (919) 613-7874

Education

PhD, California Institute of Technology, 1980
MSc, Oxford University, England, 1976
BSc, Warwick University, England, 1975

Honors & Awards

Honorary Doctorate, Warwick University (2013)
Distinguished Chair, Duke University (2010)
IEEE Hamming Medal, 2013
2013 IEEE Signal Processing Society Young Author Best Paper Award
Google Student Paper Award, ICASSP 2013
IEEE Donald G. Fink Prize Paper Award, 2006
IEEE Millennium Medal 2000
IEEE Information Theory Prize Paper Award (1995, 1999)
AMS Fellow (2013)
IEEE Fellow (1995)
Graduate Mentoring Award, Princeton University, 2008
National Academy of Engineering, 2005
AT&T Fellow, 2000

Research

Signal processing, analysis of high dimensional data, machine learning, information theory and coding, wireless communication, quantum information theory, application of mathematics to science and engineering

Selected Publications

  • L. Wang, D.E. Carlson, M.R.D. Rodrigues, D. Wilcox, R. Calderbank and L. Carin, Designed measurements for vector count data, Advances in Neural Information Processing Systems 26 (NIPS), Lake Tahoe, Nevada, December 2013
  • Y. Chi, Y.C. Eldar, and R. Calderbank, PETRELS: Parallel Subspace Estimation and Tracking by Recursive Least Squares from Partial Observations, IEEE Transactions on Signal Processing, Vol. 61 (23), pp. 5947-5959, December 2013
  • M. Nokleby, R. Calderbank and M.R.D. Rodrigues, Information-theoretic limits on the classification of Gaussian mixtures: Classification on the Grassmann manifold, Proceedings of the IEEE Information Theory Workshop (ITW 2013), Seville, Spain, September 2013
  • W.R. Carson, M. Chen, M.R.D. Rodrigues, R. Calderbank and L. Carin, Communications-inspired projection design with application to compressive sensing, SIAM Journal on Imaging Science, Vol. 5 (4), pp. 1185-1212, October 2012
  • M. Chen, W.R. Carson, M.R.D. Rodrigues, R. Calderbank and L. Carin, Communications inspired linear discriminant analysis, Proceedings of the International Conference on Machine Learning (ICML 2012), Edinburgh, Scotland, June 2012