Guillermo Sapiro

Guillermo Sapiro
  • James B. Duke Distinguished Professor of Electrical and Computer Engineering
  • Professor of Electrical and Computer Engineering
  • Professor of Mathematics (Secondary)
  • Professor of Computer Science (Secondary)
  • Faculty Network Member of the Duke Institute for Brain Sciences
Internal office address: Campus Box 90984, 140 Science Drive - 325 Gross Hall, Durham, NC 27708
Office Hours: 

By appointment. Contact via e-mail.

Guillermo Sapiro received his B.Sc. (summa cum laude), M.Sc., and Ph.D. from the Department of Electrical Engineering at the Technion, Israel Institute of Technology, in 1989, 1991, and 1993 respectively. After post-doctoral research at MIT, Dr. Sapiro became Member of Technical Staff at the research facilities of HP Labs in Palo Alto, California. He was with the Department of Electrical and Computer Engineering at the University of Minnesota, where he held the position of Distinguished McKnight University Professor and Vincentine Hermes-Luh Chair in Electrical and Computer Engineering. Currently he is the Edmund T. Pratt, Jr. School Professor with Duke University.

G. Sapiro works on theory and applications in computer vision, computer graphics, medical imaging, image analysis, and machine learning. He has authored and co-authored over 300 papers in these areas and has written a book published by Cambridge University Press, January 2001.

G. Sapiro was awarded the Gutwirth Scholarship for Special Excellence in Graduate Studies in 1991,  the Ollendorff Fellowship for Excellence in Vision and Image Understanding Work in 1992,  the Rothschild Fellowship for Post-Doctoral Studies in 1993, the Office of Naval Research Young Investigator Award in 1998,  the Presidential Early Career Awards for Scientist and Engineers (PECASE) in 1998, the National Science Foundation Career Award in 1999, and the National Security Science and Engineering Faculty Fellowship in 2010. He received the test of time award at ICCV 2011. He was elected to the American Academy of Arts and Sciences on 2018.

G. Sapiro is a Fellow of IEEE and SIAM.

G. Sapiro was the founding Editor-in-Chief of the SIAM Journal on Imaging Sciences.

Education & Training
  • D.Sc., Israel Institute of Technology (Israel) 1993

Prasad, Gautam, et al. “ATLAS-BASED FIBER CLUSTERING FOR MULTI-SUBJECT ANALYSIS OF HIGH ANGULAR RESOLUTION DIFFUSION IMAGING TRACTOGRAPHY.Proceedings. Ieee International Symposium on Biomedical Imaging, vol. 2011, Apr. 2011, pp. 276–80. Epmc, doi:10.1109/isbi.2011.5872405. Full Text

Sapiro, Gisele. “WHAT IS A FRENCH PHILOSOPHER? The social life of concepts (1880-1980).” Quinzaine Litteraire, no. 1034, Mar. 2011, pp. 21–21.

Carin, Lawrence, et al. “Learning Low-Dimensional Signal Models: A Bayesian approach based on incomplete measurements.Ieee Signal Processing Magazine, vol. 28, no. 2, Mar. 2011. Epmc, doi:10.1109/msp.2010.939733. Full Text

Sapiro, Gisela. “Merchants of Culture. The Publishing Business in the Twenty-First Century.” Actes De La Recherche En Sciences Sociales, no. 186–87, Mar. 2011, pp. 132–35.

Ma, Y., et al. “Dimensionality reduction via subspace and submanifold learning.” Ieee Signal Processing Magazine, vol. 28, no. 2, Jan. 2011. Scopus, doi:10.1109/MSP.2010.940005. Full Text

Duarte-Carvajalino, Julio Martin, et al. “Online Adaptive Statistical Compressed Sensing of Gaussian Mixture Models.” Corr, vol. abs/1112.5895, 2011.

Silva, Jorge G., et al. “Blind Compressed Sensing Over a Structured Union of Subspaces.” Corr, vol. abs/1103.2469, 2011.

Yu, Guoshen, and Guillermo Sapiro. “Statistical Compressed Sensing of Gaussian Mixture Models.Ieee Trans. Signal Process., vol. 59, 2011, pp. 5842–58.

Castrodad, A., et al. “Discriminative sparse representations in hyperspectral imagery.” Proceedings  International Conference on Image Processing, Icip, Dec. 2010, pp. 1313–16. Scopus, doi:10.1109/ICIP.2010.5651568. Full Text

Paisley, J., et al. “Nonparametric image interpolation and dictionary learning using spatially-dependent dirichlet and beta process priors.” Proceedings  International Conference on Image Processing, Icip, Dec. 2010, pp. 1869–72. Scopus, doi:10.1109/ICIP.2010.5653350. Full Text