Guillermo Sapiro

Guillermo Sapiro
  • James B. Duke Professor of Electrical and Computer Engineering
  • Professor of Electrical and Computer Engineering
  • Professor of Mathematics (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 1993

Lucas, J. E., and G. Sapiro. “Cancer: What's luck got to do with it?.” Significance, vol. 12, no. 2, Jan. 2015, pp. 40–42. Scopus, doi:10.1111/j.1740-9713.2015.00816.x. Full Text

Yang, Jianbo, et al. “Compressive sensing by learning a Gaussian mixture model from measurements..” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society, vol. 24, no. 1, Jan. 2015, pp. 106–19. Epmc, doi:10.1109/tip.2014.2365720. Full Text

Tepper, M., and G. Sapiro. “A biclustering framework for consensus problems.” Siam Journal on Imaging Sciences, vol. 7, no. 4, Nov. 2014, pp. 2488–552. Scopus, doi:10.1137/140967325. Full Text

Duarte-Carvajalino, Julio M., et al. “Estimation of the CSA-ODF using Bayesian compressed sensing of multi-shell HARDI..” Magnetic Resonance in Medicine, vol. 72, no. 5, Nov. 2014, pp. 1471–85. Epmc, doi:10.1002/mrm.25046. Full Text

Yang, Jianbo, et al. “Video compressive sensing using Gaussian mixture models..” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society, vol. 23, no. 11, Nov. 2014, pp. 4863–78. Epmc, doi:10.1109/tip.2014.2344294. Full Text

Kim, Jinyoung, et al. “Semiautomatic segmentation of brain subcortical structures from high-field MRI..” Ieee Journal of Biomedical and Health Informatics, vol. 18, no. 5, Sept. 2014, pp. 1678–95. Epmc, doi:10.1109/JBHI.2013.2292858. Full Text

Prasad, Gautam, et al. “Automatic clustering and population analysis of white matter tracts using maximum density paths..” Neuroimage, vol. 97, Aug. 2014, pp. 284–95. Epmc, doi:10.1016/j.neuroimage.2014.04.033. Full Text

Harrison, Benjamin D., et al. “A tetraploid intermediate precedes aneuploid formation in yeasts exposed to fluconazole..” Plos Biology, vol. 12, no. 3, Mar. 2014. Epmc, doi:10.1371/journal.pbio.1001815. Full Text

Sprechmann, P., et al. “Supervised non-euclidean sparse NMF via bilevel optimization with applications to speech enhancement.” 2014 4th Joint Workshop on Hands Free Speech Communication and Microphone Arrays, Hscma 2014, Jan. 2014, pp. 11–15. Scopus, doi:10.1109/HSCMA.2014.6843241. Full Text

Carpenter, K., et al. “Questionnaire simplification for fast risk analysis of children's mental health.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing  Proceedings, Jan. 2014, pp. 6009–13. Scopus, doi:10.1109/ICASSP.2014.6854757. Full Text

Pages

Hashemi, J., et al. “A computer vision approach for the assessment of autism-related behavioral markers.” 2012 Ieee International Conference on Development and Learning and Epigenetic Robotics, Icdl 2012, 2012. Scopus, doi:10.1109/DevLrn.2012.6400865. Full Text

Fasching, J., et al. “Detecting risk-markers in children in a preschool classroom.” Ieee International Conference on Intelligent Robots and Systems, 2012, pp. 1010–16. Scopus, doi:10.1109/IROS.2012.6385732. Full Text

Abosch, Aviva, et al. “178 Utility of 7T Imaging for Deep Brain Stimulation Surgery.” Neurosurgery, vol. 71, no. 2, Oxford University Press (OUP), 2012, pp. E569–70. Crossref, doi:10.1227/01.neu.0000417768.55934.bf. Full Text

Ramírez, Ignacio, and Guillermo Sapiro. “LOw-rank data modeling via the minimum description length principle..” Icassp, IEEE, 2012, pp. 2165–68.

Yu, Guoshen, and Guillermo Sapiro. “Statistical compressive sensing of Gaussian mixture models..” Icassp, IEEE, 2011, pp. 3728–31.

Léger, Flavien, et al. “Efficient matrix completion with Gaussian models..” Icassp, IEEE, 2011, pp. 1113–16.

Sprechmann, Pablo, et al. “Collaborative sources identification in mixed signals via hierarchical sparse modeling..” Icassp, IEEE, 2011, pp. 5816–19.

Shema-Didi, Lilach, et al. “The Beneficial Effects of One Year Pomegranate Juice Consumption on Traditional and Nontraditional Risk Factors for Cardiovascular Diseases.” Free Radical Biology and Medicine, vol. 49, Elsevier BV, 2010, pp. S198–S198. Crossref, doi:10.1016/j.freeradbiomed.2010.10.572. Full Text

Sprechmann, Pablo, et al. “Collaborative hierarchical sparse modeling..” Ciss, IEEE, 2010, pp. 1–6.

Rother, Diego, and Guillermo Sapiro. “Seeing 3D objects in a single 2D image.” 2009 Ieee 12th International Conference on Computer Vision, IEEE, 2009. Crossref, doi:10.1109/iccv.2009.5459405. Full Text

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