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

Sapiro, Gisèle. “Globalization and cultural diversity in the book market: The case of literary translations in the US and in France.” Poetics, vol. 38, no. 4, Elsevier BV, Aug. 2010, pp. 419–39. Crossref, doi:10.1016/j.poetic.2010.05.001. Full Text

Sprechmann, P., et al. “Collaborative hierarchical sparse modeling.” 2010 44th Annual Conference on Information Sciences and Systems, Ciss 2010, June 2010. Scopus, doi:10.1109/CISS.2010.5464845. Full Text

Lecumberry, Federico, et al. “Simultaneous object classification and segmentation with high-order multiple shape models.Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society, vol. 19, no. 3, Mar. 2010, pp. 625–35. Epmc, doi:10.1109/tip.2009.2038759. Full Text

Mairal, J., et al. “Online learning for matrix factorization and sparse coding.” Journal of Machine Learning Research, vol. 11, Feb. 2010, pp. 19–60.

Sapiro, Gisele, and Yoram Kaniuk. “THE LAST JEW.” Quinzaine Litteraire, no. 1008, Feb. 2010, pp. 12–13.

White, Tonya, et al. “The development of gyrification in childhood and adolescence.Brain and Cognition, vol. 72, no. 1, Feb. 2010, pp. 36–45. Epmc, doi:10.1016/j.bandc.2009.10.009. Full Text

Sapiro, Gisele. “Punish the violence of words: the French intellectual process at the end of World War II.” Esprit Createur, vol. 50, no. 4, 2010, pp. 4–19.

Wright, J., et al. “Sparse representation for computer vision and pattern recognition.” Proceedings of the Ieee, vol. 98, no. 6, Jan. 2010, pp. 1031–44. Scopus, doi:10.1109/JPROC.2010.2044470. Full Text

Passalacqua, P., et al. “A geometric framework for channel network extraction from lidar: Nonlinear diffusion and geodesic paths.” Journal of Geophysical Research: Earth Surface, vol. 115, no. 1, Jan. 2010.

Bai, X., et al. “Dynamic color flow: A motion-adaptive color model for object segmentation in video.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6315 LNCS, no. PART 5, Jan. 2010, pp. 617–30. Scopus, doi:10.1007/978-3-642-15555-0_45. Full Text