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

Zhan, L., et al. “Differential information content in staggered multiple shell hardi measured by the tensor distribution function.” Proceedings  International Symposium on Biomedical Imaging, Nov. 2011, pp. 305–09. Scopus, doi:10.1109/ISBI.2011.5872411. Full Text

Jahanshad, N., et al. “Sex differences in the human connectome: 4-Tesla high angular resolution diffusion imaging (HARDI) tractography in 234 young adult twins.” Proceedings  International Symposium on Biomedical Imaging, Nov. 2011, pp. 939–43. Scopus, doi:10.1109/ISBI.2011.5872558. Full Text

Caruyer, E., et al. “Online motion detection in high angular resolution diffusion imaging.” Proceedings  International Symposium on Biomedical Imaging, Nov. 2011, pp. 516–19. Scopus, doi:10.1109/ISBI.2011.5872458. Full Text

Jin, Y., et al. “3D elastic registration improves HARDI-derived fiber alignment and automated tract clustering.” Proceedings  International Symposium on Biomedical Imaging, Nov. 2011, pp. 822–26. Scopus, doi:10.1109/ISBI.2011.5872531. Full Text

Sapiro, Guillermo. “Comparing shapes, understanding evolution.Proceedings of the National Academy of Sciences of the United States of America, vol. 108, no. 45, Nov. 2011, pp. 18189–90. Epmc, doi:10.1073/pnas.1114928108. Full Text

Castrodad, A., et al. “Learning discriminative sparse representations for modeling, source separation, and mapping of hyperspectral imagery.” Ieee Transactions on Geoscience and Remote Sensing, vol. 49, no. 11 PART 1, Nov. 2011, pp. 4263–81. Scopus, doi:10.1109/TGRS.2011.2163822. Full Text

Li, L., et al. “On the integration of topic modeling and dictionary learning.” Proceedings of the 28th International Conference on Machine Learning, Icml 2011, Oct. 2011, pp. 625–32.

Chen, B., et al. “The hierarchical beta process for convolutional factor analysis and deep learning.” Proceedings of the 28th International Conference on Machine Learning, Icml 2011, Oct. 2011, pp. 361–68.

Sprechmann, P., et al. “C-HiLasso: A collaborative hierarchical sparse modeling framework.” Ieee Transactions on Signal Processing, vol. 59, no. 9, Sept. 2011, pp. 4183–98. Scopus, doi:10.1109/TSP.2011.2157912. Full Text

Yatziv, Liron, et al. “Esophagus silhouette extraction and reconstruction from fluoroscopic views for cardiac ablation procedure guidance.Ieee Transactions on Information Technology in Biomedicine : A Publication of the Ieee Engineering in Medicine and Biology Society, vol. 15, no. 5, Sept. 2011, pp. 703–08. Epmc, doi:10.1109/titb.2011.2162247. Full Text

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