Guillermo Sapiro

Guillermo Sapiro
  • James B. Duke Professor of Electrical and Computer Engineering
  • Professor of Electrical and Computer Engineering
  • Professor of Computer Science (Secondary)
  • Professor of Mathematics (Secondary)
  • Faculty Network Member of the Duke Institute for Brain Sciences
Internal office address: 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

Sprechmann, P, Litman, R, Ben Yakar, T, Bronstein, A, and Sapiro, G. "Efficient supervised sparse analysis and synthesis operators." Advances in Neural Information Processing Systems (January 1, 2013).

Duarte-Carvajalino, JM, Yu, G, Carin, L, and Sapiro, G. "Task-Driven Adaptive Statistical Compressive Sensing of Gaussian Mixture Models." IEEE Trans. Signal Processing 61 (2013): 585-600.

Caruyer, E, Aganj, I, Lenglet, C, Sapiro, G, and Deriche, R. "Motion Detection in Diffusion MRI via Online ODF Estimation." International Journal of Biomedical Imaging 2013 (January 2013): 849363-null. Full Text

Duarte-Carvajalino, JM, Sapiro, G, Harel, N, and Lenglet, C. "A Framework for Linear and Non-Linear Registration of Diffusion-Weighted MRIs Using Angular Interpolation." Frontiers in Neuroscience 7 (January 2013): 41-null. Full Text

Kuybeda, O, Frank, GA, Bartesaghi, A, Borgnia, M, Subramaniam, S, and Sapiro, G. "A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography." Journal of Structural Biology 181.2 (2013): 116-127. Full Text

Su, S, White, T, Schmidt, M, Kao, C-Y, and Sapiro, G. "Geometric computation of human gyrification indexes from magnetic resonance images." Human Brain Mapping 34.5 (2013): 1230-1244. Full Text

Sotiropoulos, SN, Jbabdi, S, Xu, J, Andersson, JL, Moeller, S, Auerbach, EJ, Glasser, MF, Hernandez, M, Sapiro, G, Jenkinson, M, Feinberg, DA, Yacoub, E, Lenglet, C, Essen, DCV, Ugurbil, K, and Behrens, TEJ. "Advances in diffusion MRI acquisition and processing in the Human Connectome Project." NeuroImage 80 (2013): 125-143. Full Text

Bartesaghi, A, Lecumberry, F, Sapiro, G, and Subramaniam, S. "Protein secondary structure determination by constrained single-particle cryo-electron tomography." Structure (London, England : 1993) 20.12 (December 2012): 2003-2013. Full Text

Elhamifar, E, Sapiro, G, and Vidal, R. "Finding exemplars from pairwise dissimilarities via simultaneous sparse recovery." Advances in Neural Information Processing Systems 1 (December 1, 2012): 19-27.

"Learning efficient structured sparse models." Proceedings of the 29th International Conference on Machine Learning, Icml 2012 1 (October 10, 2012): 615-622.