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

Kim, J, Lenglet, C, Duchin, Y, Sapiro, G, and Harel, N. "Semiautomatic segmentation of brain subcortical structures from high-field MRI." Ieee Journal of Biomedical and Health Informatics 18.5 (September 2014): 1678-1695. Full Text

Prasad, G, Joshi, SH, Jahanshad, N, Villalon-Reina, J, Aganj, I, Lenglet, C, Sapiro, G, McMahon, KL, de Zubicaray, GI, Martin, NG, Wright, MJ, Toga, AW, and Thompson, PM. "Automatic clustering and population analysis of white matter tracts using maximum density paths." NeuroImage 97 (August 2014): 284-295. Full Text

Harrison, BD, Hashemi, J, Bibi, M, Pulver, R, Bavli, D, Nahmias, Y, Wellington, M, Sapiro, G, and Berman, J. "A tetraploid intermediate precedes aneuploid formation in yeasts exposed to fluconazole." Plos Biology 12.3 (March 18, 2014): e1001815-null. Full Text

Carpenter, K, Sprechmann, P, Fiori, M, Calderbank, R, Egger, H, and Sapiro, G. "Questionnaire simplification for fast risk analysis of children's mental health." ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (January 1, 2014): 6009-6013. Full Text

Tepper, M, and Sapiro, G. "All for one, one for all: Consensus community detection in networks." ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (January 1, 2014): 1075-1079. Full Text

Hashemi, J, Tepper, M, Vallin Spina, T, Esler, A, Morellas, V, Papanikolopoulos, N, Egger, H, Dawson, G, and Sapiro, G. "Computer vision tools for low-cost and noninvasive measurement of autism-related behaviors in infants." Autism research and treatment 2014 (January 2014): 935686-. Full Text Open Access Copy

Tepper, M, and Sapiro, G. "A Biclustering Framework for Consensus Problems." SIAM Journal on Imaging Sciences 7.4 (January 2014): 2488-2525. Full Text

Sprechmann, P, Bronstein, AM, and Sapiro, G. "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 (January 1, 2014): 11-15. Full Text

Fiori, M, Musé, P, and Sapiro, G. "Polyps flagging in virtual colonoscopy." Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8259 LNCS.PART 2 (December 1, 2013): 181-189. Full Text

Walczak, N, Fasching, J, Toczyski, WD, Morellas, V, Sapiro, G, and Papanikolopoulos, N. "Locating occupants in preschool classrooms using a multiple RGB-D sensor system." IEEE International Conference on Intelligent Robots and Systems (December 1, 2013): 2166-2172. Full Text


Harris, AK, Meyerson, JR, Matsuoka, Y, Kuybeda, O, Moran, A, Bliss, D, Das, SR, Yewdell, J, Sapiro, G, Subbarao, K, and Subramaniam, S. "Molecular Structures of Native HA Trimers on 2009 H1N1 Pandemic Influenza Virus Complexed with Neutralizing Antibodies." January 29, 2013. Full Text

Frank, GA, Kuybeda, O, Bartesaghi, A, Borgnia, MJ, Sapiro, G, and Subramaniam, S. "Computational Separation of Conformational Heterogeneity using Cryo-Electron Tomography and 3D Sub-Volume Averaging." January 2013. Full Text

Hashemi, J, Spina, TV, Tepper, M, Esler, A, Morellas, V, Papanikolopoulos, N, and Sapiro, G. "A computer vision approach for the assessment of autism-related behavioral markers." December 1, 2012. Full Text

Abosch, A, Harel, N, Sapiro, G, Duchin, Y, and Yacoub, E. "Utility of 7T Imaging for Deep Brain Stimulation Surgery." August 2012. Full Text

Zhou, T, Shan, H, Banerjee, A, and Sapiro, G. "Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information." SIAM / Omnipress, 2012.

Castrodad, A, Khuon, T, Rand, R, and Sapiro, G. "Sparse modeling for hyperspectral imagery with LiDAR data fusion for subpixel mapping." IEEE, 2012.

Sprechmann, P, Bronstein, AM, and Sapiro, G. "Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling." FEUP Edições, 2012.

Fasching, J, Walczak, N, Sivalingam, R, Cullen, K, Murphy, B, Sapiro, G, Morellas, V, and Papanikolopoulos, N. "Detecting risk-markers in children in a preschool classroom." IEEE, 2012.