Guillermo Sapiro

  • Edmund T. Pratt, Jr. School 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.

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

Selected Grants

Scalable Quantitative Video Analysis for Online Phenotyping, Early Screening, and Symptom Monitoring for Autism Spectrum Disorders awarded by Simons Foundation Autism Research Initiative (Principal Investigator). 2017 to 2018

Multimodal Subspace Learning and Modeling of Complex Systems awarded by Army Research Laboratory (Principal Investigator). 2016 to 2018

Path Toward MRI with Direct Sensitivity to Neuro-Electro-Magnetic Oscillations awarded by National Institutes of Health (Co Investigator). 2014 to 2018

Learning to Exploit Big Data awarded by National Geospatial-Intelligence Agency (Principal Investigator). 2013 to 2017

AF: Small: Learning to Parsimoniously Model and Compute with Big Data awarded by National Science Foundation (Principal Investigator). 2013 to 2017

Visitors to the Information Initiative at Duke awarded by Office of Naval Research (Principal Investigator). 2015 to 2016

Informed Signal Models: Theory and Applications in Image Sciences awarded by Office of Naval Research (Principal Investigator). 2012 to 2016


Qiu, Q, Thompson, A, Calderbank, R, and Sapiro, G. "Data Representation Using the Weyl Transform." IEEE Transactions on Signal Processing 64.7 (April 2016): 1844-1853. Full Text

Lyzinski, V, Fishkind, DE, Fiori, M, Vogelstein, JT, Priebe, CE, and Sapiro, G. "Graph Matching: Relax at Your Own Risk." IEEE transactions on pattern analysis and machine intelligence 38.1 (January 2016): 60-73. Full Text

Carpenter, KLH, Sprechmann, P, Calderbank, R, Sapiro, G, and Egger, HL. "Quantifying Risk for Anxiety Disorders in Preschool Children: A Machine Learning Approach." PloS one 11.11 (January 2016): e0165524-. Full Text

Hashemi, J, Campbell, K, Carpenter, KLH, Harris, A, Qiu, Q, Tepper, M, Espinosa, S, Borg, JS, Marsan, S, Calderbank, R, Baker, JP, Egger, HL, Dawson, G, and Sapiro, G. "A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study." MOBIHEALTH 2015 - 5th EAI International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare through Innovations in Mobile and Wireless Technologies (December 22, 2015). Full Text

Delbracio, M, and Sapiro, G. "Removing Camera Shake via Weighted Fourier Burst Accumulation." IEEE Transactions on Image Processing 24.11 (November 2015): 3293-3307. Full Text

Lucas, JE, and Sapiro, G. "Cancer: What's luck got to do with it?." Significance 12.2 (April 2015): 40-42. Full Text

Yang, J, Liao, X, Yuan, X, Llull, P, Brady, DJ, Sapiro, G, and Carin, L. "Compressive sensing by learning a Gaussian mixture model from measurements." IEEE transactions on image processing : a publication of the IEEE Signal Processing Society 24.1 (January 2015): 106-119. Full Text

Duarte-Carvajalino, JM, Lenglet, C, Xu, J, Yacoub, E, Ugurbil, K, Moeller, S, Carin, L, and Sapiro, G. "Estimation of the CSA-ODF using Bayesian compressed sensing of multi-shell HARDI." Magnetic resonance in medicine 72.5 (November 2014): 1471-1485. Full Text

Yang, J, Yuan, X, Liao, X, Llull, P, Brady, DJ, Sapiro, G, and Carin, L. "Video compressive sensing using Gaussian mixture models." IEEE transactions on image processing : a publication of the IEEE Signal Processing Society 23.11 (November 2014): 4863-4878. Full Text

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


Draelos, M, Qiu, Q, Bronstein, A, and Sapiro, G. "Intel realsense = Real low cost gaze." December 9, 2015. Full Text

Huang, J, Qiu, Q, Calderbank, R, and Sapiro, G. "Geometry-aware deep transform." February 17, 2015. Full Text

Huang, J, Qiu, Q, Calderbank, R, Rodrigues, M, and Sapiro, G. "Alignment with intra-class structure can improve classification." January 1, 2015. Full Text

Kim, J, Duchin, Y, Sapiro, G, Vitek, J, and Harel, N. "Clinical subthalamic nucleus prediction from high-field brain MRI." January 1, 2015. Full Text

Huang, J, Qiu, Q, Sapiro, G, and Calderbank, R. "Discriminative robust transformation learning." January 1, 2015.

Yoo, TS, Lowekamp, BC, Kuybeda, O, Narayan, K, Frank, GA, Bartesaghi, A, Borgnia, M, Subramaniam, S, Sapiro, G, and Ackerman, MJ. "Accelerating Discovery in 3D Microanalysis: Leveraging Open Source Software and Deskside High Performance Computing." August 2014. Full Text