Guillermo Sapiro

James B. Duke Distinguished Professor of Electrical and Computer Engineering

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.

Appointments and Affiliations

  • James B. Duke Distinguished Professor of Electrical and Computer Engineering
  • Professor of Electrical and Computer Engineering
  • Professor of Computer Science
  • Faculty Network Member of the Duke Institute for Brain Sciences

Contact Information

Education

  • D.Sc. Israel Institute of Technology (Israel), 1993

Research Interests

Image and video processing, computer vision, computer graphics, computational vision, biomedical imaging, brain imaging, cryo-tomography of viruses, computational tools in cryo-tomography, computational tools in early diagnosis of psychiatric disorders, differential geometry and differential equations, scientific computation, learning and high dimensional data analysis, sparse modeling and dictionary learning, applied mathematics.

Awards, Honors, and Distinctions

  • Member. National Academy of Engineering. 2022
  • Member. American Academy of Arts & Sciences. 2018
  • Stansell Family Distinguished Research Award. Pratt School of Engineering. 2017
  • Distinguished Israel Pollack Lecturer. Technion (Haifa, Israel). 2016
  • Plenary Speaker. European Signal Processing Conference (EUSIPCO). 2014
  • Science Advisory Board. Institute for Computational and Experimental Research in Mathematics (ICERM), Brown University. 2014
  • Fellow. Institute of Electrical and Electronics Engineers (IEEE). 2014
  • Member, Board on Mathematical Sciences and their Applications (BMSA). The National Academies. 2014
  • Fellow. Society for Industrial and Applied Mathematics. 2013
  • Helmholtz Prize. IEEE Computer Society. 2011
  • National Security Science and Engineering Faculty Fellow. US Department of Defense. 2010

Courses Taught

  • ECE 891: Internship
  • ECE 494: Projects in Electrical and Computer Engineering
  • ECE 493: Projects in Electrical and Computer Engineering

In the News

Representative Publications

  • Isaev, Dmitry Yu, Roza M. Vlasova, J Matias Di Martino, Christopher D. Stephen, Jeremy D. Schmahmann, Guillermo Sapiro, and Anoopum S. Gupta. “Uncertainty of Vowel Predictions as a Digital Biomarker for Ataxic Dysarthria.” Cerebellum (London, England) 23, no. 2 (April 2024): 459–70. https://doi.org/10.1007/s12311-023-01539-z.
  • Goldberg, Carey Beth, Laura Adams, David Blumenthal, Patricia Flatley Brennan, Noah Brown, Atul J. Butte, Morgan Cheatham, et al. “To do no harm - and the most good - with AI in health care.” Nature Medicine 30, no. 3 (March 2024): 623–27. https://doi.org/10.1038/s41591-024-02853-7.
  • Franz, Lauren, Marisa Viljoen, Sandy Askew, Musaddiqah Brown, Geraldine Dawson, J Matias Di Martino, Guillermo Sapiro, et al. “Autism Caregiver Coaching in Africa (ACACIA): Protocol for a type 1-hybrid effectiveness-implementation trial.” PLoS One 19, no. 1 (2024): e0291883. https://doi.org/10.1371/journal.pone.0291883.
  • Nazaret, A., S. Tonekaboni, G. Darnell, S. Y. Ren, G. Sapiro, and A. C. Miller. “Modeling personalized heart rate response to exercise and environmental factors with wearables data.” Npj Digital Medicine 6, no. 1 (December 1, 2023). https://doi.org/10.1038/s41746-023-00926-4.
  • Schlesinger, Oded, Raj Kundu, Stefan Goetz, Guillermo Sapiro, Angel V. Peterchev, and J Matias Di Martino. “Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors.” In Clin Image Based Proced Fairness AI Med Imaging Ethical Philos Issues Med Imaging (2023), 14242:12–20, 2023. https://doi.org/10.1007/978-3-031-45249-9_2.