Guillermo Sapiro

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
  • Professor of Mathematics
  • Faculty Network Member of the Duke Institute for Brain Sciences

Contact Information


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

Courses Taught

  • BME 791: Graduate Independent Study
  • ECE 291: Projects in Electrical and Computer Engineering
  • ECE 391: Projects in Electrical and Computer Engineering
  • ECE 392: Projects in Electrical and Computer Engineering
  • ECE 493: Projects in Electrical and Computer Engineering
  • ECE 588: Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
  • ECE 891: Internship
  • EHD 396: Bass Connections: Interdisciplinary Team Projects
  • EHD 796: Bass Connections: Interdisciplinary Team Projects

In the News

Representative Publications

  • Solomon, O; Palnitkar, T; Patriat, R; Braun, H; Aman, J; Park, MC; Vitek, J; Sapiro, G; Harel, N, Deep-learning based fully automatic segmentation of the globus pallidus interna and externa using ultra-high 7 Tesla MRI., Human Brain Mapping (2021) [10.1002/hbm.25409] [abs].
  • Carpenter, KLH; Hahemi, J; Campbell, K; Lippmann, SJ; Baker, JP; Egger, HL; Espinosa, S; Vermeer, S; Sapiro, G; Dawson, G, Digital Behavioral Phenotyping Detects Atypical Pattern of Facial Expression in Toddlers with Autism., Autism Res, vol 14 no. 3 (2021), pp. 488-499 [10.1002/aur.2391] [abs].
  • Perochon, S; Di Martino, M; Aiello, R; Baker, J; Carpenter, K; Chang, Z; Compton, S; Davis, N; Eichner, B; Espinosa, S; Flowers, J; Franz, L; Gagliano, M; Harris, A; Howard, J; Kollins, SH; Perrin, EM; Raj, P; Spanos, M; Walter, B; Sapiro, G; Dawson, G, A scalable computational approach to assessing response to name in toddlers with autism., The Journal of Child Psychology and Psychiatry and Allied Disciplines (2021) [10.1111/jcpp.13381] [abs].
  • Emani, PS; Warrell, J; Anticevic, A; Bekiranov, S; Gandal, M; McConnell, MJ; Sapiro, G; Aspuru-Guzik, A; Baker, JT; Bastiani, M; Murray, JD; Sotiropoulos, SN; Taylor, J; Senthil, G; Lehner, T; Gerstein, MB; Harrow, AW, Quantum computing at the frontiers of biological sciences., Nature Methods (2021) [10.1038/s41592-020-01004-3] [abs].
  • Hashemi, J; Dawson, G; Carpenter, KLH; Campbell, K; Qiu, Q; Espinosa, S; Marsan, S; Baker, JP; Egger, HL; Sapiro, G, Computer Vision Analysis for Quantification of Autism Risk Behaviors, Ieee Transactions on Affective Computing, vol 12 no. 1 (2021), pp. 215-226 [10.1109/TAFFC.2018.2868196] [abs].