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.

Please note: Guillermo has left the Mathematics department at Duke University; some info here might not be up to date.

Contact Info:

Office Location:	140 Science Drive
Office Phone:	(919) 660-5252
Email Address:
Web Pages:	http://www.math.duke.edu/~gs108 http://sapirolab.pratt.duke.edu/

Office Hours:

By appointment. Contact via e-mail.

Education:

D.Sc.	Israel Institute of Technology (Israel)	1993
MS	Technion, Haifa, Israel	1991
BS	Technion, Haifa, Israel	1989

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.

Recent Publications   (More Publications)

1. Isaev, DY; Vlasova, RM; Di Martino, JM; Stephen, CD; Schmahmann, JD; Sapiro, G; Gupta, AS, Uncertainty of Vowel Predictions as a Digital Biomarker for Ataxic Dysarthria., Cerebellum (London, England), vol. 23 no. 2 (April, 2024), pp. 459-470 [doi]  [abs]
2. Franz, L; Viljoen, M; Askew, S; Brown, M; Dawson, G; Di Martino, JM; Sapiro, G; Sebolai, K; Seris, N; Shabalala, N; Stahmer, A; Turner, EL; de Vries, PJ, Autism Caregiver Coaching in Africa (ACACIA): Protocol for a type 1-hybrid effectiveness-implementation trial., PLoS One, vol. 19 no. 1 (2024), pp. e0291883 [doi]  [abs]
3. Nazaret, A; Tonekaboni, S; Darnell, G; Ren, SY; Sapiro, G; Miller, AC, Modeling personalized heart rate response to exercise and environmental factors with wearables data, npj Digital Medicine, vol. 6 no. 1 (December, 2023) [doi]  [abs]
4. Schlesinger, O; Kundu, R; Goetz, S; Sapiro, G; Peterchev, AV; Di Martino, JM, Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors., Clin Image Based Proced Fairness AI Med Imaging Ethical Philos Issues Med Imaging (2023), vol. 14242 (October, 2023), pp. 12-20, ISBN 9783031452482 [doi]  [abs]
5. Perochon, S; Di Martino, JM; Carpenter, KLH; Compton, S; Davis, N; Eichner, B; Espinosa, S; Franz, L; Krishnappa Babu, PR; Sapiro, G; Dawson, G, Early detection of autism using digital behavioral phenotyping., Nat Med, vol. 29 no. 10 (October, 2023), pp. 2489-2497 [doi]  [abs]

Recent Grant Support

• Caregiver Coaching to Improve Outcomes of Young Autistic Children in Africa, National Institutes of Health, 2022/08-2027/06.      
• Causality in the Real World: From Geometry to Privacy Foundations, Office of Naval Research, 2024/04-2027/03.      
• Accurate, low-cost, trackerless neuronavigation for transcranial magnetic stimulation, National Institute of Mental Health, 2022/05-2027/02.      
• Stratifying the Heterogeneity of Autism Spectrum Disorder: Impact of Co-Occurring Anxiety and ADHD, National Institutes of Health, 2021/06-2026/05.      
• A computational approach for quantifying motor behaviors in spinocerebellar ataxias to improve early detection of motor signs and precisely estimate disease severity and disease change, Massachusetts General Hospital, 2021/04-2026/03.      
• Collaborative Reseach: Transferable, Hierarchical, Expressive, Optimal, Robust, Interpretable NETworks (THEORINET), National Science Foundation, 2020/09-2025/08.      
• Collaborative Reseach: Transferable, Hierarchical, Expressive, Optimal, Robust, Interpretable NETworks (THEORINET), Simons Foundation, 2020/09-2025/08.      
• CIF: Small: Foundations and Applications of Blind Subgroup Robustness, National Science Foundation, 2021/10-2024/09.      
• Learning and Explaining Information Dynamics from Overhead Imagery, National Geospatial-Intelligence Agency, 2019/09-2024/09.      
• Apple Research Projects, Apple Corporation, 2023/09-2024/09.      
• Feeling and Body Investigators (FBI)-ARFID Division: Sensory and Somatic Exposure for Children with Avoidant Restrictive Food Intake Disorder, National Institutes of Health, 2021/08-2024/06.      
• Novel Approaches to Infant Screening for ASD in Pediatric Primary Care, National Institutes of Health, 2019/09-2024/06.      
• Scalable Computational Platform For Active Closed-Loop Behavioral Coding in Autism Spectrum Disorder, National Institutes of Health, 2019/07-2024/04.      
• Novel see and treat strategies for cervical cancer prevention in low-resource settings, National Institutes of Health, 2019/02-2024/01.      
• HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms, National Science Foundation, 2019/10-2023/09.      
• CIF: AF: Small: Foundations of Multimodal Information Integration, National Science Foundation, 1712867, 2017/09-2023/09.      
• Uncovering Population-Level Cellular Relationships to Behavior via Mesoscale Networks, National Institutes of Health, 2019/09-2023/09.      
• Digital Behavioral Outcome Measures for Autism, Simons Foundation Autism Research Initiative, 2019/07-2023/06.      
• Learning Utility-Preserving Private, Fair, and Invariant Representations, Office of Naval Research, 2020/05-2023/05.      
• Fundamentals and Applications in Learned Information Representation, Office of Naval Research, 2020/04-2023/04.      
• Tailoring treatment targets for early autism intervention in Africa, National Institutes of Health, 2019/08-2023/01.      
• Learning Privacy for the Internet of Visual Things, Cisco Systems, Inc., 2018/06-2022/09.      
• Administrative Supplement: SCH: INT: Computational Tools for Avoidant/Restrictive Food Intake Disorder, National Institutes of Health, 2019/09-2022/08.      
• The Foundations of Dynamic Drone-based Threat Detection, National Science Foundation, 1737744, 2017/09-2022/08.      
• Building a streamlined birth cohort to study autism risk factors and biomarkers, Drexel University, 2020/01-2022/05.      
• REU Site for Meeting the Grand Challenges in Engineering, National Science Foundation, 2017/05-2022/04.