Computational Behavioral Coding for Developmental Disorders

Guillermo Sapiro

(Duke University)

Please LOG IN to view the video.

Date: May 11, 2022


In this talk I will describe some of the work at Duke University exploiting computer vision and machine learning for Autism screening.  We will illustrate the challenges, including the development in real pediatric clinics, as well as the results and discovery of biomarkers.

Further Information:

Guillermo Sapiro received his B.Sc. (summa cum laude), M.Sc., and Ph.D. from the Technion, Israel Institute of Technology. After post-doctoral research at MIT, Guillermo became a Member of Technical Staff at HP Labs. He was with the Department of Electrical and Computer Engineering at the University of Minnesota. Currently he is a James B. Duke School Professor with Duke University. He is also with Apple, Inc., where he leads a team on Health AI.
Guillermo works on theory and applications in computer vision, computer graphics, medical imaging, image analysis, and machine learning. He has authored  over 450 papers in these areas and has written a book published by CUP.  Guillermo was awarded the ONR Young Investigator Award in 1998, the Presidential Early Career Awards for Scientist and Engineers (PECASE) in 1998, the NSF 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 and at ICML 2019. He was elected to the American Academy of Arts and Sciences in 2018, to the National Academy of Engineering in 2022, and is a Fellow of IEEE and SIAM.  Guillermo was the founding Editor-in-Chief of the SIAM Journal on Imaging Sciences.

Created: Wednesday, May 18th, 2022