Stefano Soatto is a Professor of Computer Science in Los Angeles, University of California, California, where he is also professor of electrical engineering, UCLA Vision Lab Founding Director. For his contributions to dynamic visual processes, he was named a Fellow of the Institute of Electrical and Electronic Engineers in 2013. In 1999 he was awarded the David Marr Prize in Computer Vision.

Soatto got his D. Eng. Eng. In 1992, in electric engineering Cum Laude was an EAP Fellow at Berkeley University in 1990-91, and received in 1996 his PhD in control and dynamic systems from the California Institute of Technology with his dissertation “A Geometrical Approach to Dynamic Vision.” In 1992, he completed his PhD at the University of California at Berkeley. In 1996-97, he was a post-doctoral scholar at Harvard University, and subsequently held positions at the university of Udine (Italy) as an Assistant and Associate Professor of Electrical Engineering and Biomedical Engineering at Washington University (St. Louis). Since 2000, he has been at UCLA.

Computer vision, machine teaching and robotics are the focus of Soatto’s research. He co-developed optimal algorithms for From Motion Structure, characterized its ambiguities and also characterized the visual and inert fusion identity and observability. Its focus on research is the development of representations that are data functions that capture their informative content and eliminate irrelevant data variability.

Soatto’s lab demonstrated first in the CVPR 2000, ICCV 2001 and ECCV 2002 in real-time SFM and Augmented Reality on commodity hardware. He also co-leaded the UCLA-Golem team with Emilio Frazzoli and Amnon Shashua at DARPA’s second major autonomous vehicle challenge.