Contributor
Victor Mateevitsi
Biography
Victor A. Mateevitsi is an Assistant Computer Scientist at the Argonne Leadership Computing Facility, where his research interests include large-scale visualizations, mixed reality technologies, and novel interaction techniques. He obtained his Ph.D. in Computer Science from the Electronic Visualization Laboratory at the University of
Illinois at Chicago. From working on the Universal Scene Description (USD) at Pixar; to spending a summer at DreamWorks animation, developing Premo, the award-winning animation platform behind Oscar-nominated movies, like How To Train Your Dragon 2; to researching social Mixed Reality at Microsoft Research, Victor enjoys solving difficult problems. He has been a TEDx speaker, has been named one of the "20 in their 20s" by Crain's Business Magazine, "Fifty for the Future®" by the Illinois Technology Foundation and his work has been featured on magazines such as Forbes, Popular Mechanics, New Scientist and on television programs such as the "Daily Planet" and "All-American Makers".
Illinois at Chicago. From working on the Universal Scene Description (USD) at Pixar; to spending a summer at DreamWorks animation, developing Premo, the award-winning animation platform behind Oscar-nominated movies, like How To Train Your Dragon 2; to researching social Mixed Reality at Microsoft Research, Victor enjoys solving difficult problems. He has been a TEDx speaker, has been named one of the "20 in their 20s" by Crain's Business Magazine, "Fifty for the Future®" by the Illinois Technology Foundation and his work has been featured on magazines such as Forbes, Popular Mechanics, New Scientist and on television programs such as the "Daily Planet" and "All-American Makers".
Presentations
Workshop
Performance Measurement, Modeling, and Tools
Performance Optimization
W
Workshop
Data Analysis, Visualization, and Storage
Large Scale Systems
Performance Measurement, Modeling, and Tools
W
Workshop
Data Analysis, Visualization, and Storage
Large Scale Systems
Performance Measurement, Modeling, and Tools
W
