Summary
Jonathan Ventura is an associate professor of computer science at Cal Poly, San Luis Obispo, specializing in computer vision with a focus on geometric problems like 3D modeling and camera localization. With 13 years of experience spanning academia and industry—from a postdoc in Austria collaborating with Qualcomm Research to an internship at Adobe—he bridges foundational research and practical sensor-driven systems. His work aims to make advanced mobile augmented reality widely accessible, and has earned two IEEE ISMAR best paper awards. Trained entirely at UC Santa Barbara (B.S./M.S./Ph.D.), he combines rigorous machine learning and image-processing expertise with a track record of publishing at top venues including CVPR, ICCV, ECCV, and SIGGRAPH. An uncommonly persistent thread in his career is translating geometric vision advances into deployable AR experiences leveraging novel sensor technologies.
13 years of coding experience
13 years of employment as a software developer
Ph.D., Computer Science, Ph.D., Computer Science at University of California, Santa Barbara