Capturing 250 billion frames per second, the new imaging method reveals details behind the rapid formation of harmful gases and particles such as soot.
Researchers in the lab of Caltech’s Changhuei Yang, along with colleagues from the Keck School of Medicine of USC, have developed a laser-based device that can measure blood flow noninvasively and differentiate stroke risk based on current physiological conditions.
Gkioxari, an assistant professor of computing and mathematical sciences and electrical engineering, focuses on computer vision and giving machines the ability to understand the world around them.