Expertise: Computer Vision; Human-Centered AI; Machine Learning; Natural Language Processing; Robotics
Ranjay Krishna is an Assistant Professor at the Paul G. Allen School of Computer Science & Engineering. His research lies at the intersection of computer vision and human computer interaction. This research has received best paper, outstanding paper, and orals at CVPR, ACL, CSCW, NeurIPS, UIST, and ECCV, and has been reported by Science, Forbes, the Wall Street Journal, and PBS NOVA. His research has been supported by Google, Amazon, Cisco, Toyota Research Institute, NSF, ONR, and Yahoo.
Krishna holds a bachelor’s degree in Electrical & Computer Engineering and in Computer Science from Cornell University, a master’s degree in Computer Science from Stanford University and a Ph.D. in Computer Science from Stanford University.