Christopher Kanan is a researcher in JPLs Mobility and Robotic Systems Section. He works on problems in computer vision, with an emphasis in object recognition, object detection, and active vision. Much of his current work is aimed at developing perception systems for autonomous robots.
Dr. Kanan has also done research in machine learning, eye tracking, and theoretical neuroscience.
Ph.D. in Computer Science, 2013, University of California San Diego.
M.S. in Computer Science, 2006, University of Southern California.
B.S. in Philosophy and Computer Science, 2004, Oklahoma State University.
Research Technologist, JPL, Pasadena, CA, 2014 - Present.
Caltech Postdoctoral Scholar at JPL, California Institute of Technology, 2013 - 2014.
Postdoctoral Scholar, University of California San Diego, 2013.
Research Intern, HRL Laboratories, 2005 - 2007.
Object Recognition
Object Detection
Active Vision
Self-taught Feature Learning
Machine Perception
Eye Movements