Andres Huertas was born in Colombia. In the 70s he studied Systems and Computer Engineering where he developed an interest in Artificial Intelligence. In 1976 he became a student at USC in Los Angeles, where he studied Computer Science and Electrical Engineering. As a student at USC he worked at the Image Processing Institute and upon graduation, at the Institute for Robotics and Intelligent Systems. His work since 1978 dealt with computer vision research, sponsored by the 20-year DARPA Image Understanding Program. The systems he developed in LISP to map cultural features from large single, pairs, and multiple aerial images were ported to several national labs and industrial sites for testing and evaluation. In 2002 he joined the Computer Vision Group at the Jet Propulsion Laboratory to work on computer vision techniques for autonomous off-road navigation, and on techniques for hazard detection for safe landing of spacecraft on planetary surfaces.

Engineer, Electrical Engineering, University of Southern California, Los Angeles, 1984.
M.S. Computer Science, University of Southern California, Los Angeles, 1978.
B.S. Systems and Computing Engineering, Universidad de los Andes, Bogota, 1974

2002-present: Sr. Member Tech. Staff, JPL/Computer Vision Group-Mobility and Robotics Systems Section

1978-2001: Research Assistant, Research Associate, USC/IPI, USC/IRIS - Image Understanding.

Human Visual Perception,
Machine Vision,
Saliency,
Perceptual Grouping.
Multi-sensory perception,
Visual information fusion.