George Papandreou holds a Diploma (2003) and Ph.D. (2009) in electrical and
computer engineering, both from the National Technical University of Athens
(NTUA), Greece. He is currently a Research Assistant Professor at the Toyota
Technological Institute at Chicago (TTI-C), following an appointment
(2009-2013) as a postdoctoral research scholar at the University of
California, Los Angeles (UCLA).

His research interests are in computer vision, machine learning, and
multimodal perception. In computer vision, he is currently working on
invariant patch-based representations for image analysis, labeling, and
recognition. In machine learning, he has introduced and is further developing
efficient Bayesian inference methods built on top of deterministic energy
minimization algorithms. He serves as a reviewer and program committee member
to the main journals and conferences in computer vision, image processing, and
machine learning and has been a co-organizer of the NIPS 2012 and 2013
Workshops on Perturbations, Optimization, and Statistics.