Dr. Catherine Qi Zhao is an assistant professor in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities. She obtained her Ph.D. from the University of California, Santa Cruz, followed by postdoctoral training at the California Institute of Technology. Prior to joining the University of Minnesota, she was an assistant professor in the Department of Electrical and Computer Engineering and the Department of Ophthalmology at the National University of Singapore, and the principal investigator at the Visual Information Processing Lab. Her main research interests include computational vision, machine learning, cognitive neuroscience, and mental disorders.

• Neural basis of vision.- Organization of visual pathway.- Retinal mechanisms, processes, and computation.- Perceptual organization and interpretation.- Social factors of vision.- Dynamics of visual perception.- Visual illusions.- Visual disorders.- Neural basis and theory of consciousness.- Attention and cognition: biological principles and computational models.- Object recognition: biological principles and computational models.- Overview of artificial vision.- Development of robot vision.- Retinal implants.- Diagnostic sensors for visual disorders.- Cross-modal plasticity.- Vision, action, and planning.- Applications.

Dr. Catherine Qi Zhao is an assistant professor in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities. She obtained her Ph.D. from the University of California, Santa Cruz, followed by postdoctoral training at the California Institute of Technology. Prior to joining the University of Minnesota, she was an assistant professor in the Department of Electrical and Computer Engineering and the Department of Ophthalmology at the National University of Singapore, and the principal investigator at the Visual Information Processing Lab. Her main research interests include computational vision, machine learning, cognitive neuroscience, and mental disorders.

• Neural basis of vision.- Organization of visual pathway.- Retinal mechanisms, processes, and computation.- Perceptual organization and interpretation.- Social factors of vision.- Dynamics of visual perception.- Visual illusions.- Visual disorders.- Neural basis and theory of consciousness.- Attention and cognition: biological principles and computational models.- Object recognition: biological principles and computational models.- Overview of artificial vision.- Development of robot vision.- Retinal implants.- Diagnostic sensors for visual disorders.- Cross-modal plasticity.- Vision, action, and planning.- Applications.