Professor Benitez studies infrared (IR) vision with the long-term goal of making IR imaging systems ‘see’ as humans do it in the visible spectrum. IR images/video provide valuable information for the interpretation of natural scenes, including but not limited to infrared non-destructive testing in industry and non-invasive human health diagnosis. Prof. Benitez’ group has successfully applied time-dependent thermographic analysis to diagnose the evolution of patients subjected to soft tissue surgeries (e.g. nerves, tendons, muscle, etc.). Prof. Benitez has also proposed and applied a Global Signal to Noise Ratio index that comprehensively evaluates defect detectability, and an IR Image Quality Index that compares visual structural information in infrared images in material samples exposed to loading conditions. This global approach determines the time at which the majority of the defects become visible in a sample.