Professor Al Bovik's research interests broadly span the areas of digital video, image processing, and computational aspects of biological visual perception. Over the years, he significantly contributed to many areas: in the 1980's, he introduced and systematized the class of digital filters based on order statistics; he has been a pioneer in the use of new human vision models for image and video processing applications; he was an early popularizer of using wavelets in image processing; he introduced the AM-FM model to the image processing community, and has shown it to be successfully applicable to a broad diversity of applications. Recently, he has been working on developing an understanding of the interplay between natural image statistics, patterns of eye movement, and foveation; the goal being to acquire a better understanding of the interplay between the environment being imaged and the evolution of optimal techniques for adapting image and video processing systems to match the statistics of the available visual information. Bovik is a Professor in the Department of Electrical and Computer Engineering, is the Director of the Laboratory for Image and Video Engineering (LIVE) in CPS, and is the Robert Parker Centennial Endowed Professor of Engineering.