Professor Beveridge works on Computer Vision, emphasizing problems relating to object recognition. Current interests include evaluation methodology and the evaluation of human face recognition algorithms in particular. Open source tools for benchmarking face recognition algorithm performance are an important component of his face recognition work, and the CSU Face Identification Evaluation System has been downloaded over 10,000 times since its introduction in 2001. The face recognition work has also resulted in the largest covariate studies to date exploring what factors make a person's face harder or easier to recognize using standard algorithms. Professor Beveridge's other interests include high dimensional data analysis, optimal matching of geometric features, genetic algorithms and the use reconfigurable embedded hardware.