Prof. John M. Gauch

Computer Science and Computer Engineering
University of Arkansas
Fayetteville, AR 72701


  • Honours B.Sc. in Computer Science, Queen's University, Ontario
  • M.Sc. in Computer Science, Queen's University, Ontario
  • Ph.D. in Computer Science, University of North Carolina, Chapel Hill
  • Teaching and Research Areas

  • Programming Foundations I and II
  • Computer Graphics
  • Digital Image Processing
  • Digital Video Processing
  • Computer Vision
  • Biographical Sketch

    Dr. John Gauch joined the Computer Science and Computer Engineering Department at the University of Arkansas as a Professor in 2008. From 1989 to 1993 he was an Assistant Professor in the College of Computer Science at Northeastern University in Boston. In 1993, he joined the Department of Electrical Engineering and Computer Science at the University of Kansas where he was promoted to Associate Professor in 1996. While at Kansas, he was Associate Chair for Graduate Studies from 2000 to 2005, and Co-Director of the e-Learning Design Laboratory from 2002 to 2006. In 2001, Prof. Gauch was awarded the Archie and Nancy Dykes Outstanding Teaching Award at the University of Kansas. In 2015, he was awarded the Imhoff Teaching Award in the College of Engineering at the University of Arkansas.

    Dr. Gauch conducts research in multimedia applications, developing tools and techniques for real-time digital video analysis. In particular, he has worked on methods to identify scene transition (cuts, fades, and dissolves), methods to automatically locate repeated video sequences (e.g. commercials) in real-time, and methods to index and retrieve video clips from very large databases (thousands of hours of content) based on image features. Dr. Gauch is also interested in image processing and computer vision techniques for biomedical image enhancement, image segmentation, and motion tracking applications. This research has resulted in over sixty publications in these areas including one book and one patent. Dr. Gauch has graduated seven Ph.D. students and over thirty M.S. students.