Dr. Matt Boutell is a passionate educator who received the 2016 Dean’s Outstanding Teacher Award. He specializes on image recognition, machine learning, and pattern recognition during a career that has been enhanced by a four-year research internship with Eastman Kodak and doctoral research at the University of Rochester. Dr. Boutell played a key role in establishing Rose-Hulman’s multidisciplinary robotics minor, introduced the use of robotics in the department’s introductory software development course, and added new courses in image recognition and Android application development for students in a variety of academic majors. He also spent a year teaching as a Fulbright Scholar at Zambia’s Copperbelt University. In his spare time, Dr. Boutell has assisted the needy and shut-ins during inner-city mission trips and has advised a middle-school homeschool team in the local and Indiana MATHCOUNTS competitions. Check out his personal web page.

Academic Degrees

  • PhD, University of Rochester, Computer Science, 2005
  • MS, University of Rochester, Computer Science, 2002
  • MEd, University of Massachusetts-Amherst, Mathematics Education, 1994
  • BS, Worcester Polytechnic, Mathematical Science, 1993

Awards & Honors

  • Dean’s Outstanding Teaching Award, Rose-Hulman Institute of Technology, 2016
  • Fulbright Scholar, Copperbelt University, Zambia, 2011-12


  • Developed systems for classifying photographs into semantic categories

Research Experiences

  • Online education: Using video-based materials to complement in-class activity
  • Creating pedagogical techniques to challenge computer science students while maintaining accessibility
  • Classifying photographs based on image-based features
  • Using other information about a photograph to aid classification

Teaching Interests

  • Image recognition, machine learning, and pattern recognition
  • Computer science education
  • Mobile app development
  • Data structures and algorithms
  • Object oriented software development
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