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
INDUSTRIAL/CONSULTING EXPERIENCE
- 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