Steven Bogaerts
Steven Bogaerts, Ph.D.
Assistant Professor of Computer Science
Wittenberg University
Springfield, Ohio 45501



Email:



Biography

Steven Bogaerts, assistant professor of computer science, teaches a wide range of courses at Wittenberg, including introductory programming, algorithms, programming languages, artificial intelligence, and the senior seminar.  He joined the faculty at Wittenberg in August 2007 after completing a Ph.D. in computer science from Indiana University.  He also earned an M.S. at Indiana University, and before that a B.S. in computer science and mathematics from Rose-Hulman Institute of Technology.  He also minored in Spanish, so you can stop by and ask him to conjugate the third-person plural imperfect subjunctive of jugar for you.

Dr. Bogaerts' dissertation topic was case-based reasoning, an artificial intelligence technique in which systems use past problem solving episodes to devise solutions to current problems.  Part of that work included developing IUCBRF, a freely-available Java framework to facilitate the development of case-based reasoning systems, which he continues to use, maintain, and distribute today.   He has also served as a research assistant for a project for distributed collaborative troubleshooting of Naval systems, and more recently as a software developer at Children's Research Institute, a part of Nationwide Children's Hospital in Columbus, OH.  Dr. Bogaerts has several publications resulting from his work (see below).

Dr. Bogaerts' faith is very important to him, and he values his participation in his church.  He also sings in both a men's chorus in Columbus and a barbershop quartet.  He is happily married to his wife, Angie, who asks him to reach things on the top shelf all the time.

Current Courses

Publications

My research interests include artificial intelligence and cognitive science, with a focus on case-based reasoning (CBR). Under the guidance of Dr. David Leake, I built IUCBRF, a freely-available Java framework to facilitate the development of case-based reasoning systems.
IUCBRF

Publications marked with a * were a part of my research assistantship position at the Indiana University Knowledge Acquisition and Projection Lab, developing more efficient maintenance systems for the United States Navy. My duties included applying case-based reasoning to more effectively bring appropriate maintenance knowledge to bear.