Darrah Chavey, Professor
(221 Sanger Science Center, 363–2220; firstname.lastname@example.org)
B.A. University of Michigan–Flint, M.A. (mathematics), M.S. (computer science), and Ph.D. (geometry) University of Wisconsin–Madison.
Darrah has published a series of papers on the geometry of tilings and is the author of Drawing Pictures with One Line: Exploring Graph Theory (1983). For many years he coached the College's teams in the annual ACM Computer Programming Competition, including two teams that went to the international finals. Special interests include the design and analysis of algorithms, software engineering, parallel programming, geometry, and ethnomathematics. In summer 2012, he mentored research by Hugh Smith '13 on games on graphs (supported by Beloit College Trustee Jim Sanger) and a McNair Scholars Project (funded by the U.S. Department of Education TRIO program) with Mackenzie Endress '14 on game theoretic aspects of the influence of Super PACs in the 2012 Presidential election. Web site: http://www.beloit.edu/computerscience/faculty/chavey/.
Eyad Haj Said, Assistant Professor
(219 Sanger Science Center, 363-2071; email@example.com)
B.A. Damascus University (engineering in electrical engineering), M.S. Stevens Institute of Technology (engineering in electrical engineering), Ph.D. West Virginia University (engineering in computer engineering).
Eyad's research includes topics in biometrics, digital image processing, medical imaging, data mining and data fusion to develop fully automated systems for identification, prediction and classification purposes. He worked as Postdoctoral Research Associate in the NOAA-ISET Center at North Carolina A&T State University to develop new tools that help in understanding climate change and predict future disasters related to weather, such as hurricanes and forest fires. In addition, he worked in development of prediction based methods to compare (and fuse) two sources of satellite data that have different modalities and characteristics. During his Ph.D. program at West Virginia University, Eyad was involved in two research programs. The first program was developing a fully Automated Dental Identification System (ADIS) with goals and objectives similar to Automated Fingerprints Identification System (AFIS) but using dental characteristics extracted from dental x-rays images instead of fingerprints. This program was supported by National Science Foundation (NSF), and National Institute of Justice (NIJ). The team had a patent that relates to an automated dental identification system and different digital processing steps of dental radiographs. The other program will develop a fully ear automated identification system. Eyad developed adaptive algorithms for enhancement, segmentation, segmentation evaluation, film type classification, feature extraction, and ear recognition as parts of the identification process.
Sue Swanson*, Professor of Geology and Department Chair of Geology, Mathematics, & Computer Science
(434 Sanger Science Center, 363-2132; firstname.lastname@example.org)
Steve Huss-Lederman (2019), emeritus professor of computer science
B.S. University of Maryland, Ph.D. California Institute of Technology
Rama Viswanathan (1983), emeritus professor of chemistry and computer education
B.S. Bombay University (India), M.S. Indian Institute of Technology, Ph.D. University of Oregon