Skip to main content
MenuSearch & Directory
Close
People Finder Directory >

Kevin Scannell, Ph.D.

Professor ; Graduate Coordinator
Department of Computer Science

Courses Taught

CSCI 3200 Programming Languages, CSCI 5030 Principles of Software Development, CSCI 5030 Principles of Software Development, CSCI 5030 Principles of Software Development, CSCI 1300 Introduction to Object-Oriented Programming, CSCI 4930 Special Topics: Natural Language Processing, CSCI 5755 Natural Language Processing

Education

  • Ph.D. in Mathematics, University of California-Los Angeles
  • B.S. in Pure Mathematics, Massachusetts Institute of Technology

Kevin Scannell earned a BS in Pure Mathematics at MIT in 1991 and a Ph.D. in Mathematics at UCLA in 1996 under the supervision of Geoffrey Mess. His mathematical research focused on hyperbolic 3-manifolds, low-dimensional topology, and mathematical physics. After spending two years at Rice University as a G. C. Evans postdoctoral instructor, he joined the faculty at Saint Louis University in 1998. His current research uses machine learning to develop computational resources that support speakers of indigenous and minority languages around the world, particularly Irish and the other Celtic languages.

Research Interests

  • Machine Learning
  • Natural Language Processing

Publications and Media Placements

  • Teresa Lynn, Kevin P. Scannell, and Eimear Maguire. “Minority Language Twitter: Part-of-Speech Tagging and Analysis of Irish Tweets”. In: Proceedings of the Workshop on Noisy User-generated Text, NUT@IJCNLP 2015, Beijing, China, July 31, 2015. 2015, pp. 1–8. doi: 10.18653/v1/W15-4301. url: https://doi.org/10.18653/v1/W15-4301.
  • Kevin P. Scannell. “Statistical unicodification of African languages”. In: Language Resources and Evaluation 45.3 (2011), pp. 375–386. doi: 10.1007/s10579-011-9150-3. url: https://doi.org/10.1007/s10579-011-9150-3.
  • Oliver Streiter, Kevin P. Scannell, and Mathias Stuflesser. “Implementing NLP projects for noncentral languages: instructions for funding bodies, strategies for developers”. In: Machine Translation 20.4 (2006), pp. 267–289. doi: 10.1007/s10590-007-9026-x. url: https://doi.org/10.1007/s10590-007-9026-x.