Name: Mr. Matthew Adam Johnson
Title: Professional Lecturer
Office Location: Hancock Center 3018
Extension: (845) 575-3000 ext. 2620
Email: Matthew.Johnson1@marist.edu
Degrees Held:
  • Master of Science, Computer Science, State University of New York at New Paltz, 2000-2002
  • Bachelor of Science, Mathematics, State University of New York at New Paltz, 1997-1999
  • Associate of the Arts, Bard College at Simon's Rock, 1992-1994

Certifications:
  • Certified Associate System Administrator - AIX 7, IBM, December 2013-Present
  • LPIC-1 Junior Linux Professional, Linux Professional Institute, 2009-2014
  • SUSE 11 Tech Spec, Novell Training Services, License 10116834, September 2013-Present
  • Ceritified Linux Administrator, Novell Training Services, March 2010-Present
  • Data Center Specialist, Novell Training Services, March 2010-Present

Bio:

Enthusiastic educator with diverse knowledge and expertise in my field coupled with a background in industry as a lead software engineer. I have strong experience in curriculum and course development, as well as in supervising and mentoring students in undergraduate research/development projects.

Awards & Honors:
  • Faculty Award for Openflow/SDN Research, IBM, 2013
  • Faculty Award for Enterprise Systems Education, IBM, 2009
  • Award for Outstanding Achievement in Mathematics, SUNY, 1999
  • Acceleration to Excellence Merit Scholarship, Bard College at Simon's Rock, 1992-1994

Publications:
  • Glomksi, M., & Johnson, M. A. (2012). A Precise Calculation of the Critical Rayleigh Number and Wave Number for the Rigid-Free Rayleigh-Bénard Problem, Applied Mathematical Sciences, Vol. 6, 2012, no. 103
  • Coleman, R., & Johnson, M. A. (2004). Genetically Inspired Blackjack Strategies Disturbed by Additive Spectral Noise, Proceedings of the 2004 International Conference on Artificial Intelligence
  • Coleman, R., & Johnson, M. A. (2004) Genetic Algorithm-Induced Optimal Blackjack Strategies in Noisy SettingsProceedings of the Seventeenth Canadian Conference on Artificial Intelligence
  • Coleman, R., Johnson, M. A., Potluri, L. P. (2003). Risk Neutral Decision Trees, Proceedings of the International Conference on Machine Learning; Models, Technologies and Applications