Marc Johnson

Education History

• B.A., Mathematics, Mount Saint Mary College
• MBA, Business, Mount Saint Mary College
• MA, Mathematics, State Univresity of New York at Albany

Work Experience

Associate, Accenture Federal Services

Publications

Anthony Kelly, Marc Anthony Johnson, “Investigating the Statistical Assumptions of Naive Bayes Classifiers,” In Proceedings of the 55th Annual Conference on Information Sciences and Systems, March 24-26, 2021

Jennings, J., M. Johnson, et al. 2020. The Networks of Sex Partner Meeting Places and Mixing among HIV and STI Priority Populations: A Venue-Based Analysis, Social Networks, Submitted June 2020

Johnson, A. N., T.V. Hromadka II, M. Carroll , M. Hughes, L. Jones, N. Pappas, C. Thomasy, S. Horton, R. Whitley, M. Johnson. 2014. A computational approach to determining CVBEM approximate boundaries, Engineering Analysis with Boundary Elements, Volume 41, Pages 83-89, http://dx.doi.org/10.1016/j.enganabound.2013.12.011

Boguchwal, L., Johnson, M., Kewley, L., Evans, D. 2013. Learning Networks: Iran and the Effects of Sanctions (Technical Report 13-005). Defense Technical Information Center (DTIC), Fort Belvoir, VA 22060-6218.

Johnson, M., Kewley, L., Evans, D. 2013. Developing an Elective Plan for Smart Sanctions: A Network Analysis Approach (Technical Report 13-004). Defense Technical Information Center (DTIC), Fort Belvoir, VA 22060-6218

Johnson, M. A., Johnson, A. N., David C. Arney (2015). Dynamic Actor-Oriented Models as a Tool for the Analysis of Dark Networks in a Multiply Connected Actor-Oriented Environment. In Luke Gerdes (Ed.), Illuminating Dark Networks The Study of Clandestine Groups and Organizations, Part of Structural Analysis in the Social Sciences Cambridge, MA. ISBN: 9781107102699