Marina E. Johnson

Contact Information

  • Email: Marina E. Johnson
  • Phone: 937-229-2913
  • Location: Kettering Laboratories Room 465B

Marina E. Johnson

Assistant Professor

  • Full-Time Faculty

Selected Publications

  • Johnson, M.E., and N. Nagarur. 2015. Multi-stage methodology to detect health insurance claim fraud. Journal of Healthcare Management Science (January 20).
  • Han, Y., M.E. Johnson Yuzgec, and M. Khasawneh. 2013. An artificial intelligence approach for breast cancer early risk assessment. ISERC, May 18-22, in San Juan, Puerto Rico.
  • Alazzam, A., M.E. Johnson Yuzgec, and H. Lewis. 2013. A new optimization algorithm for non-convex problems. ISERC, May 18-22, in San Juan, Puerto Rico.
  • Johnson Yuzgec, M.E., S. Norouzzadeh, and N. Nagarur. 2012. A creative approach to order allocation and sequencing problems using genetic algorithms and simulated annealing. Industrial and Systems Engineering World Conference, September 16-18, in Washington, D.C.
  • Johnson Yuzgec, M.E., Y. Han, and N. Nagarur. 2012. Meta-heuristic methods to multi-vehicle truck loading problems, and an application in industry. Industrial and Systems Engineering World Conference, September 16-18, in Washington, D.C.
  • Han, Y., M.E. Johnson Yuzgec, and M. Khasawneh. 2012. Breast cancer early risk assessment using a fuzzy-neural network hybrid approach. Industrial and Systems Engineering World Conference, September 16-18, in Washington, D.C.

Selected Honors and Awards

  • Alpha Pi Mu, Industrial Engineering Honor Society, Member, 2011-Present

Degrees

  • Ph.D. in Industrial and Systems Engineering, State University of New York at Binghamton

Professional Activities

  • Institute of Industrial Engineers, Member, 2010-present
  • American Risk and Insurance Association, Member, 2012-present
  • SUNY Binghamton, Systems Science and Industrial Engineering Graduate Student Organization, President, 2012-2014

Research Interests

  • Metaheuristic Optimization
  • Machine Learning
  • Simulation and Modeling
  • Data Analytics
  • Design of Experiments
  • Decision Systems