Dan Zalewski

Contact Information

  • Email: Dan Zalewski
  • Phone: (937) 229-2696
  • Location: Kettering Laboratories Room 365F

Dan Zalewski

Assistant Professor

  • Full-Time Faculty

Biography

Dr. Dan Zalewski is an assistant professor in the Department of Engineering Management, Systems, and Technology at the University of Dayton. He teaches a variety of graduate-level courses including decision analysis, probability and statistics, design and analysis of experiments, and system dynamics. Zalewski has broad experience in the creative use of modeling and simulation to assist organizations making hard decisions in complex environments. He has applied advanced data analysis and operations research to a variety of topics including strategic planning, process improvement and large capital investments.

Selected Publications

  • Zalewski, D. (2015). There and back again: Lessons from transitioning to an on-line course. 2015 Industrial & Systems Engineering Research Conference, Nashville, TN. (Invited)
  • Zalewski, D., & Schneider, K. (2014). Introducing mastery level on-line assessments in a blended graduate course. Proceedings of the 2014 Industrial & Systems Engineering Research Conference, Montreal, Canada.
  • Artelli, M. J., Deckro, R. F., Zalewski, D. J., Leach, S. E., & Perry, M. B. (2010). A control theory model of deployed soldiers’ morale. International Journal of Operational Research, 7(1).
  • Artelli, M. J., Deckro, R. F., Zalewski, D. J., Leach, S. E., & Perry, M. B. (2009). A dynamic approach for modeling elements of modern conflict. Military Operations Research, 14(2).
  • Artelli, M. J., Deckro, R. F., Zalewski, D. J., Leach, S. E., & Perry, M. B. (2008). Modeling elements of modern warfare. 76th MORS Symposium. (Best Paper in the Information Operations Working Group)
  • Zalewski, D. J., & Mykytka, E. F., (2000). A management framework for process control and capability in the presence of autocorrelation. International Association for Management of Technology, Miami, FL.

Courses Taught

  • Probability and statistics for engineers
  • System dynamics
  • Design and analysis of experiments
  • Decision analysis
  • Project management / systems engineering
  • Quality assurance

Degrees

  • Ph.D., Operations Research, Air Force Institute of Technology, 1995
  • M.S., Operations Research, George Mason University, 1988
  • B.S., Mathematics, United States Air Force Academy, 1983

Professional Activities

  • Institute of Industrial Engineers (IIE), Member
  • Institute of Operations Research and the Management Sciences (INFORMS), Member

Research Interests

  • Agent based modeling
  • Process improvement
  • System dynamics
  • Statistical process control
  • Artificial intelligence
  • Applied statistics