M.S. Applied Mathematics (Operations Analysis Track), NPS 1997
SEED (Simulation Experiments & Efficient Designs) Center
mlmcdona <at> nps.edu
The mission of the Simulation Experiments and Efficient Designs (SEED) Center for Data Farming is to advance the collaborative development and use of simulation experiments and efficient designs to provide decision makers with timely insights on complex systems and operations. The SEED approach has been to advance the state-of-the-art in conducting large-scale simulation studies, by developing and disseminating experimental designs that facilitate the exploration of complex simulation models.
The SEED philosophy is that there are three basic goals for simulation experiments:
My personal research interests lie in agent-based and discrete event simulation, complex adaptive systems, and analysis of high-dimensional data resulting from large-scale experimentation on models and simulations. I am interested in statistical and machine learning approaches to agent/simulation design as well as output analysis.
I enjoy working with our thesis students, applying our methods to specific problems, as well as teaching and research.
Research Interests
Teaching
