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Regnier

Eva D. Regnier, Associate Professor

Eva D. Regnier, is an Associate Professor of Decision Science. She holds a Ph.D. in Industrial Engineering and a M.S. in Operations Research from the Georgia Institute of Technology, and a B.S. from Massachusetts Institute of Technology. Her research is in decision making under uncertainty, with a focus on characterizing environmental uncertainty to support both optimization and judgmental decision making. She has studied the value of weather forecasts in making evacuation and other decisions, and has worked on energy and natural resources decisions. Her recent work on energy issues in the Department of Defense includes developing methods to estimate the system-wide impacts of energy use in forward positions and methods to estimate the value of technology demonstration projects in informing and improving future use of developing technologies. Her work has been funded by the National Science Foundation and the Office of Naval Research.

Curriculum Vitae (.pdf)

NPS Faculty Web Page

Selected Publications:

Simon, J.A., Regnier, E. & Whitney, L.K. (2014). A value-focused approach to energy transformation in the United States Department of Defense. Decision Analysis 11(2):117-132.

Slootmaker, L.A., Regnier, E., Hansen, J.A., & Lucas, T.W. (2013). User focus and simulation improve predictions of piracy risk. Interfaces 43(3):256-267.

Regnier, E.D. & Shechter, S.M. (2013). State-space size considerations for disease-progression models . Statistics in Medicine 32(22):3862-3880.

Regnier, E. (2008). Public evacuation decisions and hurricane track uncertainty. Management Science 54(1): 16-28.

Regnier, E. (2007). Oil and energy price volatility. Energy Economics 29(3): 405-427.

Regnier, E. & Harr, P.A. (2006). A dynamic decision model applied to hurricane landfall. Weather and Forecasting 21(5): 764-780.

Regnier, E., Sharp, G, & Tovey, A. (2004). Replacement under ongoing technological progress. IIE Transactions 36(6): 497-508.

Contact: eregnier@nps.edu, or (831) 656-2912

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