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Teaching and Research Interests
Dr. Regnier's primary teaching responsibility is executive education for mid-level and senior public-sector managers from the U.S. and around the world. Her teaching has taken her to Central and South America, Europe, Africa, and Asia. Her teaching interests include probability and statistics, risk analysis and management, multiple-criteria decision-making, psychology of decision-making, and logistics management.
Dr. Regnier's research is in decision analysis, with a particular focus on modeling uncertainty for decision support. Her recent work includes cost-benefit analysis of energy technology demonstration projects, estimating the logistics burden of self-sustaining supply networks, and evaluating sequences of probabilistic forecasts for events including tropical cyclones. Her work has been funded by the Office of Naval Research and the National Science Foundation.
- Ph.D. in Industrial Engineering from Georgia Institute of Technology, 2001
- M.S. in Operations Research from Georgia Institute of Technology, 2001
- B.S. in Environmental Engineering Science from Massachusetts Institute of Technology, 1992
- 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.