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Sae Young Ahn

Assistant Professor
Manpower and Economics

Phone: (831) 656-2470
NPS Experience
  • 2017 - current: Assistant Professor

Awards

  • 2024 - Louis D. Liskin Award for Teaching Excellence

Scholarly Work

Publications
  • Technical Reports
  • Arkes, J. A., Ahn, S., Menichini, A. A., & Gates, W. R, (2019). Retention Analysis Model (RAM) for Navy Manpower Anaysis.
  • Ahn, S., Menichini, A. A., & Tick, S. L, (2019). Retention Analysis Model (RAM) for Manpower and Personnel Analysis.
  • Ahn, S., & Menichini, A. A, (2020). Retention Analysis Modeling for the Acquisition Workforce.
  • Journal Articles
  • Ahn, S., Niven, J., & Veilleux, A, (2021). How Long Have You Been Waiting? Explaining the Role of Irrelevant Information in the Promotion of U.S. Navy Officers. Economics Bulletin, 2(41), 604-614.
  • Technical Reports
  • Ahn, S., & Menichini, A. A, (2021). Retention Analysis Modeling for the Acquisition Workforce II.
  • Journal Articles
  • Ahn, S., Sandford, J., & Shea, P, (2023). Lethality and Deterrence in Affairs of Honor. Rationality and Society, 3(35), 259-292.
  • Ahn, S., & Menichini, A. A, (2021). Optimal Long-Run Talent Management of the Department of Defense Acquisition Workforce in Response to COVID-19: A Dynamic Programming Approach. Defense Acquisition Research Journal, 1(29), 50–77.
  • Ahn, S., Cole, S., Fan, J. J., & Griffin, C, (2023). Analysis of Separation Behavior Using Machine Learning: The Case of Australian Navy Sailors. Military Operations Research Journal, 2(28), 23-54.
  • Technical Reports
  • Shen, Y., Ahn, S., & Knutson, M, (2022). Applying predictive analytics as screening tools in medical review process in the United States Military Entrance Processing Command: Phase I report.
  • Journal Articles
  • Ahn, S., Cunha, J., & Veith, P, Information Transmission in Groups: Peer Influence in High-stakes, Irreversible Financial Decisions. Review of Economics and Statistics.
  • Technical Reports
  • Ahn, S., & Fan, J, (2022). Machine Learning in AWF Talent Management: New Approaches to Prediction of Workforce Retention and Promotion.
  • Ahn, S., & Menichini, A. A, (2022). Individualized and Optimal Talent Management of the AWF in Response to COVID-19: Dynamic Programming Approach.
  • Ahn, S., & Hartmann, L, (2022). Performance Evaluation Needs Assessment.
  • Ahn, S., & Hartmann, L, (2023). Determinants of Navy Performance Evaluation Records.