Dashi Singham, Ph.D.

Research Assistant Professor
Operations Research Department
Naval Postgraduate School

 
  • About
  • Publications

Education

  • PhD in Industrial Engineering and Operations Research — University of California, Berkeley, 2010
  • MA in Statistics — University of California, Berkeley, 2009
  • BSE in Operations Research and Financial Engineering (with High Honors) — Princeton University, 2004

Work Experience

  • 2010 — Present, Research Assistant Professor in Operations Research at NPS
  • 2004 —2006, Risk Analyst at Merrill Lynch

Teaching Course Load and Interests

  • OS3180 - Probability and Statistics for Systems Engineering
  • OS3380 - Combat Systems Simulation
  • OA3302 - Simulation Modeling

Research Interests

  • Simulation Output Analysis and Methodology
  • Applied Probability
  • Statistics

Honors and Awards

  • NSF Graduate Research Fellowship (2007-2010)
  • Outstanding Graduate Student Instructor Award (UC Berkeley, 2008)
  • CUMW Award (Informs Simulation Society, 2008)

Other activities

  • Associate Editor, IIE Transactions (2013 - )
  • Reviewer for IJOC, NRL, ACM-TOMACS, Operations Research
  • Chair and Member, CUMW Committee, Informs Simulation Society (2012-2014)

Papers

  • Singham, D.I., M.P. Atkinson. Estimating Cumulative Mean Process Behavior Using Standardized Time Series. In preparation.
  • Lin, K.Y., D.I. Singham. A Classical Search Model Revisited: Robust Search Policies Against an Intelligent Evader. In preparation.
  • Atkinson, M.P., D.I. Singham. Multidimensional Hitting Time Results for Brownian Bridges with Moving Hyperplanar Boundaries. Pre-print.
  • Singham, D.I., W. Cai, and J.A. White. Optimal Carbon Capture and Storage Contracts Using Historical CO2 Emissions Levels. Pre-print.
  • Singham, D.I. 2014. Selecting Stopping Rules for Confidence Interval Procedures. ACM Transactions on Modeling and Computer Simulation. Vol 24, No 3, Article 18.
  • Cai, W., D.I. Singham, E.M. Craparo, J.A. White. 2014. Pricing Contracts Under Uncertainty in a Carbon Capture and Storage Framework. Energy Economics, Vol 34, No 1, pp 56-62.
  • Schruben, L.W., and D.I. Singham. 2014. Data-driven Simulation of Complex Multidimensional Time Series. ACM Transactions on Modeling and Computer Simulation. Vol 24, No 1, Article 5.
  • Batarseh, O., and D.I. Singham. 2013. Interval-Based Simulation to Model Input Uncertainty in Stochastic Lanchester Models. Military Operations Research Vol 18, No 1, pp 61-76.
  • Singham, D.I., and L.W. Schruben. 2012. Finite-Sample Behavior of Absolute Precision Stopping Rules. INFORMS Journal on Computing Vol 24, No 4, pp 624-635.

Refereed Conference Papers

  • Singham, D.I., J.O. Royset, R. J-B Wets. 2013. Density Estimation of Simulation Output Using Exponential Epi-Splines. Proceedings of the 2013 Winter Simulaton Conference.
  • White, J.A., D.I. Singham. 2012. Slope Stability Assessment Using Stochastic Rainfall Simulation. Proceedia Computer Science.
  • Schruben, L.W., D.I. Singham. 2011. Agent Based Output Analysis. Proceedings of the 2011 Winter Simulation Conference.
  • Singham, D.I., M.A. Thompson, L.W. Schruben. 2011. Applications of Flocking Algorithms to Input Modeling for Agent Movement. Proceedings of the 2011 Winter Simulation Conference.
  • Schruben, L.W. and Singham, D.I. 2010. Simulating Multivariate Time Series Using Flocking. In Proceedings of the 2010 Winter Simulation Conference.
  • Singham, D.I., L.W. Schruben. 2009. Analysis of Sequential Stopping Rules. Proceedings of the 2009 Winter Simulation Conference.

Theses

  • Singham, D.I. 2010. Analysis of Sequential Stopping Rules for Simulation Experiments. Ph.D. Thesis, Department of Industrial Engineering and Operations Research, UC Berkeley. Advisor: Lee Schruben.
  • Singham, D.I. 2009. Exploratory Data Analysis of Some Public Transportation Data and Simulation of Holding Policies. M.A. Thesis, Department of Statistics, UC Berkeley. Advisor: David Brillinger.
  • Singham, D.I. 2004. The Option to Abandon As Applied to the Sequential Investment Problem, Department of Operations Research and Financial Engineering, Princeton University. Advisor: Savas Dayanik.

GL-261
831-656-7836

Mail Code: OR
Operations Research Department
Naval Postgraduate School
Monterey, CA 93943

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