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David P. Morton

David Morton is the Engineering Foundation Professor #1 in the Graduate Program in Operations Research & Industrial Engineering in the Mechanical Engineering Department at The University of Texas at Austin. He has an MS and PhD in Operations Research from Stanford University and a BS in Mathematics and Physics from Stetson University. Prior to joining the faculty at UT-Austin, Dr. Morton was a National Research Council Postdoctoral Fellow at the Naval Postgraduate School. Dr. Morton specializes in stochastic and large-scale optimization. He has applied research interests in security, energy, and public health. He is the recipient of an IIE Research Conference Best Track Paper Award in Logistics & Inventory, the Rist Prize from the Military Operations Research Society, a National Science Foundation PECASE Award, and the George E. Nicholson Prize. Dr. Morton worked as a Fulbright Research Scholar at Charles University in Prague, was named a Distinguished Graduate of the Physics Department at Stetson University, was a finalist for the EURO Excellence in Practice Paper Prize, and was a finalist for the George B. Dantzig Dissertation Award. He has chaired the Mathematical Optimization Society's Committee on Stochastic Programming, the INFORMS Computing Society's Student Paper Award Committee, and the George E. Nicholson Paper Competition Committee. He has served an associate editor for Operations Research and Naval Research Logistics.

Selected Publications

  1. Bayraksan, G., and Morton, D.P., "A sequential sampling procedure for stochastic programming", Operations Research, Vol. 59, (2010), pp. 898-913

Most Recent Publications

  1. de Queiroz, A.R., and Morton, D.P., "Sharing Cuts under Aggregated Forecasts when Decomposing Multi-stage Stochastic Programs," Operations Research Letters, Vol. 41, (2013), pp. 311-316
  2. Sullivan, K.M., Smith, J.C., and Morton, D.P., "Convex Hull Representation of the Deterministic Bipartite Network Interdiction Problem," Mathematical Programming, ()
  3. Rengarajan, T., Dimitrov, N.B., and Morton, D.P., "Convex Approximations of a Probabilistic Bicriteria Model with Disruptions," INFORMS Journal On Computing, Vol. 25, (2013), pp. 147-160
  4. Morton, D.P., and Popova, I., "Modeling Hedge Fund Leverage via Power Utility with Subsistence," Journal Of Derivatives And Hedge Funds, Vol. 19, (2013), pp. 77-85
  5. Koc, A., and Morton, D.P., "Prioritization via Stochastic Optimization ," Management Science, ()
  6. F. Tanrisever, D. Morrice, and D.P. Morton, "Managing capacity flexibility in make-to-order production environments," European Journal Of Operational Research, Vol. 216, (2012), pp. 334-345
  7. Dimitrov, N.B., Morton, D.P., and, Sarkar, S., "Selecting Malaria Interventions: A Top-down Approach," Computers And Operations Research, (2011)
  8. Dimitrov, N.B., Michalopoulos, D.P., Morton, D.P., Nehme, M.V., Pan, F., Popova, E., Schneider, E.A., and Thoreson, G.G., "Network Deployment of Radiation Detectors with Physics-Based Detection Probability Calculations," Annals Of Operations Research, Vol. 187, (2011), pp. 207-228
  9. Bayraksan, G., and Morton, D.P., "A sequential sampling procedure for stochastic programming," Operations Research, Vol. 59, (2010), pp. 898-913
  10. Salmeron, J., Wood, R.K., and Morton, D.P., "A Stochastic Program for Optimizing Military Sealift Subject to Attack," Military Operations Research, Vol. 14, (2009), pp. 19-39