• Professor, Industrial & Systems Engineering
  • Department Head, Industrial & Systems Engineering
  • Sugar and Mike Barnes Department Head Chair, Industrial & Systems Engineering
  • Phone: 979-845-5535
  • FAX: 979-458-4299
  • Email: Ntaimo@tamu.edu
  • Office: ETB 4029
Lewis Ntaimo

Educational Background

  • Ph.D., Systems & Industrial Engineering (Minor: Electrical & Computer Engineering), University of Arizona - 2004
  • M.S., Mining & Geological Engineering, University of Arizona - 2000
  • B.S., Mining Engineering, University of Arizona, Tucson - 1998

Research Interests

    • Stochastic integer programming methods and applications.
    • Stochastic optimization and simulation with application to manufacturing, healthcare, wildfire management, mining engineering, etc.
    • Systems modeling, design and engineering processes.

Awards & Honors

  • 2016 Best Publication Award in Natural Resources, INFORMS Section on Energy, Natural Resources, and the Environment.
  • 2016 Marilyn and L. David Black Faculty Fellow in Industrial and Systems Engineering, Texas A&M University.
  • 2015 INFORMS Computing Society (ICS) Prize awarded for seminal work on stochastic mixed-integer programming.
  • 2010 George Armistead, Jr. '23 Faculty Fellow, Texas A&M University.
  • 2010 Donna and Jim Furber '64 Faculty Fellowship, Industrial and Systems Engineering, Texas A&M University.

Selected Publications

  • Byon, E., L. Ntaimo and Y. Ding, “Optimal Maintenance Strategies for Wind Turbine Systems under Stochastic Weather Conditions,” IEEE Transactions on Reliability, Vol. 59, No. 2, pp. 393-404, 2010.
  • Ntaimo, L., “Disjunctive Decomposition for Two-Stage Stochastic Mixed-Binary Programs with Random Recourse,” Operations Research, Vol. 58, No.1, pp. 229-243, 2010.
  • Ntaimo, L. “Fenchel Decomposition for Stochastic Mixed-Integer Programming,” Journal of Global Optimization, Vol. 55, pp. 141–163, 2013.
  • Gallego, J.A.*, L. Ntaimo and C. Stripling, “Wildfire Initial Response Planning Using Probabilistically Constrained Stochastic Integer Programming,” International Journal of Wildland Fire, Vol. 23, pp. 825-838, 2014.
  • Alvarado, M.M. and L. Ntaimo, “Chemotherapy appointment scheduling under uncertainty using mean-risk stochastic integer programming,” Health Care Management Science, 2016. DOI: 10.1007/s10729-016-9380-4.