HR job title
- Professor and Head
- Contact Info
- 1 979 458 2360
- Websites
Ntaimo, Lewis Professor
Positions
Dr. Ntaimo's research interests are in stochastic programming, systems modeling and engineering processes, and discrete event modeling and simulation. Applications of interest include wildfire planning, healthcare, wind energy, and homeland security.
- Overview
- Publications
- Research
- Teaching
- Works By Students
- Background
- Contact
- Other
- View All
Overview
Publications
selected publications
-
academic article
-
Yang, H., Yang, H., Rhodes, N., Roald, L., & Ntaimo, L.
(2024).
Multistage stochastic program for mitigating power system risks under wildfire disruptions. Electric Power Systems Research.
234, 110773-110773.
-
Gong, J., & Ntaimo, L.
(2024).
Community health pathways modeling and scheduling under uncertainty. Health Informatics Journal.
30(1), 14604582241231451.
-
Venkatachalam, S., & Ntaimo, L.
(2023).
Integer set reduction for stochastic mixed-integer programming. Computational Optimization and Applications.
85(1), 181-211.
-
Piazza, A., Pagnoncelli, B. K., & Ntaimo, L.
(2022).
What is the optimal cutoff surface for ore bodies with more than one mineral. Operations Research Letters.
50(2), 137-144.
-
Gujjula, K. R., Gong, J., Segundo, B., & Ntaimo, L.
(2022).
COVID-19 vaccination policies under uncertain transmission characteristics using stochastic programming. PLoS ONE.
17(7), e0270524-e0270524.
-
Rhodes, N., Ntaimo, L., & Roald, L.
(2021).
Balancing Wildfire Risk and Power Outages Through Optimized Power Shut-Offs. IEEE TRANSACTIONS ON POWER SYSTEMS.
36(4), 3118-3128.
-
Prakash, A., Panchang, V., Ding, Y. u., & Ntaimo, L.
(2020).
Sign Constrained Bayesian Inference for Nonstationary Models of Extreme Events. Journal of Waterway, Port, Coastal and Ocean Engineering.
146(5), 04020029.
-
Kwon, S., Ntaimo, L., & Gautam, N.
(2019).
Demand Response in Data Centers: Integration of Server Provisioning and Power Procurement. IEEE Transactions on Smart Grid.
10(5), 4928-4938.
-
Valicka, C. G., Garcia, D., Staid, A., Watson, J., Hackebeil, G., Rathinam, S., & Ntaimo, L.
(2019).
Mixed-integer programming models for optimal constellation scheduling given cloud cover uncertainty. European Journal of Operational Research.
275(2), 431-445.
-
Canessa, G., Gallego, J. A., Ntaimo, L., & Pagnoncelli, B. K.
(2019).
An algorithm for binary linear chance-constrained problems using IIS. Computational Optimization and Applications.
72(3), 589-608.
-
Alvarado, M., & Ntaimo, L.
(2018).
Chemotherapy appointment scheduling under uncertainty using mean-risk stochastic integer programming. Health Care Management Science.
21(1), 87-104.
-
Alvarado, M. M., Cotton, T. G., Ntaimo, L., Perez, E., & Carpentier, W. R.
(2018).
Modeling and simulation of oncology clinic operations in discrete event system specification. Simulation.
94(2), 105-121.
-
Alvarado, M. M., Cotton, T. G., Ntaimo, L., Prez, E., & Carpentier, W. R.
(2018).
Modeling and simulation of oncology clinic operations in discrete event system specification. 94, 105-121.
-
Kwon, S., Ntaimo, L., & Gautam, N.
(2017).
Optimal Day-Ahead Power Procurement With Renewable Energy and Demand Response. IEEE TRANSACTIONS ON POWER SYSTEMS.
32(5), 3924-3933.
-
Karan, E., Asadi, S., & Ntaimo, L.
(2016).
A stochastic optimization approach to reduce greenhouse gas emissions from buildings and transportation. Energy.
106(C), 367-377.
-
Beier, E., Venkatachalam, S., Leon, V. J., & Ntaimo, L.
(2016).
Nodal decomposition-coordination for stochastic programs with private information restrictions. IIE Transactions.
48(3), 283-297.
-
Cotton, T. G., & Ntaimo, L.
(2015).
Computational study of decomposition algorithms for mean-risk stochastic linear programs. Mathematical Programming Computation.
7(4), 471-499.
-
Beier, E., Venkatachalam, S., Corolli, L., & Ntaimo, L.
(2015).
Stage- and scenario-wise Fenchel decomposition for stochastic mixed 0-1 programs with special structure. Computers & Operations Research.
59, 94-103.
-
Perez, E., Ntaimo, L., & Ding, Y. u.
(2015).
Multi-component wind turbine modeling and simulation for wind farm operations and maintenance. Simulation.
91(4), 360-382.
-
Corolli, L., Lulli, G., & Ntaimo, L.
(2014).
The time slot allocation problem under uncertain capacity. Transportation Research Part C: Emerging Technologies.
46, 16-29.
-
Lee, G., Byon, E., Ntaimo, L., & Ding, Y. u.
(2013).
BAYESIAN SPLINE METHOD FOR ASSESSING EXTREME LOADS ON WIND TURBINES. Annals of Applied Statistics.
7(4), 2034-2061.
-
Prez, E., Ntaimo, L., Malav, C. O., Bailey, C., & McCormack, P.
(2013).
Stochastic online appointment scheduling of multi-step sequential procedures in nuclear medicine. Health Care Management Science.
16(4), 281-299.
-
Arrubla, J., Ko, Y. M., Polansky, R. J., Perez, E., Ntaimo, L., & Gautam, N.
(2013).
Integrating virtualization, speed scaling, and powering on/off servers in data centers for energy efficiency. IIE Transactions.
45(10), 1114-1136.
-
Ntaimo, L., Gallego-Arrubla, J. A., Gan, J., Stripling, C., Young, J., & Spencer, T.
(2013).
Simulation and Stochastic Integer Programming Approach to Wildfire Initial Attack Planning. Forest Science.
59(1), 105-117.
-
Ntaimo, L.
(2013).
Fenchel decomposition for stochastic mixed-integer programming. Journal of Global Optimization.
55(1), 141-163.
-
Alvarado, M. M., Ntaimo, L., Kianfar, K., & Banerjee, A.
(2012).
Erratum. IIE Transactions on Healthcare Systems Engineering.
2(3), 232-232.
-
Ntaimo, L., Arrubla, J., Stripling, C., Young, J., & Spencer, T.
(2012).
A stochastic programming standard response model for wildfire initial attack planning. Canadian Journal of Forest Research.
42(6), 987-1001.
-
Alvarado, M. M., Ntaimo, L., Banerjee, A., & Kianfar, K.
(2012).
Reducing pediatric medication errors: A survey and taxonomy. IIE Transactions on Healthcare Systems Engineering.
2(2), 142-155.
-
Byon, E., Prez, E., Ding, Y. u., & Ntaimo, L.
(2011).
Simulation of wind farm operations and maintenance using discrete event system specification. Simulation.
87(12), 1093-1117.
-
Byon, E., Perez, E., Ding, Y. u., & Ntaimo, L.
(2011).
Simulation of wind farm operations and maintenance using discrete event system specification. Simulation.
87(12), 1093-1117.
-
Prez, E., Ntaimo, L., Wilhelm, W. E., Bailey, C., & McCormack, P.
(2011).
Patient and resource scheduling of multi-step medical procedures in nuclear medicine. IIE Transactions on Healthcare Systems Engineering.
1(3), 168-184.
-
Tanner, M. W., & Ntaimo, L.
(2010).
IIS branch-and-cut for joint chance-constrained stochastic programs and application to optimal vaccine allocation. European Journal of Operational Research.
207(1), 290-296.
-
Trukhanov, S., Ntaimo, L., & Schaefer, A.
(2010).
Adaptive multicut aggregation for two-stage stochastic linear programs with recourse. European Journal of Operational Research.
206(2), 395-406.
-
Byon, E., Ntaimo, L., & Ding, Y. u.
(2010).
Optimal Maintenance Strategies for Wind Turbine Systems Under Stochastic Weather Conditions. IEEE Transactions on Reliability.
59(2), 393-404.
-
Ntaimo, L.
(2010).
Disjunctive Decomposition for Two-Stage Stochastic Mixed-Binary Programs with Random Recourse. Operations Research.
58(1), 229-243.
-
Tanner, M. W., Sattenspiel, L., & Ntaimo, L.
(2008).
Finding optimal vaccination strategies under parameter uncertainty using stochastic programming. Mathematical Biosciences.
215(2), 144-151.
-
Ntaimo, L., & Sen, S.
(2008).
A comparative study of decomposition algorithms for stochastic combinatorial optimization. Computational Optimization and Applications.
40(3), 299-319.
-
Ntaimo, L., & Tanner, M. W.
(2008).
Computations with disjunctive cuts for two-stage stochastic mixed 0-1 integer programs. Journal of Global Optimization.
41(3), 365-384.
-
Ntaimo, L., Hu, X., & Sun, Y. i.
(2008).
DEVS-FIRE: Towards an integrated simulation environment for surface wildfire spread and containment. Simulation.
84(4), 137-155.
-
Ntaimo, L., & Sen, S.
(2007).
A branch-and-cut algorithm for two-stage stochastic mixed-binary programs with continuous first-stage variables. International Journal of Computational Science and Engineering.
3(3), 232-241.
-
Ntaimo, L., & Sen, S.
(2005).
The million-variable "march" for stochastic combinatorial optimization. Journal of Global Optimization.
32(3), 385-400.
-
Ntaimo, L., Zeigler, B. P., Vasconcelos, M. J., & Khargharia, B.
(2004).
Forest fire spread and suppression in DEVS. Simulation.
80(10), 479-500.
-
Kabli, M., Gan, J., & Ntaimo, L.
A Stochastic Programming Model for Fuel Treatment Management. Forests.
6(6), 2148-2162.
-
Hebaish, Y., Chatterjee, S., Deegear, J., Rucker, M., Aprahamian, H., & Ntaimo, L.
A data-driven simulation approach to quantify the effect of group counseling on system performance of college counseling centers. Journal of American College Health.
ahead-of-print(ahead-of-print), 1-15.
-
Chatterjee, S., Hebaish, Y., Ntaimo, L., Deegear, J., Rucker, M., & Aprahamian, H.
A quantitative simulation-based modeling approach for college counseling centers. Simulation.
99(8), 791-815.
-
Gong, J., Gujjula, K. R., & Ntaimo, L.
An integrated chance constraints approach for optimal vaccination strategies under uncertainty for COVID-19. Socio-Economic Planning Sciences.
87, 101547-101547.
-
Lagos, T., Choi, J., Segundo, B., Gan, J., Ntaimo, L., & Prokopyev, O. A.
Bilevel optimization approach for fuel treatment planning. European Journal of Operational Research.
320(1), 205-218.
-
Hu, X., Sun, Y. i., & Ntaimo, L.
DEVS-FIRE: design and application of formal discrete event wildfire spread and suppression models. Simulation.
88(3), 259-279.
-
Hu, X., & Ntaimo, L.
Integrated Simulation and Optimization for Wildfire Containment. ACM Transactions on Modeling and Computer Simulation.
19(4), 1-29.
-
Perez, E., Ntaimo, L., Bailey, C., & McCormack, P.
Modeling and Simulation of Nuclear Medicine Patient Service Management in DEVS. Simulation.
86(8-9), 481-501.
-
Yang, H., Rhodes, N., Yang, H., Roald, L., & Ntaimo, L.
Multi-Period Power System Risk Minimization Under Wildfire Disruptions. IEEE TRANSACTIONS ON POWER SYSTEMS.
39(5), 6305-6318.
-
Khatami, M., Silva, T., Pagnoncelli, B. K., & Ntaimo, L.
Risk-averse multistage stochastic programs with expected conditional risk measures. Computers & Operations Research.
172, 106802-106802.
-
Yang, H., Yang, H., Rhodes, N., Roald, L., & Ntaimo, L.
(2024).
Multistage stochastic program for mitigating power system risks under wildfire disruptions. Electric Power Systems Research.
234, 110773-110773.
-
book
-
Ntaimo, L.
(2024).
Computational Stochastic Programming, Models, Algorithms, and Implementation. Ed. 774.
Springer Nature.
-
Sen, S., Higle, J. L., & Ntaimo, L.
(2003).
A Summary and Illustration of Disjunctive Decomposition with Set Convexification. Ed. 22.
Springer Nature.
-
Ntaimo, L.
(2024).
Computational Stochastic Programming, Models, Algorithms, and Implementation. Ed. 774.
Springer Nature.
-
conference paper
-
Corolli, L., Lulli, G., Ntaimo, L., & Venkatachalam, S.
(2017).
A two-stage stochastic integer programming model for air traffic flow management. IMA Journal of Management Mathematics.
19-40.
-
Perez, E., Ntaimo, L., & Ding, Y. u.
(2013).
SIMULATION OF WIND FARM OPERATIONS AND MAINTENANCE. v008t44a007-v008t44a007.
-
Prez, E., Ntaimo, L., Byon, E., & Ding, Y.
(2010).
A stochastic DEVS wind turbine component model for wind farm simulation. Simulation Series.
20-27.
-
Byon, E., Ntaimo, L., & Ding, Y. u.
(2009).
OPTIMAL MAINTENANCE STRATEGIES FOR WIND TURBINE SYSTEMS. 75-79.
-
Gu, F., Hu, X., & Ntaimo, L.
(2008).
Towards validation of DEVS-FIRE wildfire simulation model. 355-361.
-
Ntaimo, L., Lee, W. J., & Jalora, A.
(2006).
A stochastic mixed-integer programming approach to optimal resource allocation for wildfire containment
-
Hu, X., & Ntaimo, L.
(2006).
Dynamic multi-resolution cellular space modeling for forest fire simulation. Simulation Series.
95-102.
-
Ntaimo, L., & Khargharia, B.
(2006).
Two-dimensional fire spread decomposition in cellular DEVS models. Simulation Series.
103-109.
-
Ntaimo, L., & Zeigler, B. P.
(2005).
Integrating fire suppression into a DEVS cellular forest fire spread model. Simulation Series.
48-54.
-
Hu, X. L., Muzy, A., & Ntaimo, L.
(2005).
A hybrid agent-cellular space modeling approach for fire spread and suppression simulation. Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference.
248-255.
-
Yu, L., & Ntaimo, L.
(2004).
Distributed computing system for multi-stage stochastic programs. 189-194.
-
Ntaimo, L., & Yu, L.
(2004).
Distributed discrete optimization under uncertainty. 183-188.
-
Khargharia, B., Hariri, S., Parashar, M., Ntaimo, L., & Kim, B. U.
(2003).
vGrid: A framework for building autonomic applications. 19-26.
-
Prez, E., Ntaimo, L., Byon, E., & Ding, Y. u.
A stochastic DEVS wind turbine component model for wind farm simulation. 1-8.
-
Sundar, K., Qin, J., Rathinam, S., Ntaimo, L., Darbha, S., & Valicka, C.
Algorithms for a Satellite Constellation Scheduling Problem. IEEE International Conference on Automation Science and Engineering (CASE) : [proceedings]. IEEE Conference on Automation Science and Engineering.
373-378.
-
Corolli, L., Lulli, G., Ntaimo, L., & Venkatachalam, S.
(2017).
A two-stage stochastic integer programming model for air traffic flow management. IMA Journal of Management Mathematics.
19-40.
-
institutional repository document
-
Chatterjee, S., Hebaish, Y., Ntaimo, L., Deegear, J., Rucker, M., & Aprahamian, H.
A Quantitative Simulation-based Modeling Approach for College Counseling Centers
-
Yang, H., Rhodes, N., Yang, H., Roald, L., & Ntaimo, L.
Multi-period Power System Risk Minimization under Wildfire Disruptions
-
Yang, H., Rhodes, N., Yang, H., Roald, L., & Ntaimo, L.
Multistage Stochastic Program for Mitigating Power System Risks under Wildfire Disruptions
-
Chatterjee, S., Hebaish, Y., Ntaimo, L., Deegear, J., Rucker, M., & Aprahamian, H.
A Quantitative Simulation-based Modeling Approach for College Counseling Centers
Research
principal investigator on
Teaching
teaching activities
- ISEN440 Systems Thinking Instructor
- ISEN491 Hnr-research Instructor
- ISEN491 Hnr-research Instructor
- ISEN623 Non-linear & Dyn Prog Instructor
- ISEN636 Large-scale Stoch Optim Instructor
- ISEN640 Sys Thinking Anlysis Instructor
- ISEN684 Professional Internship: In-ab Instructor
- ISEN684 Professional Internship: In-ab Instructor
- ISEN685 Directed Studies Instructor
- ISEN691 Research Instructor
- ISEN691 Research Instructor
- ISEN692 Professional Study Instructor
Works By Students
chaired theses and dissertations
-
Alvarado, Michelle (2014-11). Integrated Simulation and Optimization for Decision-Making under Uncertainty with Application to Healthcare.
-
Beier, Eric (2012-02). Subgradient-based Decomposition Methods for Stochastic Mixed-integer Programs with Special Structures.
-
Cotton, Tanisha Green (2013-05). Computational Study of Mean-Risk Stochastic Programs.
-
Gallego Arrubla, Julian Andres (2013-07). Irreducible Infeasible Subsystem Decomposition for Probabilistically Constrained Stochastic Integer Programs.
-
Kabli, Mohannad Reda A (2014-04). Stochastic Programming Model for Fuel Treatment Management.
-
Lee, Won Ju (2009-06). A stochastic mixed integer programming approach to wildfire management systems.
-
Perez Roman, Eduardo (2011-08). Simulation and Optimization Models for Scheduling Multi-step Sequential Procedures in Nuclear Medicine.
-
Tanner, Matthew W. (2010-01). New Solution Methods for Joint Chance-Constrained Stochastic Programs with Random Left-Hand Sides.
-
Venkatachalam, Saravanan (2014-08). Algorithms for Stochastic Integer Programs Using Fenchel Cutting Planes.
Background
education and training
- Ph.D. in Systems and Industrial Engineering, minor in Electrical and Computer Engineering, University of Arizona - (Tucson, Arizona, United States) 2004
- M.S. in Mining and Geological Engineering, University of Arizona - (Tucson, Arizona, United States) 2000
- B.S. in Mining Engineering, University of Arizona - (Tucson, Arizona, United States) 1998
awards and honors
- Marilyn and L. David Black Faculty Fellow in Industrial and Systems Engineering, conferred by Texas A&M University - (College Station, Texas, United States), 2016
- INFORMS Computing Society/ICS Prize, conferred by Institute for Operations Research and the Management Sciences - (Catonsville, Maryland, United States), 2015
Contact
first name
- Lewis
has last name
- Ntaimo
mailing address
-
Texas A&M University
Industrial Engineering
3131 TAMU
College Station, TX 77843-3131
USA
Other
In the News
- Fighting Wildfires With Fuel Treatment Strategies News Release
- ntaimo@tamu.edu