Lewis Ntaimo

Dr. Lewis Ntaimo is a Professor and Department Head of Industrial & Systems Engineering at Texas A&M University. He holds a Ph.D. in Systems & Industrial Engineering (with a minor in Electrical & Computer Engineering) from the University of Arizona, alongside M.S. and B.S. degrees in Mining Engineering. His research focuses on stochastic programming, optimization methods, and their applications in healthcare, wildfire management, energy systems, and operations research.

Notable awards include the Distinguished Educator Award (2022), INFORMS Computing Society Prize (2015), and the Marilyn and L. David Black Faculty Fellowship (2016). He is a Fellow of the Institute of Industrial and Systems Engineers (IISE).

Key contributions include developing stochastic models for wildfire risk mitigation, healthcare scheduling under uncertainty, and carbon capture systems. His work bridges simulation and optimization, exemplified by the DEVS-FIRE wildfire modeling framework and the SIPLIB test problem library.

• Education:
  • Ph.D., Systems & Industrial Engineering, University of Arizona (2004)
  • M.S., Mining & Geological Engineering, University of Arizona (2000)
  • B.S., Mining Engineering, University of Arizona (1998)
• Grants & Projects: Includes NSF-funded research on wildfire fuel treatment planning, space surveillance scheduling, and wind energy reliability.
• Labs/Teams: Leads research in stochastic optimization and discrete event simulation, collaborating on interdisciplinary projects with IISE and INFORMS.