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A student wearing a Texas A&M class ring points to data on a lab monitor
Behind every efficient hospital, on-time flight, and well-run supply chain is a set of hard math problems — and OR is how we solve them. ISEN faculty use optimization, probability, simulation, and machine learning to help complex systems make smarter decisions, with real-world impact across energy, healthcare, transportation, supply chains, manufacturing, and public policy.

Mathematical Optimization & Algorithms

Faculty design the mathematical models and algorithms used to solve complex optimization problems — including problems that are large-scale, nonlinear, or involve many interacting variables. This work forms the foundation for improving efficiency in systems like networks, supply chains, and resource allocation.

 

Stochastic Systems, Simulation & Uncertainty

Many real systems involve unpredictability — fluctuating demand, random failures, variable wait times. Faculty develop probability-based and simulation models to help understand, predict, and manage systems affected by uncertainty and risk.

 

Data-Driven Operations Research & Learning

This combines machine learning with optimization to turn data into decisions — not just predicting outcomes, but recommending actions. Work here includes reinforcement learning, data-driven optimization, and other methods that use data to guide better decision-making.

 

Networks, Games & Distributed Decision-Making

Some systems involve multiple decision-makers whose choices affect one another. Faculty study how network structure and strategic interaction shape outcomes, drawing on game theory, multi-agent systems, and distributed computing.
Student in a lab coat smiles as he works on his project

Hrayer Aprahamian

  • Assistant Professor, Industrial & Systems Engineering
Hrayer Aprahamian

Sergiy Butenko

  • Professor, Industrial & Systems Engineering
  • Liollio Family Faculty Fellow, Industrial & Systems Engineering
Sergiy Butenko

David Eckman

  • Assistant Professor, Industrial & Systems Engineering
David Eckman

Ceyhun Eksin

  • Associate Professor, Industrial & Systems Engineering
  • Corrie and Jim Furber '64 Faculty Fellow
  • Affiliated Faculty, Electrical & Computer Engineering
Ceyhun Eksin

Richard M. Feldman

  • Senior Professor, Industrial & Systems Engineering
  • Professor Emeritus
Richard M. Feldman

Alfredo Garcia

  • Professor, Industrial & Systems Engineering
  • Holder of the Mike and Sugar Barnes Professorship III, Industrial & Systems Engineering
Alfredo Garcia

Joe Geunes

  • Associate Department Head for Graduate Affairs, Industrial & Systems Engineering
  • Professor, Industrial & Systems Engineering
  • Mike and Sugar Barnes Professor
Joe Geunes

Petar Momcilovic

  • Associate Professor, Industrial & Systems Engineering
Petar Momcilovic

Erick Moreno-Centeno

  • Professor, Industrial & Systems Engineering
  • Mike & Sugar Barnes Faculty Fellow
Erick Moreno-Centeno

Lewis Ntaimo

  • Professor, Industrial & Systems Engineering
Lewis Ntaimo

Shixuan Zhang

  • Assistant Professor, Industrial & Systems Engineering
Shixuan Zhang