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Data Science & Engineering research is supported by premier faculty and advanced computational laboratories focused on extracting insight from data and enabling intelligent decision-making in complex engineered systems. These efforts are driven by the need for scalable, data-driven, and uncertainty-aware solutions across sectors including energy systems, manufacturing, healthcare, and infrastructure. The work emphasizes data-centric modeling, predictive analytics, and computational decision-making under uncertainty. Faculty integrate statistical learning, probabilistic reasoning, and optimization methods to develop robust and interpretable solutions for real-world engineering problems.

Collectively, these efforts enable improved prediction accuracy, better decision quality under uncertainty, and enhanced system performance through integrated analytics, simulation, and optimization frameworks.

Data Analytics & Modeling

Probabilistic Modeling

Simulation

Optimization

 

Amarnath Banerjee

  • Associate Department Head for Undergraduate Affairs, Industrial & Systems Engineering
  • Professor, Industrial & Systems Engineering
Amarnath Banerjee

Satish T.S. Bukkapatnam

  • Department Head, Industrial & Systems Engineering
  • Professor, Industrial & Systems Engineering
  • Sugar and Mike Barnes Department Head Chair, Industrial & Systems Engineering
  • Regents Professor
  • Rockwell International Professor
  • Director, TEES Institute for Manufacturing Systems
Satish T.S. Bukkapatnam

David Eckman

  • Assistant Professor, Industrial & Systems Engineering
David Eckman

David Gutman

  • Assistant Professor, Industrial & Systems Engineering
David Gutman

Jaesung Lee

  • Assistant Professor, Industrial and Systems Engineering
Jaesung Lee

Erick Moreno-Centeno

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

Rui Tuo

  • Associate Professor, Industrial & Systems Engineering
  • 2022 Texas A&M Institute of Data Science Career Initiation Fellow
  • Affiliated Faculty, Department of Statistics
Rui Tuo