Nagi Gebraeel

Georgia Power Professor

Contact

 Groseclose 320
 404.894.0054
 Personal website
  Contact
  • Nagi Gebraeel Google Scholar

Education

  • Ph.D. Industrial Engineering (2003), Purdue University
  • M.S. Industrial Engineering (1998), Purdue University
  • B.S. Production Engineering (1995), University of Alexandria, Egypt

Expertise

  • Equipment Predictive Analytics
  • Machine Learning
  • Reliability and Maintainability Engineering
  • Power Generation Applications
  • Manufacturing Applications

About

Dr. Gebraeel is the Georgia Power Early Career Professor in the H. Milton Stewart School of Industrial and Systems Engineering.  He leads the Predictive Analytics and Intelligent Systems (PAIS) research group at Georgia Tech's Supply Chain and Logistics Institute. Dr. Gebraeel is a Fellow of the Institute of Industrial and Systems Engineers (IISE) and served as the former president of the IISE Quality and Reliability Engineering Division. He is also a member of the Institute for Operations Research and the Management Sciences (INFORMS).  At the college level, Dr. Gebraeel served as an associate director at Georgia Tech's Strategic Energy Institute (from 2014 to 2019), where he was responsible for identifying and promoting research initiatives and thought leadership at the intersection of Data Science and Energy applications.

Research

Dr. Gebraeel's research focuses on developing federated, causal representation learning methods for trustworthy decisions for reliable and resilient operations of distributed industrial systems. He pursues two complementary research thrusts: (1) advancing statistical and machine learning methodology for robust, uncertainty-aware learning and inference in dynamical systems, motivated by real-time industrial asset monitoring, diagnostics, and prognostics; and (2) designing data-driven and robust optimization models that operationalize these insights to maximize system availability, and optimize repair operations and logistics.

Teaching

Dr. Gebraeel enjoys teaching courses in reliability engineering and survival analysis, engineering statistics, and industrial predictive analytics.

Awards and Honors

  • Fellow Award of the Institute of Industrial and Systems Engineers (IISE)
  • Student Recognition of Excellence in Teaching: Class of 1934 Award.
  • Georgia Power Early Career Professorship
  • Chandler Family Chair
  • National Science Foundation CAREER Award

Representative Publications

  1. Rozas H., Xie W., Gebraeel N., and Robinson S. “Data-driven Joint Optimization of Maintenance and Spare Parts Provisioning: A Distributionally Robust Approach,” European Journal of Operational Research, vol. 328, no. 1, p. 122-136, 2026.
  2. Mohanty A., Dekarsek J., Joshi, S., and Gebraeel N. “Prognostic Framework for Robotic Manipulators Operating Under Dynamic Task Severities,” IEEE Transactions on Systems Man and Cybernetics: Systems, vol. 56, no. 1, p. 443-457, 2026.
  3. Ibrahim, M., Gebraeel, N., and Xie, W. “A Federated Generalized Expectation-Maximization Algorithm for Mixture Models with an Unknown Number of Components,” International Conference on Representation Learning (ICLR), 2026 https://www.arxiv.org/pdf/2601.21160
  4. Mohanty, A., Mohamed, N., Ramanan, P., and Gebraeel, N. (2025). “Federated Granger Causality Learning for Interdependent Clients with State Space Representation,” International Conference on Representation Learning (ICLR), 2025 https://arxiv.org/abs/2501.13890
  5. Karakaya, Ş., Yildirim, M., Gebraeel, N. and Xia, T., “A sensor-driven operations and maintenance planning approach for large-scale leased manufacturing systems”, International Journal of Production Research, vol. 62, no. 24, p. 8701-8718, 2024.
  6. Rozas H., Basciftci B., and Gebraeel N., “Data-driven Joint Optimization of Maintenance and Spare Parts Provisioning for Deep Space Habitats: A Stochastic Programming Approach”, Acta astronautica, vol. 214, p. 167-181, 2024. 
  7. Li D., Gebraeel N., Paynabar K., and Meliopoulos A. P. S. “An Online Approach to Cyberattack Detection and Localization in Smart Grid,”  IEEE Transactions on Power Systems, vol. 38, no. 1, p. 267-277, 2022
  8. Ramanan P., Yildirim M., and Gebraeel N., “Differentially Private Decentralized Generator Maintenance and Operations for Power Networks”, IEEE Transactions on Control of Network Systems, vol. 10, no. 2, p. 972-982, 2022.
  9. Ramanan P., Li D., and Gebraeel N. “A Decentralized Blockchain-based Cyber Threat Detection for Power Systems,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, no. 8, p. 4727-4739, 2021.
  10. Ramanan P, Yildirim M, Gebraeel N., Chow E. “Large-Scale Maintenance and Unit Commitment: A Decentralized Subgradient Approach,” IEEE Transactions on Power Systems, vol. 37, no. 1, p. 237-248, 2021.