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Nagi Gebraeel is a Georgia Power Professor at the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He completed his Ph.D. in Industrial Engineering in 2003 and his M.S. in Industrial Engineering in 1998, both from Purdue University. His research focuses on Predictive Analytics, Machine Learning, and IoT-enabled maintenance and service logistics. He specializes in developing statistical learning algorithms for real-time diagnostics and prognostics of equipment, as well as optimization models for operational decision-making in IoT ecosystems. His work extends to developing cybersecurity algorithms for IoT-enabled critical assets against cyberattacks on Industrial Control Systems. His application domains include manufacturing and power generation, with recent interests in creating Self-Aware Deep Space Habitats for NASA. He leads the Predictive Analytics Intelligent Systems (PAIS) research group and manages the Analytics Prognostics Systems laboratory at Georgia Tech's Manufacturing Institute. Previously, he served as the Associate Director of Georgia Tech's Strategic Energy Institute from 2014 to 2019, promoting research initiatives at the intersection of Data Science and Energy applications.
Georgia Institute of Technology • Atlanta, GA
Nagi Gebraeel serves as a Georgia Power Professor and leads multiple research initiatives in Predictive Analytics and Machine Learning.
Department of Computer Science: GRE scores are optional for Fall 2026.