Heraldo Rozas

Biography

I am a graduate research assistant at the Predictive Analytics & Intelligent Systems (PAIS) research group at Georgia Tech and a member of NASA's Habitat Optimized for Missions of Exploration - Space Technology Research Institute (HOME STRI). I received my BS and MS degrees in electrical engineering from the University of Chile. I am currently working toward a Ph.D. degree in Industrial Engineering – Systems Informatics and Control at the Georgia Institute of Technology under the supervision of Prof. Nagi Gebraeel. My research focuses on integrating data analytics and data-driven optimization to enable informed decision-making in various application domains, with a special emphasis on electrical equipment such as Lithium-Ion (Li-Ion) batteries, electric vehicles (EVs), and wind turbines. My objective is to leverage historical and real-time (sensor) data to make more efficient decisions on the operation, maintenance schedule, and spare parts management of electrical systems. For doing this, I have used varied optimization techniques such as Stochastic Programming, Robust Optimization, and Distributionally Robust Optimization. Furthermore, I do research in failure prognostics algorithms using machine learning, statistical, and model-based methods.