Biography
I am an assistant professor in the Department of Electrical Engineering at the University of Chile. Previously, I was a graduate research assistant in the Predictive Analytics & Intelligent Systems (PAIS) research group at Georgia Tech (supervised by Prof. Nagi Gebraeel) and a member of NASA's Habitat Optimized for Missions of Exploration - Space Technology Research Institute (HOME STRI). 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.
Education
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Ph.D in Ind. Eng. Systems Informatics and Control
Georgia Institute of Technology (2020-2024) -
M. Sc. in Electrical and Electronics Engineering
Universidad de Chile (2018-2019) -
B.Sc in Electronical and Electronics Engineering
Universidad de Chile (2013-2017)
Research Interests
- Condition-based maintenance for electrical equipment.
- Data-driven joint optimization of maintenance and spare provisioning for electrical equipment.
- Data analytics for fault diagnostic and failure prognostics.
- Decision-making using Stochastic Programming and Distributionally Robust Optimization.
- Applications: wind turbines, Li-Ion batteries, and electric vehicles.