Developing a cloud-based analytical platform to optimize predictive and prescriptive maintenance across industrial systems.
We are studying data-driven prioritization models that can help hospitals manage their oncology waiting lists with application in the South Eastern Metropolitan Health Service
FONDECYT Regular project. Developing resource cost-aware scheduling solutions to optimize performance under uncertainty, with applications in astronomy and other industries.
Using operations research methodologies, we are developing new tools for observatory operations.
Using deep learning spatial-temporal graph models for seasonal forecasting of extreme temperature events.
We are combining machine learning and stochastic optimization tools to develop optimal energy management systems for fotovoltaic generation with storage.
In this interview, we talk about how operations research is key to help in making better decisions and how it fosters interconnections with different domain areas.
We talk about the beginnings of operations research and its connection to making good decisions in a crisis.
Several members of our research group participated in OPTIMA 2019, the Chilean Conference on Operations Research.