Operations Research, Prescriptive Analytics, and Systems Engineering.
What we do…
We are interested in harnessing the power of operations research, predictive analytics, and prescriptive analytics methodologies, to develop decision support tools for applied problems.
Currently, our research has focused on two main methodological areas:
We work in combining both areas, focused on applications, to make robust decision support systems. The applications we are looking into right now are energy management and astronomical observatory operations. They look far away from each other, but similar techniques can help significantly improve the processes if both settings. And both have large amounts of data that we can use to train, test, and validate our developments.
Combinatorial Algorithms, Algorithm Design & Analysis, Prescriptive Analytics
Combinatorial Problems, Machine Learning, Prescriptive Analytics
Machine learning, Prescriptive Analytics, Image processing
Some of the recent publications we want to highlight.
Current applied research projects
One of our aims is to connect theory and practice in our research. These are the current projects in which we are involved, and that allows us to connect the two.
In these projects, we are using combinatorial optimization and stochastic modeling techniques to develop decision support tools in various settings.
We are combining machine learning and stochastic optimization tools to develop optimal energy management systems for fotovoltaic generation with storage.
Developing tools for fault detection and diagnosis, in order to construct predictive maintenance systems.
All of our publications, easy to sort and cite.
Conferences and science communication
These are some of the recent talks and conferences in which we have participated. A full list is available here.
These are some of the great collaborators we’ve had the chance of working with in our research.
Interested in our work? Here is how to contact us.