Dr. Sebastian Rojas Gonzalez
Sebastian Rojas Gonzalez obtained a degree in Industrial Systems Engineering from the Costa Rica Institute of Technology in 2012, where he also received training in Astronomy and Astrophysics.
In 2016 he obtained a M.Sc. in Applied Mathematics from the Harbin Institute of Technology in Harbin, China.
In 2016 he moved to the Department of Decision Sciences of KU Leuven, Belgium, to work on a PhD in multiobjective simulation optimization. His research work is centered on developing stochastic optimization algorithms assisted by machine learning techniques for multi-criteria decision making.
In 2020 Sebastian obtained an FWO Post-doctoral Fellowship, and is jointly working with the Department of Information Technology at Ghent University (BE), the Data Science Institute (UHasselt-KU Leuven), and the Department of Operations (Research) at The University of Warwick (UK).
- Bayesian optimization
- Surrogate modeling
- Gaussian Processes (Kriging)
- Multiobjective (simulation) optimization
- Optimization under uncertainty
- Aplication of machine learning methods to astronomical datasets