Dr. Sebastian Rojas Gonzalez
Biography
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.
Since 2020 Sebastian is an FWO Post-doctoral Fellow working with the Department of Information Technology at Ghent University. He is also a senior lecturer within the Computational Mathematics group at the Data Science Institute (BE).
Research interests
- Multiobjective (simulation) optimization
- Bayesian optimization
- Surrogate modeling
- Gaussian Processes (Kriging)
- Stochastic simulation
- Optimization under uncertainty
- Application of machine learning methods to astronomical datasets