Dr. Sebastian Rojas Gonzalez

Sebastian Rojas Gonzalez

Biography

Sebastian Rojas Gonzalez obtained a degree in Industrial Systems Engineering from the Costa Rica Institute of Technology, where he also received training in Astronomy and Astrophysics. He then obtained a M.Sc. in Applied Mathematics from the Harbin Institute of Technology (China). For his PhD, at the Department of Decision Sciences, KU Leuven (Belgium), he worked on methods to solve multiobjective simulation optimization problems using machine learning . 

Sebastian is currently a Senior FWO Postdoctoral Fellow at the Internet and Data Science Lab, Ghent University - imec. He is also a lecturer within the Computational Mathematics group at the Data Science Institute. The core aim of his research is to leverage state-of-the-art artificial intelligence to effectively address complex real-world decision-making problems, with a strong emphasis on achieving data efficiency and uncertainty quantification.

Research interests

  • Simulation optimization
  • Bayesian optimization
  • Surrogate modeling
  • Data-efficient machine learning and optimization
  • Multi-criteria decision making
  • Multiobjective optimization 
  • Optimization under uncertainty
  • Uncertainty quantification
  • AI-powered decision-making

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