Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches. - Simon Olofsson; Marc Peter Deisenroth; Ruth Misener (ICML, 2018)

GPdoemd: a python package for design of experiments for model discrimination. - Simon Olofsson; Ruth Misener (CoRR, 2018)

Improving Sensor Network Convergecast Performance with Directional Antennas. - Javier Schandy; Simon Olofsson; Leonardo Steinfeld; Thiemo Voigt (EWSN, 2019)

GPdoemd: A Python package for design of experiments for model discrimination. - Simon Olofsson; Lukas Hebing; Sebastian Niedenführ; Marc Peter Deisenroth; Ruth Misener (Comput. Chem. Eng., 2019)

Bayesian Multiobjective Optimisation With Mixed Analytical and Black-Box Functions: Application to Tissue Engineering. - Simon Olofsson; Mohammad Mehrian; Roberto Calandra; Liesbet Geris; Marc Peter Deisenroth; Ruth Misener (IEEE Trans. Biomed. Eng., 2019)

Gaussian processes for hybridisation of analytical and data-driven approaches for design of experiments. - Simon Olofsson (2019)

The Process-Ranking Benchmarking (PRB) Model: Simplifying the IT-Procurement Decisional Process. - Simon Olofsson; Annika Hasselblad; Leif Olsson (IEEM, 2020)

Design of Dynamic Experiments for Black-Box Model Discrimination. - Simon Olofsson; Eduardo S. Schultz; Adel Mhamdi; Alexander Mitsos; Marc Peter Deisenroth; Ruth Misener (CoRR, 2021)

Improving Sensor Network Performance with Directional Antennas: A Cross-layer Optimization. - Javier Schandy; Simon Olofsson; Nicolás Gammarano; Leonardo Steinfeld; Thiemo Voigt (ACM Trans. Sens. Networks, 2021)

Satisfaction of path chance constraints in dynamic optimization problems. - Eduardo S. Schultz; Simon Olofsson; Adel Mhamdi; Alexander Mitsos (Comput. Chem. Eng., 2022)