Simon Olofsson

According to our database, Simon Olofsson authored at least 10 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Satisfaction of path chance constraints in dynamic optimization problems.

Eduardo S. Schultz, Simon Olofsson, Adel Mhamdi, Alexander Mitsos

Comput. Chem. Eng., 2022

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, July, 2021

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

2020

The Process-Ranking Benchmarking (PRB) Model: Simplifying the IT-Procurement Decisional Process.

Simon Olofsson, Annika Hasselblad, Leif Olsson

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2020

2019

Gaussian processes for hybridisation of analytical and data-driven approaches for design of experiments.

Simon Olofsson

PhD thesis, 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

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

Improving Sensor Network Convergecast Performance with Directional Antennas.

Javier Schandy, Simon Olofsson, Leonardo Steinfeld, Thiemo Voigt

Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks, 2019

2018

GPdoemd: a python package for design of experiments for model discrimination.

Simon Olofsson, Ruth Misener

CoRR, 2018

Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches.

Simon Olofsson, Marc Peter Deisenroth, Ruth Misener

Proceedings of the 35th International Conference on Machine Learning, 2018