Education
Education
Courses
- Modeling, Data and Uncertainty for Engineers (Coming soon)
- Data Science and AI for Engineers (Coming soon)
- Statistical Learning
- Statistical Learning for Engineers
- Data science for Finance (Coming soon)
Resources
Master projects
Openings
Coming soon!
Ongoing
- Stitching multi-fidelity Gaussian processes (Rik Hendriks)
- Bayesian system identification of engineering structures (Andres Martinez Colan)
Finished
- High-dimensional numerical optimization of fiber reinforced polymers with variational autoencoders and Bayesian optimization, Joep Storm (2021)
- Investigating the performance of Deep Material Networks in accelerating multiscale modelling of laminated composites, Jesse Metz (2020)
- Surrogate constitutive models with multi-fidelity Gaussian Processes for composite micromodels, Taylan Turan (2020)
- Optimizing the reduced basis construction for reduced-order mechanical models: Automatic and efficient load case selection using Bayesian machine learning, Knut Tjensvoll (2019)