Education
Courses
2024/2025
- Inverse Problems | AM3540
- Modeling, Uncertainty and data for Engineers | CEGM1000
- Data Science and AI for Engineers | CEGM2003
- Fundamentals of Artificial Inteligence Program | IFEEMCS520100
- Statistical Learning | WI4630
- Statistical Learning for Engineers | IFEEMCS4250
2023/2024
- Inverse Problems | AM3540
- Modeling, Uncertainty and data for Engineers | CEGM1000
- Data Science and AI for Engineers | CEGM2003
- Fundamentals of Artificial Inteligence Program | IFEEMCS520100
- Statistical Learning | WI4630
- Statistical Learning for Engineers | IFEEMCS4250
2022/2023
- Modeling, Uncertainty and data for Engineers | CEGM1000
- Data Science and AI for Engineers | CEGM2003
- Fundamentals of Artificial Inteligence Program | IFEEMCS520100
- Statistical Learning | WI4630
- Statistical Learning for Engineers | IFEEMCS4250
2021/2022
- Statistical Learning | WI4630
- Statistical Learning for Engineers | IFEEMCS4250
Master projects
Ongoing
- Uncertainty quantification with GP-PCE hybrids (provisionary title), Iuri Rocha, Daan Smolders (2023/2024)
- Physically Recurrent Neural Networks for dynamics of lattice metamaterials (provisionary title), Iuri Rocha, Paul van IJzendoorn (2023/2024)
- Stitching multi-fidelity Gaussian processes, Iuri Rocha, Rik Hendriks (2022/2023)
- Bayesian system identification of engineering structures, Iuri Rocha, Andres Martinez Colan (2022/2023)
Finished
- Physically Recurrent Neural Networks for Cohesive Homogenization of Composite Materials, Iuri Rocha, Nora Kovacs (2023/2024)
- GNNs and Beam Dynamics: Investigation into the application of Graph Neural Networks to predict the dynamic behaviour of lattice beams, Iuri Rocha, Lex Niessen (2022/2023)
- Analyzing the Influence of Prior Covariances on a Bayesian Finite Element Method, Iuri Rocha, Uri Peker (2022/2023)
- High-dimensional numerical optimization of fiber reinforced polymers with variational autoencoders and Bayesian optimization, Iuri Rocha, Joep Storm (2020/2021)
- Investigating the performance of Deep Material Networks in accelerating multiscale modelling of laminated composites, Iuri Rocha, Jesse Metz (2020/2021)
- Surrogate constitutive models with multi-fidelity Gaussian Processes for composite micromodels, Iuri Rocha, Taylan Turan (2020/2021)
- Optimizing the Reduced Basis Construction for Reduced-Order Mechanical Models, Iuri Rocha, Knut Tjensvoll (2019/2020)