Expertise
Engineering
- Flow Simulation
- Surrogate Model
- Geometrical Parameter
- Prediction
- Reduced Order Model
Computer Science
- Models
- Bayesian Approach
Earth and Planetary Sciences
- Kriging
Organisations
Publications
2024
Gaussian process learning of nonlinear dynamics, Article 108184 (E-pub ahead of print/First online). Ye, D. & Guo, M.https://doi.org/10.1016/j.cnsns.2024.108184Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots, Article 112639. Ye, D., Krzhizhanovskaya, V. & Hoekstra, A. G.https://doi.org/10.1016/j.jcp.2023.112639
2023
Bayesian approach to Gaussian process regression with uncertain inputs. ArXiv.org. Ye, D. & Guo, M.Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots. ArXiv.org. Ye, D., Krzhizhanovskaya, V. & Hoekstra, A. G.
Research profiles
Courses academic year 2023/2024
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Address
![](https://1348661504.rsc.cdn77.org/.uc/iff4689c40103f3eb1100f2c8f403e85637f06a7b284b0801e3bc0268018041/zilverling.jpg)
University of Twente
Zilverling (building no. 11), room 2067
Hallenweg 19
7522 NH Enschede
Netherlands
University of Twente
Zilverling 2067
P.O. Box 217
7500 AE Enschede
Netherlands