Expertise
Engineering
- Surrogate Model
- Flow Simulation
- Gaussians
- Simulation Time
- Uncertainty Quantification
- Geometrical Parameter
- Prediction
- Reduced Order Model
Organisations
Publications
2024
Gaussian process learning of nonlinear dynamics (2024)Communications in Nonlinear Science and Numerical Simulation, 138. Article 108184. Ye, D. & Guo, M.https://doi.org/10.1016/j.cnsns.2024.108184A parametric framework for kernel-based dynamic mode decomposition using deep learning (2024)[Working paper › Preprint]. ArXiv.org. Kevopoulos, K. & Ye, D.https://doi.org/10.48550/arXiv.2409.16817Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots (2024)Journal of computational physics, 497. Article 112639. Ye, D., Krzhizhanovskaya, V. & Hoekstra, A. G.https://doi.org/10.1016/j.jcp.2023.112639
2023
Gaussian process learning of nonlinear dynamics (2023)[Working paper › Preprint]. ArXiv.org. Ye, D. & Guo, M.https://doi.org/10.48550/arXiv.2312.12193Bayesian approach to Gaussian process regression with uncertain inputs (2023)[Working paper › Preprint]. ArXiv.org. Ye, D. & Guo, M.PDE-constrained Gaussian process surrogate modeling with uncertain data locations (2023)[Working paper › Preprint]. ArXiv.org. Ye, D., Yan, W., Brune, C. & Guo, M.https://doi.org/10.48550/arXiv.2305.11586Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots (2023)[Working paper › Preprint]. ArXiv.org. Ye, D., Krzhizhanovskaya, V. & Hoekstra, A. G.
Research profiles
Courses academic year 2024/2025
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.
Courses academic year 2023/2024
Address
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
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