415 67 650
- Unit:
- SINTEF Digital
- Department:
- Mathematics and Cybernetics
- Office:
- Oslo
Kjetil completed his MSc in mathematics in 2011, and worked at SINTEF Digital from 2011 to 2014, when he went on leave to do a PhD in applied mathematics at ETH Zurich. He came back to SINTEF Digital in 2020.
Education
2011 Master in mathematics, UiO
2020 PhD in applied mathematics, ETHZ
Competence and research areas
Uncertainty quantifications (UQ), computational probability, robust numerical methods, machine learning (ML), high performance computing (HPC)
Publications
- Convergence Rates of Monotone Schemes for Conservation Laws for Data with Unbounded Total Variation
- Constraint Preserving Mixers for the Quantum Approximate Optimization Algorithm
- Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks
- A multi-level procedure for enhancing accuracy of machine learning algorithms
- Geilo Winter School in eScience on Learning from Data
- Density-consistent Initialization of SPH on a Regular Cartesian Grid: Comparative Numerical Study of 10 Smoothing Kernels in 1, 2 and 3 Dimensions
- Effective memory layout and accesses for the SPH method on the GPU
- Comparison of SPH and VOF simulations with experimental measured wave-induced impact loads due to Green Water Events
- Use of Complex Intel Boundary Conditionas For Accelerated Studies of Green Water Events
- Tinia: Visualization in the cloud - or how to visualize very large datasets on an iPad