Sondre Tesdal Galtung
- Unit:
- SINTEF Digital
- Department:
- Mathematics and Cybernetics
- Office:
- Oslo
I am a researcher in the Analytics and Artificial Intelligence group, with background in applied mathematics and physics. Topics I work on include improving machine learning models through «a priori» knowledge about the underlying physical system, as well as surrogate modelling.
Moreover, my interests cover topics with applied mathematics, conservation laws, particle systems, stochastic modelling, etc.
Education
- PhD in mathematics, Norwegian University of Science and Technology (NTNU), 2020
- MSc in applied mathematics, the Norwegian University of Science and Technology (NTNU), 2016
Competence and research areas
- model order reduction
- partial differential equations
- hyperbolic conservation laws
- numerical methods and analysis
- particle models
- calculus of variations and optimisation
ORCID
Highlighted publications
- Equivalence of entropy solutions and gradient flows for pressureless 1D Euler systems Read the publication
- The Sticky Particle Dynamics of the 1D Pressureless Euler-Alignment System as a Gradient Flow Read the publication
- Mean field limit for one dimensional opinion dynamics with Coulomb interaction and time dependent weights Read the publication
- A numerical study of variational discretizations of the Camassa–Holm equation Read the publication
- Effect of the choice of boundary conditions on modelling ambient to soil heat transfer near a buried pipeline
Contact info
Visiting address:
Forskningsveien 1
0373 Oslo