Ioanna Motschan-Armen

Doctoral Student at Applied Mathematics and Statistics

My PhD project will be in the field of computational mathematics, on efficient approximation methods for random fields on manifolds. I will develop and analyze efficient algorithms that approximate nonstationary and anisotropic random fields on Riemannian manifolds to model randomness on curved surfaces.

Source: chalmers.se
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Showing 1 publications

2024

Euler–Maruyama approximations of the stochastic heat equation on the sphere

Annika Lang, Ioanna Motschan-Armen
Journal of Computational Dynamics. Vol. 11 (1), p. 23-42
Journal article

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Showing 2 research projects

2023–2028

Time-Evolving Stochastic Manifolds (StochMan)

Annika Lang Applied Mathematics and Statistics
Mike Pereira Automatic Control
Ioanna Motschan-Armen Applied Mathematics and Statistics
David Cohen Applied Mathematics and Statistics
Stig Larsson Applied Mathematics and Statistics
Erik Jansson Applied Mathematics and Statistics
Björn Gernot Müller Applied Mathematics and Statistics
European Commission (EC)

2 publications exist
2021–2024

Efficient approximation methods for random fields on manifolds

Annika Lang Applied Mathematics and Statistics
Erik Jansson Applied Mathematics and Statistics
Mike Pereira Automatic Control
Ioanna Motschan-Armen Applied Mathematics and Statistics
Swedish Research Council (VR)

11 publications exist
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