Persoonlijk profiel
Research profile
Victorita Dolean-Maini is a Full Professor working on the design of fast algorithms for the simulation of complex systems of PDEs with a focus on wave propagation problems. Together with her collaborators, she was the recipient of Bull-Joseph Fourier Prize, delivered by Atos-Bull, for her innovative work on real time simulation of strokes using HPC (SIAM News, 2016). She co-authored a reference work on Domain decomposition methods (published by SIAM in 2015). She’s a member of the editorial board of SIAM Journal on Scientific Computing and of the Scientific Committee of International Conferences on Domain decomposition methods. She also works on many intra/interdisciplinary projects and is involved industrial collaborations which are thriving in the TU/e environment. Her current focus are the development of new projects in the emerging field of Scientific Machine Learning.
Quote
“Computers are incredibly fast, accurate, and stupid. Human beings are incredibly slow, inaccurate, and brilliant. Together they are powerful beyond imagination.”
Academic background
Before joining TU Eindhoven, Victorita was a part-time Professor at the University of Strathclyde, Glasgow, where she holds a honorary visiting position. She is also a Fellow of the Institute of Mathematics and its Applications (IMA). She did her PhD thesis at INRIA (France) in CFD using domain decomposition and parallel computing and subsequently became a research assistant at CMAP of Ecole Polytechnique in Paris. She got her first lecturer position at Evry University in Paris area, before moving to the University of Nice-Sophia Antipolis (now University Côte d’Azur). She also spent one year and a half as a visiting professor at the University of Geneva in Switzerland.
Externe posities
Visiting Professor, University of Strathclyde
2 dec. 2023 → 1 dec. 2026
Expertise gerelateerd aan duurzame ontwikkelingsdoelstellingen van de VN
In 2015 stemden de VN-lidstaten in met 17 wereldwijde duurzame ontwikkelingsdoelstellingen (Sustainable Development Goals, SDG's) om armoede te beëindigen, de planeet te beschermen en voor iedereen welvaart te garanderen. Het werk van deze persoon draagt bij aan de volgende duurzame ontwikkelingsdoelstelling(en):
-
SDG 3 – Goede gezondheid en welzijn
-
SDG 4 – Kwaliteitsonderwijs
-
SDG 9 – Industrie, innovatie en infrastructuur
-
SDG 12 – Verantwoordelijke consumptie en productie
Vingerafdruk
- 1 Soortgelijke profielen
Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar
-
Local feature filtering for scalable and well-conditioned domain-decomposed random feature methods
van Beek, J. W., Dolean, V. (Corresponding author) & Moseley, B., 1 feb. 2026, In: Computer Methods in Applied Mechanics and Engineering. 449, 27 blz., 118583.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand17 Downloads (Pure) -
Achieving wavenumber robustness in domain decomposition for heterogeneous Helmholtz equation: an overview of spectral coarse spaces
Dolean, V., Fry, M., Langer, M., Parolin, E. & Tournier, P.-H., 2 sep. 2025, arXiv.org, 26 blz.Onderzoeksoutput: Werkdocument › Preprint › Academic
Open AccessBestand1 Downloads (Pure) -
An Iterative Block Matrix Inversion (IBMI) Algorithm for Symmetric Positive Definite Matrices with Applications to Covariance Matrices
Paterson, A., Pestana, J. & Dolean, V., 2 sep. 2025, arXiv.org, 25 blz.Onderzoeksoutput: Werkdocument › Preprint › Academic
Open AccessBestand -
A Robust and Adaptive GenEO-Type Domain Decomposition Preconditioner for H(curl) Problems in Three-Dimensional General Topologies
Bootland, N. (Corresponding author), Dolean, V., Nataf, F. & Tournier, P.-H., dec. 2025, In: Journal of Scientific Computing. 105, 3, 28 blz., 67.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
-
Convergence analysis of GMRES applied to Helmholtz problems near resonances
Dolean, V., Marchand, P., Modave, A. & Raynaud, T., 22 mei 2025, arXiv.org, 23 blz.Onderzoeksoutput: Werkdocument › Preprint › Academic
Open AccessBestand1 Downloads (Pure)
Cursussen
-
Machine Learning for Scientific Computing and Numerical Analysis
Dolean-Maini, V. 1/09/25 → 31/08/26
Cursus
-
Multidisciplinary CBL
Cursus
-