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Lucas Perrin
Since October 2024 I am a Post-Doctoral researcher at Universität Konstanz within Stefan Volkwein's Arbeitsgruppe Chair for Numerical Optimization.
Part of my work is in collaboration with Virtual Vehicule GmbH.
Previously, from September 2021 to August 2024, I was a Ph. D. candidate at INRIA Paris (ANGE team) and Laboratoire Jacques Louis Lions (Sorbonne Université) under the supervision of Julien Salomon.
Research areas
My research lies in numerical analysis, mainly reduced-order modelling, parallel (in time) computing and data assimilation (observation and control of dynamical systems). I am also deeply interested in computational fluid dynamics, HPC, and machine learning.
Here is my CV in English.
Seminars
Co-organiser of the research school IMPDE 23 with Liu-Di Lu and Bastien Chaudet-Dumas.
Workgroup
From April 2022 to May 2023, I co-organised the Ph. D. Seminar (GTT) of the LJLL.
P. Lissy, L. Perrin, Theoretical and numerical study of the convergence of Luenberger observers for a linearized water wave model, (2025) (preprint)
L. Perrin, Parallelization and assimilation methods. Applications to gravity flows. (2024) Ph.D. Thesis (version as of 14.11.24)
L. Sala , P. J. Hossie , B. Laroche, T. Malou , L. Perrin , T. Saigre. Surrogate modeling of interactions in microbial communities through Physics-Informed Neural Networks, (2024) (preprint)
F. Hecht, S.M. Kaber, L. Perrin, A. Plagne, J. Salomon. Parallel approximation of the exponential of hermitian matrices, (2023) (preprint)
Teaching:
Konstanz:
2024-2025 (Winter) : Optimization II, Behzad Azmi
Paris:
2023-24 (S1) : Polytech Sorbonne, Licence 3, Fabien Vergnet, TP Python
2023-24 (S1) : Polytech Sorbonne, Licence 3, Laurent Lazzarini, Analyse de Fourier
2023-24 (S1) : Polytech Sorbonne, Licence 3, Claire David, Algèbre Linéaire
2022-23 (S2) : Université Paris Dauphine, Licence 3, Pierre Lissy, Analyse fonctionnelle et hilbertienne
2022-23 (S1) : Polytech Sorbonne, Licence 3, Fabien Vergnet, Analyse de Fourier
2021-22 (S2) : Université Paris Dauphine, Licence 2, Guillaume Legendre, Méthodes numériques : algèbre matricielle et fonctions d'une variable réelle
Talks & Posters:
Aug 23 : CEMRACS23, end of project presentation (Slides)
June 23: Numhyp23 : conference on Numerical Methods for Hyperbolic Problems (Poster)
June 23: Workshop : Assimilation, Control and Computational Speedup (Slides)
Fev 23 : GTE MAP5, Groupe de Travail des Ephémères : (Slides in french)
June 22 : CANUM 20, national conference of numerical analysis : (Slides)
May-June 22 : EMRSIM 22, conference on Simulation and Optimisation for Marine Renewable Energy : (Slides)
Dec. 21 : A presentation of ParaReal (for the M2 course of Laura Grigori on HPC)
Other seminars attended:
May 2024 : CANUM 24
Oct. 2023 : Coastal Wave Modelling
June 2023 : CEMRACS23 on Scientific Machine Learning
May 2022 : Research School High Dimensional Approximation and Deep Learning
Nov. 2021 : Summer School on advanced DD methods
Contact:
Universität Konstanz
Address:
Department of Mathematics and Statistics
Universitätsstraße 10
D-78457 Konstanz
Room:
D219
E-mail:
lucas.perrin@uni-konstanz.de