Marco Picasso
EPFL SB MATH GR-PI
MA C2 632 (Bâtiment MA)
Station 8
1015 Lausanne
+41 21 693 42 47
+41 21 693 25 50
Office:
MA C2 632
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Expertise
Mission
My research pertains to the numerical simulation of complex physical systems with partial differential equations.
Here is some bibliometry: Google Scholar, Research Gate,
Orcid, here is my most recent CV.
Ongoing research projects:
- Numerical simulation of aluminium electrolysis, collaboration with RioTinto LRF lab, Ycoorsystems SA and Jacques Rappaz, PhD student Paride Passelli).
- Free surface flows: viscoelastic fluids (with Alexandre Caboussat, HES-GE, PhD student Léo Diserens).
- Adaptive finite elements and Neural Networks for parametric pdes (with Alexandre Caboussat, HES-GE, PhD student Maude Girardin).
Former research projects:
- Anisotropic adaptive finite elements.
- Numerical Simulation of 3D impulse Waves, Swiss National Fund, http://p3.snf.ch/project-143470, collaboration with VAW ETHZ, R. Boes and W. Hager.
- Bedrock estimation of glaciers from top surface measurements, collaboration with VAW ETHZ, M. Funk.
- Multiphase and multiphysics free surface flows, CTI project with Ycoorsystem Sierre.
- Reduced basis fast and accurate simulation algorithms to new industrial applications for CAE, CTI project with Akselos PSE.
Presentations:
Paris 2013: Adaptive finite elements with large aspect ratio pdf
Erlangen 2015: Numerical simulation of the retreat of Alpine glaciers pdf
Duties:
I am member of the
APEL committee.
I am member of the School Assembly.
Je représente l'EPFL dans la commission suisse de maturité.
Infoscience
Infoscience
Teaching & PhD
PhD Students
Théophile Boinnard, Ferhat Sindy, Anna Peruso, Michele Barucca, Markus Renoldner
Past EPFL PhD Students
Samuel Dubuis (2020), Maude Girardin (2025)
Courses
Advanced numerical analysis II
MATH-351
The student will learn state-of-the-art algorithms for solving differential equations. The analysis and implementation of these algorithms will be discussed in some detail.
Analyse numérique et optimisation
MATH-212
To learn how to solve numerically various mathematical problems. The theoretical properties of these methods will be investigated.