Disputation: Eleonora Piersanti

Doctoral candidate Eleonora Piersanti at the Department of Mathematics will be defending the thesis Parameter-robust formulation and preconditioning of poroelasticity equations for brain modelling for the degree of Philosophiae Doctor.

picture of the candidate

Doctoral candidate Eleonora Piersanti

 

The PhD defence will be partially digital, at Simula Research Laboratory, Kristian Augusts gate 23 and streamed directly using Zoom. The host of the session will moderate the technicalities while the chair of the defence will moderate the disputation.

Ex auditorio questions: the chair of the defence will invite the audience to ask questions ex auditorio at the end of the defence. If you would like to ask a question, click 'Raise hand' and wait to be unmuted.

Trial lecture

8th of February, time: 14:00 pm, Simula Research Laboratory, Kristian Augusts gate 23 and Zoom.  

"Physics informed machine learning for fluid mechanics" 

Main research findings 

Mathematical modelling of brain parenchyma mechanics and fluid dynamics is a powerful tool to better understand clearance mechanisms, and investigate mechanistic hypotheses that cannot be verified with in vivo experiments. Single and multiple network poroelasticity theory (MPET) can be used to model the behaviour of different types of porous media. In addition, MPET has been used in the past decade to understand better how the different fluid compartments exchange mass in the brain and, more generally, the brain’s clearance process. Nonetheless, the MPET equations applied to brain modelling present several numerical and modelling challenges. Therefore, in the articles collected in this thesis, an analysis of the system of equations from a numerical and computational viewpoint using both theoretical proofs and practical numerical experiments is presented. 
In particular, we present parameter-robust formulations and preconditioners for the MPET equations in order to solve the system in an efficient and accurate maner. In addition, brain parenchyma pulsatility is modelled via linear elasticity and single network poroelasticity equations in a realistic human brain domain.

Adjudication committee

  • Associate Professor Carmen Rodrigo Cardiel, University of Zaragoza
  • Professor Paola Antoniette, Politecnico di Milano
  • Professor Kenneth H. Karlsen, University of Oslo

Supervisors

Chair of defence

Professor Geir Dahl

Host of the session

Professor Kenneth H. Karlsen

 

Organizer

Department of Mathematics
Published Jan. 25, 2023 10:38 AM - Last modified Feb. 6, 2023 10:50 AM