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Most recent publications

R. Masri, M. Zeinhofer, M. Kuchta and M. E. Rognes

The modelling error in multi-dimensional time-dependent solute transport models

TBA (2023).
Journal Article
2023
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M. J. Sætra, A. J. Ellingsrud and M. E. Rognes

Neural activity induces strongly coupled electro-chemo-mechanical interactions and fluid flow in astrocyte networks and extracellular space – a computational study

TBA (2023).
Journal Article
2023
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V. Vinje, B. Zapf, G. Ringstad, P. K. Eide, M. E. Rognes and K. Mardal

Human brain solute transport quantified by glymphatic MRI-informed biophysics during sleep and sleep deprivation

bioRxiv (2023).
Journal Article
2023
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E. Piersanti, M. E. Rognes and V. Vinje

Are brain displacements and pressures within the parenchyma induced by surface pressure differences? A computational modelling study

TBA (2023).
Journal Article
2023
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Selected publications

K. Mardal, M. E. Rognes, T. B. Thompson and L. M. Valnes

Mathematical modeling of the human brain: from magnetic resonance images to finite element simulation

In Simula SpringerBriefs on Computing. Vol. 10. Cham: Springer, 2022.
Book
2022
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M. Causemann, V. Vinje and M. E. Rognes

Human intracranial pulsatility during the cardiac cycle: a computational modelling framework

Fluids and Barriers of the Central Nervous System 19 (2022): 1-17.
Journal Article
2022
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A. Tveito, K. Mardal and M. E. Rognes

Modeling Excitable Tissue: The EMI Framework

Springer, 2021.
Edited books
2021
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P. E. Farrell, D. A. Ham, S. W. Funke and M. E. Rognes

Automated Derivation of the Adjoint of High-Level Transient Finite Element Programs

SIAM Journal on Scientific Computing 35 (2013): 369-393.
Journal Article
2013
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News

12 January 2023
Fulbright Fellowship recipients from 2021.

Celebrating Fulbright Fellowship recipients

Projects

Water drop and brain (Illustration: Colourbox)

Waterscape: The Numerical Waterscape of the Brain

Waterscales logo

Waterscales: Mathematical and computational foundations for modeling cerebral fluid flow

Exciting times: Extreme modelling of excitable tissue (EMIx)

Courses held

MEK2500 Solid mechanics http://www.uio.no/studier/emner/matnat/math/MEK2500/index-eng.html

Background

PhD in applied mathematics
Department of Mathematics, University of Oslo
September 2009

Appointments

Founding member
Young Academy of Norway
October 2015
Member
Norwegian Academy of Technological Sciences
March 2022

Awards

FRINATEK Research Grant (EMIx)
Research Council of Norway
October 2021 – January 2025
2018 Royal Norwegian Society of Sciences and Letters Prize for Young Researchers within the Natural Sciences
Royal Norwegian Society of Sciences and Letters
March 2018
ERC Starting Grant (Waterscales)
European Research Council
January 2017
Wilkinson Prize for Numerical Software
Numerical Analysis Group
August 2015
FRINATEK Research Grant (Waterscape)
Research Council of Norway
April 2016
Simula Research Award
Simula Research Laboratory
December 2015
Nordforsk Research Grant (AUQ-PDE)
Nordforsk
April 2015

Available Master's topics

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2023

Talks, invited

M. E. Rognes

Perivascular pathways and the dimension-2 gap

In CMOR Colloqium Series, Rice University, Houston, TX, US, 2023.
Status: Published
M. E. Rognes

Brains in motion - computational modelling of the brain's waterscape

In Fluid Mechanics, Combustion, & Engineering Physics Seminar, University of California San Diego, San Diego, US, 2023.
Status: Published
2022

Journal articles

M. Causemann, V. Vinje and M. E. Rognes

Human intracranial pulsatility during the cardiac cycle: a computational modelling framework

Fluids and Barriers of the Central Nervous System 19 (2022): 1-17.
Status: Published
C. Daversin-Catty, I. Gjerde and M. E. Rognes

Geometrically reduced modelling of pulsatile flow in perivascular networks

Frontiers in Physics 10 (2022).
Status: Published
A. J. Ellingsrud, D. B. Dukefoss, R. Enger, G. Halnes, K. Pettersen and M. E. Rognes

Validating a computational framework for ionic electrodiffusion with cortical spreading depression as a case study

eNeuro 9 (2022).
Status: Published
Q. Hong, J. Kraus, M. Kuchta, M. Lymbery, K. Mardal and M. E. Rognes

Robust approximation of generalized Biot-Brinkman problems

Journal on Scientific Computing 93, no. 3 (2022): 77.
Status: Published
M. Hornkjøl, L. M. Valnes, G. A. Ringstad, M. E. Rognes, P. K. Eide, K. Mardal and V. Vinje

CSF circulation and dispersion yield rapid clearance from intracranial compartments

Frontiers in Bioengineering and Biotechnology 12 (2022).
Status: Published
X. Lai, H. A. Taskén, T. Mo, S. W. Funke, A. Frigessi, M. E. Rognes and A. Kohn-Luque

A scalable solver for a stochastic, hybrid cellular automaton model of personalized breast cancer therapy

International Journal for Numerical Methods in Biomedical Engineering 38, no. 1 (2022): e3542.
Status: Published

Books

K. Mardal, M. E. Rognes, T. B. Thompson and L. M. Valnes

Mathematical modeling of the human brain: from magnetic resonance images to finite element simulation

In Simula SpringerBriefs on Computing. Vol. 10. Cham: Springer, 2022.
Status: Published

Talks, keynote

M. E. Rognes

Such stuff as dreams are made on: a finite element tale of optimal transport and brain clearance

In Acta Numerica 30th Birthday Conference, Banach Centre at Bedlewo, Poland, 2022.
Status: Published