Marie E. Rognes, Ph.D.Department of Mathematics, University of Oslo
2016-04-04: I'll be visiting Patrick Farrell at Christ Church College, University of Oxford April 22 - 28, 2016.
2016-03-15: I'm invited as a plenary speaker to the 24th International Conference on Domain Decomposition Methods at Svalbard, Feb 6-10, 2017.
2016-03-15: Our new paper on Adjoint Multi-Start Based Estimation of Cardiac Hyperelastic Material Parameters using Shear Data (G. Balaban, M. S. Alnaes, J. Sundnes and M. E. Rognes) is now on arXiv and accepted for publication in Biomechanics and Modeling in Mechanobiology.
2015-12-05: I am honoured and grateful for receiving the 2015 Simula Research Award.
2015-12-04: I have been awarded a FRIPRO Young Research Talents Grant. Thanks to the Research Council of Norway. The project will revolve around "The Numerical Waterscape of the Brain" and will run for 3 years starting April 1 2016.
2015-09-22: I am excited to join as one of the Founding Members of the Young Academy of Norway; a new, interdisciplinary Academy of Sciences, initiated by the Norwegian Academy of Sciences and Letters
Mail: meg at simula dot no
Marie E. Rognes received her Master (2005) and Ph.D. (2009) degrees in applied mathematics at the Centre for Mathematics for Applications, Faculty of Mathematics and Natural Science, University of Oslo. She then joined Simula Research Laboratory as a post-doctoral fellow in 2009, before being employed as a Senior Research Scientist in 2012. She has acted as Head of Department for the Biomedical Computing Department at Simula since 2012. Since 2015, Rognes also holds the position of Adjunct Associate Professor at the Department of Mathematics at the University of Oslo. In 2015, Rognes won the 2015 Wilkinson Prize for Numerical Software, was elected a Founding Member of the Young Academy of Norway, and received the 2015 Simula Research Award.
Rognes' research interests revolve around numerical methods for partial differential equations, in particular the analysis and implementation of structure- and property-preserving discretizations such as mixed finite element methods. She has been a core team member of the FEniCS Project since 2007 and is a founder of the dolfin-adjoint project, focusing in particular on automated code generation for sophisticated finite element spaces, automated goal-oriented adaptivity and error control, and automated derivation of adjoints of time-dependent finite element models. Rognes has successfully used these methods and techniques in a range of applications with particular emphasis on modelling and simulation of biological tissue. In the next years, she aims to study and use numerical methods to understand fluid flow and transport within the central nervous system at a range of spatial and temporal scales.
Overall, from 2009 till 2015, Rognes has published 13 articles in peer-reviewed international journals, 4 refereed book chapters, and 3 refereed conference proceedings. Google scholar h-index: 9, i10-index: 8 as of 07.12.2015.