CBC Workshop on Advanced Numerical Techniques in Biomedical Computing - December 3, 2015

CBC will host a workshop on on advanced numerical techniques in biomedical computing. The aim of this workshop is to bring together national and international researchers that apply advanced mathematical and numerical methods to biomedical problems. The workshop is open for all interested parties. No registration required.


Time: 3rd December 2015, 09:00 - 17:00 
Location: Room Storstua, Simula Research Laboratory, Martin Linges vei 25, 1364 Fornebu

Registration: Not required, open to everyone.

AGENDA

 

Time Speaker Title
09:00 - 09:15 Welcome coffee  
09:15 - 09:30 Marie Rognes Introduction to scientific and biomedical computing at Simula Research Laboratory
9:30 - 10:00 Federico Negri Model order reduction strategies for blood flow and mass transport problems in hemodynamics
10:00 - 10:30 Gianluigi Rozza Reduced order modelling of CFD bifurcation problems with applications to mitral valves regurgitation
10:30 - 11:00 Coffee  
11:00 - 11:30 Wolfgang Wall TBA
11:30 - 12:00 Kent-Andre Mardal Computational modelling of the biomechanics in the central nervous system – Chiari and syringomyelia
12:00 - 12:30 Lorenz John Robust hybrid parallel multigrid methods for incompressible fluids
12:30 - 13:30 Lunch  
13:30 - 14:00 Michael Gee A Closed Loop Model of Cardiac Mechanics and Patient Specific Parameter Calibration
14:00 - 14:30 Gabriel Balaban Optimal Elasticity and Contraction in the Cardiac Cycle
14:30 - 15:00 Coffee and cake  
15:00 - 15:30 Adélia Sequeira A reduced modeling approach to study thrombus development
15:30 - 16:00 Christophe Prud'homme AngioTK: An open platform to reconstruct vessels from MRI images, simulate blood flows and provide virtual angiographies.
16:00 - 16:30 Simon Funke Assimilating 4D-MRI blood flow measurements using PDE-constrained optimisation

 

 

 

 

03/ Dec 2015 09.0017.00

 

 

Center for Biomedical Computing (CBC) aims to develop and apply novel simulation technologies to reach new understanding of complex physical processes affecting human health. We target selected medical problems where insight from mathematical modeling can contribute to changing clinical practice.

Related employees