This week Steven Niederer (King's College London) will talk about “Linking physiology and cardiology through mathematical models”
Time and Place. Thursday 28 April 2016, 11:00–12:00, Room 4027 of the Zuse Institute Berlin, Takustraße 7, 14195 Berlin
Abstract. Much effort has gone into the analysis of cardiac function using mathematical and computational models. To fully realise the potential of these studies requires the translation of these models into clinical applications to aid in diagnosis and clinical planning.
To achieve this goal requires the integration of multiple disparate clinical data sets into a common modelling framework. To this end we have developed a coupled electro-mechanics model of the human heart. This model combines patient specific anatomical geometry, active contraction, electrophysiology, tissue heterogeneities and boundary conditions fitted to comprehensive imaging and catheter clinical measurements.
This multi-scale computational model allows us to link sub cellular mechanisms to whole organ function. This provides a novel tool to determine the mechanisms that underpin treatment out comes and offers the ability to determine hidden variables that provide new metrics of cardiac function. Specifically we report on the application of these methods in patients receiving cardiac resynchronisation therapy and ablation for atrial fibrillation.
This week's colloquium at the Einstein Center for Mathematics Berlin will be on the topic of “Sparsity: Statistics, Optimization and Applications.” The speakers will be:
- Peter Richtárik (Edinburgh): Empirical Risk Minimization: Complexity, Duality, Sampling, Sparsity and Big Data
- Gitta Kutyniok (TU Berlin): Anisotropic Structures and Sparsity-based Regularization
- Mario Figueiredo (Lisbon): Learning with Strongly Correlated Variables: Ordered Weighted ℓ1 Regularization
Time and Place. Friday 22 April 2016, 14:00–17:00, Humboldt-Universität zu Berlin, Main Building Room 2.094, Unter den Linden 6, 10099 Berlin
Published on Monday 18 April 2016 at 08:00 UTC #event
The third SIAM Conference on Uncertainty Quantification (SIAM UQ16) will take place at the SwissTech Convention Center in Lausanne, Switzerland, this week, 5–8 April 2016.
As part of this conference, Mark Girolami and I will organise a mini-symposium on “Over-confidence in numerical predictions: challenges and solutions” (MS138 and MS153), which will feature a wide range of perspectives, including Bayesian and frequentist (in)consistency, probabilistic numerics, and application fields.
Published on Sunday 3 April 2016 at 21:00 UTC #event
Anirban Mukhopadhyay will give a short course on Machine Learning in Image Analysis on 29–31 March 2016 at the Zuse Institute Berlin.
Time and Place. 10:00–12:00 on 29, 30, and 31 March 2016, ZIB Lecture Hall.
For further information, see the course web-page at www.zib.de/MLIA.
Published on Tuesday 22 March 2016 at 10:00 UTC #event
From 12–16 September 2016, there will be a summer school on uncertainty quantification jointly organized by the GAMM Activity Group on Uncertainty Quantification, the International Research and Training Group Munich-Graz and WIAS. The invited lecturers are:
- Howard Elman (U Maryland): Reduced Basis Methods for Random PDEs
- Lars Grasedyck (RWTH Aachen): Sparse Tensor Approximations
- Claudia Schillings (U Warwick): Ensemble Kalman Filters and MCMC for Bayesian Inversion
- Raul Tempone (KAUST): Multilevel and Multiindex Monte-Carlo Methods
- Bruno Sudret (ETH Zürich): Engineering Risk Analysis with UQ-LAB
Contact the organisers at firstname.lastname@example.org for further information.
Published on Thursday 17 March 2016 at 16:00 UTC #event