Important Dates
  • Abstract Submission Open
  • Based on this year's increased demand, one more parallel session was added. Abstract submission is still open!
  • March 31, 2014
  • Minisymposia proposals.
  • March 31, 2014
  • Notification of acceptance.
  • March 15, 2014
  • Early registration fee payment.
  • September 30, 2014
  • Paper submission.
If you are interested in organizing a minisymposium, please send a tentative title and a brief description to esco2014(at)femhub(dot)com.
 

List of Minisymposia

  • Computational Biomechanics (J.R. Whiteman - Brunel University, London, UK)
    Computational biomechanics plays an important role in the study of biological systems and processes, as they appear in “the challenges of to-day”. This mini-symposium is devoted to the computational modelling of problems of biomechanics such as: cardiovascular systems; haemodynamics; biodentistry; bone modelling, hip and implant biomechanics; soft tissue biomechanics; biomaterials such as thermoplastics. The focus will be on advances in computational methods for modelling and treating problems of the above type, novel numerical methods and computational techniques and challenges.
  • Selected Applications of Computational Geometry (J.H. Brandts - University of Amsterdam, The Netherlands)
    The influence of the geometry of triangulations on qualitative aspects of finite element approximations is by now well known, and has initiated research in the area of simplicial triangulations using simplices with restricted shapes only, such as nonobtuse or even acute simplices. Such simplices can conveniently be described in terms of linear algebra, leading to the studies of special matrix classes, such as ultrametric matrices, (inverse-) M-matrices, and completely positive matrices. This minisymposium aims to bring together people who are active in the field of Computational Geometry, with geometry and computation as common divisor.
  • Sensitivity Computations in Computational Science and Engineering (M. Buecker and F. Schiller - University of Jena, Germany)
    Sensitivities are basic building blocks in a variety of numerical techniques for the solution of optimization problems, inverse problems, or uncertainty quantification. Not only they are necessary from a methodological point of view; they also provide additional insight into the scientific and engineering problem to which the numerical techniques are applied. This minisyposium will focus on recent advances in methods for the efficient computation of sensitivities and show their high relevance in actual applications like geophysics and hydrology.
  • Computational Modeling of Porous Media Flow (Michal Kuraz - Czech Technical University, Prague)
    Mathematical modeling of the porous media flow and contaminant transport could be summarized into two distinct categories. It is the reliable solution of the governing equations and the macro parameter description of the porous media. The numerical solution of the governing equations of the porous media flow involves several difficulties originating from steep gradients in nonlinear constitutive laws for the unsaturated hydraulic functions. And the macro parameter description involves another severe problem in a search for parameters that macroscopically describe highly non-homogeneous and complicated system of the porous media flow.
  • Paremeter Identification in a Probabilistic Setting (Bojana Rosic - Inst. für Wiss. Rechnen, Braunschweig)
    Inverse problems in a deterministic setting are typically ill-posed as the mapping from parameter to observable is usually not invertible. In order to cope with the solution uniqueness and instabilities under data perturbations, special optimisation methods have to be developed. These methods are fundamentally based on the introduction of a regularization term so that the predicted system state is constrained to remain close to the observed system state. The objective of the minisymposium is to familiarize the participants with the Bayesian inference in full and linear setting and share the knowledge about numerical methods such as Markov Chain Monte Carlo algorithms, Kalman lter estimate, spectral based linear Bayesian procedures etc.
  • Bayesian Framework for Multiphysics Inverse Problems (Helcio R.B. Orlande - Federal University of Rio de Janeiro, Rio de Janeiro, Brasil; Marcelo J. Colaço - Federal University of Rio de Janeiro, Rio de Janeiro, Brasil; Zbigniew Buliński - Silesian University of Technology, Gliwice, Poland)
    The application field of inverse problems is very wide starting with image analysis, electrical tomography, bioengineering, heat and mass transfer and fluid mechanics, and still new applications are reported in literature. Most inverse problems are ill-posed in the sense given by Hadamard, therefore they need regularisation. Application of Bayesian framework to inverse problems allows us to take advantage of all information about a given problem which can be incorporated as a priori distribution to the solution procedure, what makes the problem better posed. Moreover, solution of the inverse problem is given in terms of posterior distribution function, which also regularised the problem. New developments as well as applications of a well established Bayesian techniques like: Marcov Chain Monte Carlo, Kalman filter, Particle filter are welcome.
  • Numerical Modeling of Material Behaviour on Nano, Micro or Macro Scale Level (Jaroslav Kruis - Czech Technical University, Prague)
    This minisymposium is devoted to numerical modeling of behaviour of materials used especially in civil engineering such as concrete, composites, wood, soil, etc. Because of their complicated structure, various levels (from nano to macro) of description are used. Transport of heat, moisture and chemical species, mechanical analysis and coupled hydro-thermo-chemo-mechanical analysis are in the center of attention. Multi-level models require huge computational power which is accessible on parallel computers. Contributions dealing with single-level or multi-level analysis on single or parallel computer are welcome.
  • Simulation and Coupling Strategies for Particle Dynamics and CFD (Philipp Neumann - Technical University of Munich; Ulrich Ruede - University of Erlangen)
    In this minisymposium, recent advances in simulating complex particulate systems in the context of fluid dynamics are presented. Particular topics com- prise the simulation of suspended particles in (turbulent) flows and the simu- lation of large-scale molecular systems. Both high performance computing and multiscale aspects are considered.
  • Advances in Numerical Methods for Eigenvalue Problems and Applications (Stefano Giani - University of Durham))
    The aim of this minisymposium is to present and discuss state-of-the-art numerical methods for eigenvalue problems and their applications. Contributions on error analysis, error estimators, guaranteed computable bounds for eigenvalues, convergence for adaptive schemes, advances in numerical linear algebra, polygonal finite elements and stochastic finite elements are most welcome.
  • Computational Methods in Applied Inverse Problems (Aaron Luttman - National Security Technologies, LLC; Robert Zemcik - University of West Bohemia)
    Indirect measurements in science and engineering provide data that are often not the quantities of primary interest. Inferring the information of interest then becomes a problem of mathematically modeling the experiment and data capture and solving an associated inverse problem. This minisymposium will focus on recent work on computational methods for solving inverse problems arising from real experiments. Some of the focus applications are imaging science, signal processing, and stress and strain, but submissions of work on computational methods for inverse problems in other applications are welcome.
  • Coupled problems in electromagnetics (P. Karban - University of West Bohemia)
    The aim of this minisymposium is to present and discuss state-of-the-art mathematical models, numerical methods, and computational techniques for solving multiphysics coupled problems rooted in electromagnetic fields. Target applications include induction and dielectric heating, electromechanical transducers, and high-voltage phenomena of thermoelasticity.
  • Advances in Discontinuous Galerkin Methods for complex wave propagation problems (S. Schnepp - ETH Zurich)
    This minisymposium is concerned with advances and novel DG techniques for the computer simulation of complex wave propagation problems. Contributions on methodological advances - such as hybridized DG methods, efficient time integration, error estimation and adaptivity - or the modeling of complex situations and materials - such as encountered in nano-sciences, bioelectromagnetics or coupled problems - are most welcome.

Software Workshops

  • NCLab - Free cloud computing platform for education and research
  • DUNE - Distributed and Unified Numerics Environment
  • Agros2D - Multiplatform interactive graphical application for the solution of engineering problems based on adaptive hp-FEM
  • Hermes - C/C++ library for rapid development of adaptive hp-FEM and hp-DG solvers with emphasis on time-dependent nonlinear multiphysics problems
  • emgr - Toolbox for model order reduction, uncertainty quantification, and system identification compatible with OCTAVE and MATLAB