ECCOMAS 2022

INVITED LECTURERS

PLENARY SPEAKERS:

Computational mechanics and the green transition: motivation and examples
Pål G. Bergan
NTNU, Norway
The impact of defeaturing on the accuracy of PDE solutions
Annalisa Buffa
École Polytechnique Fédérale de Lausanne, Switzerland
The Finite Element Method and Computational Mechanics: Past, Present and a Vision of the Future
Thomas J.R. Hughes
University of Texas at Austin, USA
Approximating functions, functionals and operators with neural networks for diverse applications
George Karniadakis
Brown University, USA
Nonlinear Preconditioning for Implicit Solution of Discretized PDEs
David Keyes
King Abdullah University of Science and Technology (KAUST), Saudi Arabia
The Advent of Continuum-Kinematics-Inspired Peridynamics: A Novel Take on Nonlocal Continuum Modelling and Simulation
Paul Steinmann
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany/ GCEC, University of Glasgow, UK

SEMI-PLENARY SPEAKERS:

On the usefulness of ultra-high resolution topology optimization methods
Niels Aage
Technical University of Denmark
Andrea Beck Towards data-driven high-fidelity Computational Fluid Dynamics
Andrea Beck
Universität Stuttgart, Germany
Breakthroughs in the Modeling of Shell Structures: IGA and Beyond
Yuri Bazilevs
Brown University, USA
Lagrangian approaches for free-surface fluid flows and fluid-structure interaction problems
Massimiliano Cremonesi,
Politecnico di Milano, Italy
Multi-scale models for mixed human-driven and autonomous vehicles
Paola Goatin
INRIA, France
Towards FAIR principles in mathematical research data
Dominik Göddeke
University of Stuttgart, Germany
Nanoscale thermal transport
Jianying He
Norwegian University of Science and Technology (NTNU), Norway
Modelling of plasticity and fracture across the scales – applications to aluminium alloys
Odd Sture Hopperstad
Norwegian University of Science and Technology, Norway
Isogeometric Methods in Structural Analysis: Recent Advances and Applications
Josef Kiendl
Bundeswehr University Munich, Germany
Architected materials as a playground for homogenization
Dennis Kochmann
ETH Zürich, Switzerland
Efficient finite element procedures for bridging the scales in solid mechanics
Fredrik Larsson
Chalmers University, Sweden
Digital Twin Cities: Multi-Disciplinary Modeling and High-Performance Simulation of Cities
Anders Logg
Chalmers University of Technology, Sweden
Recent results on Virtual Element Methods
Donatella Marini
University of Pavia, Italy
Fluid-structure interactions: multiple lock-ins
Sanjay Mittal
Indian Institute of Technology Kanpur, India
Modeling and simulation of mixed-dimensional problems
Jan Martin Nordbotten
University of Bergen, Norway
Applying AI techniques to Model Fluid Flows
Christopher Pain
Imperial College London, UK
Computational Models and Experimental methods for the Human Cornea
Anna Pandolfi
Politecnico di Milano
Super-localized numerical homogenization and its links to variational multiscale and isogeometric analysis
Daniel Peterseim
University of Augsburg, Germany
Deep neural networks for accelerating fluid-dynamics simulations
Thomas Richter
Otto-von-Gutricke University Magdeburg, Germany
Robust preconditioners for poromechanics
Carmen Rodrigo Cardiel
Universidad de Zaragoza, Spain
Mathematical modelling of the human brain: from medical images to biophysical simulation
Marie Elisabeth Rognes
Simula Research Laboratory/University of Bergen, Norway
Numerical simulations of powder metallurgy processes
Jerzy Rojek
IPPT, Poland
Space-time finite element methods
Olaf Steinbach
Graz University of Technology, Austria
Recent advances in computational elasto-capillary fluid-solid interaction
Harald Van Brummelen
Eindhoven University of Technology, Netherlands
Adjoint-based optimization for industrial applications
Andrea Walther
Humboldt University of Berlin, Germany
Computing at the Exascale
Garth Wells
University of Cambridge, UK
Machine Learning Enhanced Simulation and PDE-Constrained Optimization for Material Transport Control in Neurons
Jessica Zhang
Carnegie Mellon University, USA
Modeling and Simulation Tools for Industrial and Societal Research Applications: Digital Twins and Genome-based Machine-learning
Tarek Zohdi
UC Berkeley, USA