
PLENARY LECTURES

JACQUELINE CHEN
Sandia National Laboratories, USA
The convergence of exascale computing and data science towards zero-carbon fuels for power and transportation.

CHARBEL FARHAT
Stanford University, USA
Multidisciplinary Computational Sciences for Landing on Mars

ALFIO MARIA QUARTERONI
Politecnico di Milano, Italy and EPFL, Lausanne, Switzerland
Physics based models and data driven algorithms for the simulation of the heart function.
SEMI PLENARY LECTURES

NIKOLAUS ADAMS
Munich Institute of Integrated Materials, Energy, and Process Engineering, Germany
Beyond super-resolution – effective numerical sampling of complex fluid flow

YURI BAZILEVS
Brown University, USA
Stabilized and Multiscale Methods: Unifying CFD for Science and Engineering

RAMON CODINA
Universitat Politècnica de Catalunya, Spain
Stabilization and accuracy enhancement using artificial neural networks for reduced order models in flow problems

ANTONIO HUERTA
Universitat Politècnica de Catalunya, Spain
Face-centered solvers for robust CFD simulations

DAVID LE TOUZÉ
École Centrale de Nantes, France
Modeling complex free-surface flow with the Smoothed Particle Hydrodynamics method, from theory to application.

SIMONA PEROTTO
Politecnico di Milano, Italy
Innovative design of structures and materials: multi-objective, multi-scale and multi-physics scenarios

ANNE-VIRGINIE SALSAC
Université de Technologie de Compiègne, France
Fluid-structure interactions of liquid-core microcapsules in flow.

SPENCER SHERWIN
Imperial College of London, UK
Advancing spectral/hp element high fidelity simulation of incompressible and compressible flows

IRENE VIGNON-CLEMENTEL
INRIA, France
Blood flow simulations for disease and surgical treatment understanding

WOLFGANG A. WALL
Institute for Computational Mechanics & Center for Computational Biomedical Engineering Technical University of Munich (TUM), Germany
Potential of Probabilistic Thinking and Supercomputing for (Coupled) Computational Fluid Dynamics

KAREN E. WILLCOX
The University of Texas at Austin, USA
Nonlinear manifold approximations for reduced-order modeling of nonlinear systems

MATTHEW ZAHR
University of Notre Dame, USA
High-Order Implicit Shock Tracking for High-Speed Flows