Call for Minisymposia

Plenary lectures will be complemented by Minisymposia organised by recognised experts in targeted research areas, relevant for the conference topics.

Participants interested in organising a Minisymposium at ADMOS 2025 are requested to submit an abstract of the proposed MS through the conference website using the template available here .

Each MS is expected to consist of at least one 2-hour session which may be organised as follows:

- 6 invited talks of 20 minutes;
or
- 1 keynote lecture of 40 minutes + 4 invited talks of 20 minutes.

The above schedule includes time for questions and discussion. MS failing to fill six presentation slots can be completed by the conference organisers with contributed papers covering topics related to the MS.

Please feel free to contact the Congress Secretariat for any question.

MS001 Recent Progress in Direct Data-Driven Methods

Organized by: I. Markovsky (CIMNE, Spain)

Keywords: control, data-driven methods, signal processing, systems theory

MS002 Adaptive Modeling and Simulation by Immersed Boundary Methods

Organized by: E. Rank (Technical University of Munich, Germany), A. Düster (Hamburg University of Technology, Germany), M. Larson (Umea University, Sweden) and G. Scovazzi (Duke University, United States)

Keywords: CUTFEM, Finite Cell Method, Geometry Analysis Coupling, Immersed Boundary Methods, Shifted Boundary Method

MS003 Reduced Order Modeling Based on Galerkin Methods for Fluid Dynamics Problems

Organized by: F. Ballarin (Università Cattolica del Sacro Cuore, Italy) and E. Delgado Ávila (Universidad Loyola Andalucía, Spain)

Keywords: fluid dynamics, reduced order modelling

MS004 Numerical Methods For Unveiling Earth’s Critical Resources

Organized by: S. Zlotnik (UPC, Spain), A. García-González (UPC, Spain) and A. Muixi (UPC, Spain)

Keywords: data-driven methods, Geosciences, reduced order modelling

MS005 Data-driven models and digital twins: enhancing decision-making in biomedicine

Organized by: M. Aguirre (Universitat Politècnica de Catalunya, Spain) and E. Soudah (CIMNE, Spain)

Keywords: biomedicine, cardiovascular modelling, data-driven modellling, diagnostics, digital twin, medical devices

MS006 Mesh Adaptation For Flow Simulation

Organized by: A. Gargallo-Peiró (BSC-CNS, Spain) and O. Lehmkuhl (BSC-CNS, Spain)

Keywords: AMR, CFD, Mesh Adaptation

MS007 Advanced Techniques for Data Assimilation and Data-based Enrichment of Simulation Models

Organized by: L. Chamoin (ENS Paris-Saclay, France)

Keywords: data-driven methods, reduced order modelling, signal processing

MS008 Mesh Adaptation, Deformation, and Optimization: Methods and Applications

Organized by: S. Shontz (University of Kansas, United States) and J. Wackers (Centre National de la Recherche Scientifique, France)

Keywords: Applications, Mesh Adaptation, Mesh Deformation, Mesh Optimization, Numerical Methods

MS009 Predictive Machine Learning and Generative Artificial Intelligence for Scientific Discovery and Design

Organized by: M. Lupo Pasini (Oak Ridge National Laboratory, United States)

Keywords: AI4Science, Artificial Intelligence, Computational Physics, Deep Learning, Generative Models, Machine Learning

MS010 Adaptive sampling and surrogate/reduced order modelling strategies for parametric differential equations

Organized by: B. Ken (CNR-IMATI, Italy) and L. Tamellini (CNR-IMATI, Italy)

Keywords: bayesian inversion, data assimilation, design of experiments, optimization, parametric PDEs, reduced order modelling, sampling methods, surrogate models, uncertainty quantification

MS011 Adaptive Methods for Uncertainty Quantification and Inverse Problems

Organized by: T. Wildey (Sandia National Labs, United States) and A. Belme (Sorbonne Universite, France)

Keywords: bayesian inversion, inverse problems, uncertainty quantification

MS012 Data-Enhanced Modeling and Applications

Organized by: G. Stabile (Sant'Anna School of Advanced Studies, Italy) and M. Tezzele (Emory University, United States)

Keywords: Machine Learning, reduced order modelling

MS013 Error Estimation and Adaptivity Based On Hdiv/H1 Duality

Organized by: P. Devloo (FECFAU-UNICAMP, Brazil), S. Gomes (IMECC-UNICAMP, Brazil) and G. Avancini (FECFAU-UNICAMP, Brazil)

Keywords: A posteriori erro estimation, H1/Hdiv Duality, Hp adaptivity, Prager-Synge Theorem

MS014 Model Certification and Adaptivity

Organized by: U. Römer (TU Braunschweig, Germany), D. Langemann (TU Braunschweig, Germany), C. Gräßle (TU Braunschweig, Germany) and R. Jänicke (TU Braunschweig, Germany)

Keywords: error estimation, model certification, model error, reduced order modelling, surrogate models, uncertainty quantification

MS015 Goal-Oriented Error Estimation and Adaptivity

Organized by: D. Guignard (University of Ottawa, Canada), K. Kergrene (Université de Technologie de Compiègne, France) and S. Prudhomme (Polytechnique Montréal, Canada)