- MS01 - Numerical Methods for Mean Field Games (Iain Smears, Francisco J. Silva, Yohance A. P. Osborne, Harry Wells)
- MS02 - New Perspectives in Geometric Numerical Integration and Beyond (Mechthild Thalhammer)
- MS03 - Learning PDE-Based Models from Data (Martin Holler, Erion Morina, Kostas Papafitsoros)
- MS04 - Numerical Methods for PDEs Involving Multiple Scales and/or Uncertainties (Sebastian Krumscheid, Roland Maier)
- MS05 - Modelling & Stable Approximation Methods for Mixtures and Complex Fluids (Aaron Brunk, Dennis Trautwein)
- MS06 - Mathematical Modelling in Wildfire Spread (Koondanibha Mitra, Qiyao (Alice) Peng, Cordula Reisch)
- MS07 - Advances in Numerical Methods for Problems from Fluid Mechanics (Naveed Ahmed, Abhinav Jha, Volker John)
- MS08 - Data Driven Optimization for Inverse Problems: Theory and Computational Advances (Simon Weissmann, Mathias Staudigl)
- MS09 - Numerical Methods for Inverse Problem (Ruma R. Maity, Yuya Suzuki, Heiko Gimperlein)
- MS10 - Reduced- and Mixed-Precision Algorithms and Theory for Scientific Computing (Matteo Croci, Erin Claire Carson)
- MS11 - Statistical Learning Theory in Scientific Machine Learning (Mario Maric, Niklas Reinhardt, Sven Wang, Jakob Zech)
- MS12 - Sampling Based Methods for Inverse Imaging Problems: Theory and Applications (Andreas Habring, Thomas Pock)
- MS13 - Computational Methods for Dynamical Systems and PDEs of Fractional Order (Roberto Garrappa, Kateryna Marynets)
- MS14 - Advances on Structure-Preserving Numerical Methods for Nonlinear PDEs (Alexander Kurganov, Maria Lukacova)
- MS15 – Two-Scale Modeling and Coupled Simulations of Multiphysics Problems (Carina Bringedal, Ishaan Desai)
- MS16 - Understanding Characteristic Behavior Appearing in Fluid-Structure Interactions by Modeling, Analysis and Numerics (Thomas Richter, Sebastian Schwarzacher)
- MS17 - Latest Advancements in Floating-Point Arithmetic with Probabilistic Rounding (Silviu Ioan-Filip, Mantas Mikaitis)
- MS18 - Novel Paradigms in Finite Element Methods (Philip Lederer, Christoph Lehrenfeld, Paul Stocker, Igor Voulis)
- MS19 - Advances in Numerical Methods for Complex Quantum Systems (Christian Döding, Benjamin Dörich, Moritz Hauck)
- MS20 - Local and Nonlocal Transport in Single and Multiple Scale Heterogeneous Processes (Dumitru Trucu, Florin Adrian Radu)
- MS21 - New Perspectives on Numerical Methods for Multiscale and Multiphysics Problems (CAMWA50) (Fabio Credali, Alexander Düster, Waldemar Rachowicz, Ludmil Zikatanov)
- MS22 - Innovative Discretization Techniques and Solvers for PDEs (CAMWA50) (Daniele Boffi, Fleurianne Bertrand, Jichun Li)
- MS23 - Approximation and Inference with Kernels (Toni Karvonen, Gabriele Santin, Tizian Wenzel)
- MS24 - Adaptivity in Space and Time (Marius Paul Bruchhäuser, Bernhard Endtmayer, Nils Margenberg)
- MS25 - Numerical Methods for Moving Interface and Free Boundary Problems (Philip J. Herbert, Chandrasekhar Venkataraman)
- MS26 - Numerical Methods for Coupled Problems in Geophysics (Fleurianne Bertrand, Jakub Both, Thomas Wick)
- MS27 - Monge-Ampère Equations: Numerical Methods and Applications (Koondanibha Mitra, Jan ten Thije Boonkkamp)
- MS28 - Machine Learning Augmented Solution of Inverse Problems (Stephan Schmidt, Long Chen, Nicolas R. Gauger)
- MS29 - On the Interaction of PDE Solvers and Machine Learning (Axel Klawonn, Alexander Heinlein, Janine Weber)
- MS30 - Approximation Theory meets Statistical Learning: Challenges and Opportunities in Scientific Machine Learning (Nicola Rares Franco, Nicholas H. Nelsen, Simone Brugiapaglia)
- MS31 - Geometric Optimization Methods for Scientific Machine Learning (Marius Zeinhofer, Johannes Müller)
- MS32 - Numerical Methods for Nonlinear and Coupled Processes (Iuliu Sorin Pop, Martin Vohralik)
- MS33 - Recent Advances in Rare Event Estimation (Oindrila Kanjilal, Vincent Chabridon, Julien Bect)
- MS34 - Recent Developments in Semi-Lagrangian and Related Methods with Applications to Vlasov Type Equations (Michel Mehrenberger, Eric Sonnendrücker)
- MS35 – Physics-Consistent Generative Modeling (Nikolaj T. Mücke, Benjamin Sanderse, Nils Thürey)
- MS36 - Numerical Aspects of Sea-Ice, Ocean and Ice Sheet Modelling (Carolin Mehlmann, Josefin Ahlkrona)
- MS37 - Iterative Methods for Regularization of Large-Scale Inverse Problems (Per Christian Hansen)
- MS38 - Developments in Uncertainty Quantification for Kinetic Equations (Emil Løvbak, Chinmay Patwardhan)
- MS39 - Data-Driven Methods in Simulation, Control and Optimization (Manuel Schaller, Carmen Gräßle)
- MS40 - Modeling and Simulation of Coupled Problems in Biology and Medicine (Jonas Knoch, Eberhard Bänsch)
- MS41 - Advanced Polytopal Element Methods for PDEs (Francesca Bonizzoni, Sergio Alejandro Gomez Macias)
- MS42 - Uncertainty Quantification for Materials & Mechanics (Sharana Kumar Shivanand, Linus Seelinger, Sebastian Krumscheid)
- MS43 - Recent Developments in the Numerical Analysis of Nonlinear PDE (Alexei Gazca, Alex Kaltenbach)
- MS44 - Latent Dynamics: Learning, Simulation and Control (Matteo Tomasetto, Andrea Manzoni, J. Nathan Kutz)
- MS45 - Numerical Methods for Hyperbolic PDEs on Non-Standard/Cut Meshes (Christian Engwer, Sandra May)
- MS46 - Computationally Efficient Numerical Methods on Modern Hardware Architectures (Vadym Aizinger, Peter Bastian)
- MS47 - Inverse Problems in Cardiac Electrophysiology (Sebastian Krumscheid, Maximilian Kruse, Axel Loewe)
- MS48 - Interface Dynamics: Phase-Field Modelling and Numerical Solutions (Carmen Tretmans, Pelin Çiloğlu)
- MS49 - PDE Models and Algorithms for Biomedical Applications (Mariya Ptashnyk, Elfriede Friedmann)
- MS50 - Mixed-Dimensional and Immersed Problems: Numerical Discretization, Analysis and Applications (Denise Grappein, Miroslav Kuchta, Stephan Lunowa)
- MS51 - Efficiency and Reliablity in Time-Dependent Wave Equation Galerkin Solvers (Marcus Grote, Omar Lakkis)
- MS52 - Higher-Order Time Discretizations and Space-Time Galerkin Methods for Evolution Problems (Omar Lakkis, Thomas Wihler)
- MS53 - Numerical Methods with Applications in Geophysical Flows (Paul Vigneaux, Enrique D. Fernández-Nieto)
- MS54 - Structure-Preserving Scientific Machine Learning and Neural Networks (Benedikt Brantner, Tomasz Tyranowski)
- MS55 - Advancements and Applications of Solvers for PDE Systems with Nonsmooth Structures (Ioannis Papadopoulos, Michael Hintermüller)
- MS56 - Surrogate Modelling (Josephine Westermann, Benno Huber, Jakob Zech)
- MS57 - Numerical Optimization in Machine Learning (Pierfrancesco Beneventano, Evelyn Herberg)
- MS58 - Young Researchers’ Perspectives to Bayesian Uncertainty Quantification (Loiuse Kluge, Hans Reimann)
- MS59 - Novel Discretizations and Efficient Numerical Schemes in Structural Mechanics (Andreas Rademacher, Andreas Schröder, Thomas Wick)
- MS60 - Hardware-Oriented Numerical Techniques on Accelerator Hardware (Stefan Turek, Axel Klawonn, Gerhard Wellein)
- MS61 - Quantum Computation for Numerical Mathematics (Matthias Deiml, Julian Berberich)
- MS62 - Analytical Aspects of Graph-Based Machine Learning (Tim Laux, Fabius Krämer, Leon Bungert)
- MS63 - Randomised Numerical Methods in Approximation and Linear Algebra (Jonas Latz, Stefan Güttel)
- MS64 - Numerical Methods for PDE-based Inverse Problems (Leila Taghizadeh, Tram Thi Ngoc Nguyen, Christian Aarset)
- MS65 - Recent Industrial Applications of Coupled Flow and Geomechanics Models (Tameem Almani, Osman Hamid)
- MS66 - Optimal Design and Control Under Uncertainty (Karina Koval, Niklas Baumgarten)
- MS67 - Advances in Lagrangian-Eulerian Schemes for Hyperbolic Systems of Conservation Laws (Elena Bachini, Eduardo Abreu, John Perez, Mario Putti)
- MS68 - Uncertainty Quantification in Bayesian Inverse Problems (Duc-Lam Duong, Karina Koval)
- MS69 - Multiphysics Computational Modeling of the Brain Function (Ivan Fumagalli, Miroslav Kuchta, Paola F. Antonietti)
- MS70 - Recent Advances in Mathematical and Computational Methods for Cardiac Biomechanics (Sofia Botti, Ngoc Mai Monica Huynh)
- MS71 - Optimization and Numerics in Nonlinear Spaces (Oliver Sander, Anton Schiela)
- MS72 – Data-Driven Modeling, Uncertainty Quantification and Applications (Heikki Haario, Martin Simon)
- MS73 - Advances in Local Meshfree Collocation Methods (Oleg Davydov, Pratik Suchde)
- MS74 - The Challenges in Bifurcation Analysis of Large-Scale Non-Smooth Dynamical Systems. (Wim Vanroose)
- MS75 - Interacting Particle Methods for Inference and Data Assimilation: Accuracy, Stability, and Efficiency (Claudia Schillings, Jana de Wiljes TU Ilmenau, Alix Leroy)
- MS76 - Numerical Approximation of Stochastic (Partial) Differential Equations (Akash Sharma)
- MS77 - Bridging Theoretical and Practical Aspects of Digital Twin Development: Numerical Methods and Industrial Applications (Tommaso Bradde, Ion Victor Gosea, Ashwin Nayak)
- MS78 - Deep Learning for Reduced Order Modeling of Physical Systems (Simone Brivio, Nicola Franco, Andrea Manzoni)
- MS79 - Inference Methodologies for High-Dimensional and Multiscale Stochastic Systems (Andrea Zanoni, Grigorios A. Pavliotis)
- MS80 - Advanced Methods for Data-Driven Modeling in Porous Media Applications (Birane Kane, Jakub Both, Tor Harald Sandve)
- MS81 - Low-Rank Tensor Methods for Parametric and Multiscale Problems (Stanislav Budzinskiy, Vladimir Kazeev)
- MS82 - The Mathematics of Pathology: Quantitative Methods (Stefan Engblom, Fred Vermolen)