Date: t.b.a.

Organizers: Prof. Dr. Malte Peter, Prof. Dr. Jan Pietschmann

Abstract:

Framed within the Activity Group Analysis of Partial Differenial Equations and Calculus of Variations of GAMM (International Association of Applied Mathematics and Mechanics), this workshop addresses researchers interested in analysis of partial differential equations and calculus of variations in the context of mechanics problems. New developments and model classes in applications usually lead to new classes of partial differential equations or variational problems and new mathematical questions.
On the one hand, a rigorous understanding of the mathematical properites is important for the qualitative evaluation of the models. On the other hand, it is the basis for the development of efficient and reliable numerical methods and the treatment of concrete problems in applications. This workshop will close the gap between mathematicians and more applied researchers. We aim to identify interesting research questions with high practical relevance.

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Date: t.b.a.

Organizers: Prof. Dr. Lars Mikelsons, Prof. Dr. Michael Schlottke-Lakemper

Abstract:

Scientific Machine Learning (SciML), representing the fusion of scientific computing and machine learning (ML) algorithms, has proven to be a promising tool in academic settings and has also established itself in first industrial applications. In a seminal workshop1 in 2018 ¡ª when SciML was still much more limited in terms of real applications ¡ª six priority research directions (PRDs) were identified to guide the field, including key thrusts such as domain awareness, robustness, and interpretability.
A lot has happened in the last seven years. This CAAPS workshop convenes researchers from diverse scientific disciplines to re-evaluate the status of these 2018 priorities in the context of very recent applications. Through short poster pitches, presentations, and collaborative breakout sessions, participants will share personal experiences and analyse the current progress and challenges of the field. The primary goal is to assess the evolution of the original PRDs and contribute to the future research agenda of SciML.

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Date: t.b.a.

Organizers: Prof. Dr. Wendler, Prof. Dr. Kr?ncke, Prof. Dr. Lapa

Abstract:

This international workshop brings together rapidly advancing fields that shape modern quantitative functional diagnostics. New imaging hardware and acquisition strategies now offer higher spatial and temporal resolution while keeping - or even reducing - patient burden. These advances open new opportunities for analysing tracer dynamics, leveraging modern contrast imaging, and capturing physiological processes in (almost) real time. At the same time, more detailed physiological models provide deeper mechanistic insights into dynamic signals across PET, contrast-enhanced MRI, and ultrasound. The growing presence of artificial intelligence in data analytics and pattern recognition accelerates this progress further by extracting subtle features, estimating latent physiological parameters, and integrating multimodal data beyond the reach of traditional methods.
The workshop convenes experts and young researchers to discuss these developments and their clinical relevance. Through invited keynotes, clinical viewpoints, short presentations, and focused discussions, it explores how ¡°Imaging in Motion¡± - enabled by improved equipment, better models, and intelligent computational tools - reshapes our understanding of human physiology, improves diagnostics and strengthens interdisciplinary collaboration in this field across Europe.

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Date: t.b.a.

Organizers: Prof. Dr. Christian Wei?enfels, Prof. Dr. Michael Schlottke-Lakemper

Abstract:

This two day workshop brings together national and international experts in meshfree particle methods, with a particular focus on Smoothed Particle Hydrodynamics (SPH). Its objective is to highlight central methodological challenges and to discuss approaches that can lead to more robust and efficient numerical techniques. Meshfree methods are increasingly used for the simulation of complex physical processes, for example in additive manufacturing or biomedical flows. To be applied reliably in such demanding contexts, these methods must provide accurate results and scale on modern high performance computing systems. The workshop addresses researchers working on theoretical and algorithmic foundations as well as those applying particle methods in challenging scenarios. On the second day, algorithmic implementations will be discussed in detail. In addition, the workshop offers early career researchers and other interested participants the opportunity to engage with experienced scientists, discuss methodological questions and gain insight into established strategies.

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