Date: 22.09.26 - 23.09.26

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

Abstract:

Scientific Machine Learning (SciML), the fusion of scientific computing and machine learning algorithms, has proven to be a transformative force in academia and is rapidly establishing a firm foothold in industrial applications. A foundational 2018 workshop outlined six priority research directions (PRDs) for the nascent field of SciML, anchoring future development around critical pillars such as domain awareness, robustness, and interpretability.
The SciML landscape has evolved profoundly over the past seven years. Considering these advancements, this workshop, hosted by the Centre for Advanced Analytics and Predictive Sciences at the University of Augsburg, convenes researchers from diverse disciplines to re-evaluate the original priorities within the context of current technological frontiers. Through expert keynotes, technical presentations, and collaborative breakout sessions, participants will share practical insights and critically analyze current progress and emerging challenges within the field. Our primary objective is to assess the trajectory of the original PRDs and collaboratively shape the future research agenda for SciML.
The insights generated during this two-day event will be synthesized into a comprehensive scientific article, targeting high-impact journals such as Nature Machine Intelligence or Neurocomputing.

 

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Date: 05.10.26 - 07.10.26

Organizers: Prof. Dr. Malte Peter, Prof. Dr. Jan-Frederik 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: 17.12.26 - 18.12.26

Organizers: Prof. Dr. Wendler, Prof. Dr. Kröncke, 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.

 

 

Date: t.b.a.

Organizers: Prof. Dr. Christian Weißenfels, 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.