Centre for Advanced Analytics and Predictive Sciences

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Past Workshops

ANALYSIS OF PARTIAL DIFFERENTIAL EQUATIONS AND CALCULUS OF VARIATIONS

Date: 10/05/2026 - 10/07/2026
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.
 
 

SciML Frontiers: Progress, Evolution, and Future Directions

Date: 09/22/2026 - 09/23/2026
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.
 
 

Digital Image Correlation in Materials Testing

Date: 07/23/2026, 07/27/2026, 07/28/2026
Abstract:

Digital Image Correlation (DIC) plays a growing role in (not restricted to) destructive characterization of structural materials. The advantage lies in the possibility of visualizing large areas for occurring deformations and strains of the object of interest under different loading conditions. This non-contact metrology is applicable to almost every material class, making its applicability almost infinite. It is not only used for the determination of material properties or for quality testing in manufacturing but also for test inspection.

The seminar describes theory and application of Digital Image Correlation for selected standardized and common state-of-the-art tests, for the mechanical characterization of structural materials under common loading conditions. The purpose of this seminar is to provide good practice guidelines for setting up and conducting Digital Image Correlation measurements in conjunction with mechanical testing of test specimens in general-purpose laboratory conditions. In order to obtain accurate and representative material data, it is important being minute and careful when planning, performing, and evaluating experiments. Many inherent difficulties of tensile, shear, flexure, and fracture testing are addressed where pertinent measurement issues are visualized with DIC.
The more you see, the less you can hide. Digital Image Correlation offers a new look at old problems of structural mechanics, presenting a detailed insight into mechanical testing of materials, which cannot be covered by point measurements.
 

Demystifying Numerical Dissipation in Simulation Codes

Date: 12/02/25 - 12/03/25
Abstract:
Numerical simulation codes for computational fluid dynamics are almost always affected by numerical dissipation in the form of numerical viscosity and numerical diffusion. The source for this error is the numerical method used and its local truncation error. Increased spatial resolution or smaller time steps typically reduce these artificial numerical errors. While scientists developing and using numerical codes acknowledge the existence of these errors, their magnitude, behavior with changing parameters or resolution, and their source, are usually less clear. Analytical calculations are possible, but become excessively complex, especially for implicit methods or anything other than finite difference methods. This limits any scientists aware of numerical dissipation to numerical experiments to understand the amount of dissipation in their code. Unfortunately, even this analysis is often not done.
 

Recent advancements in electronic structure calculations

Date: 10/22/25 - 10/24/25

Abstract:

Functional materials are ubiquitous in our daily life. To tailor material properties, tools are needed that predict the properties accurately without free parameters, starting from the basic laws of quantum mechanics. The development of such tools is a goal of both theoretical solid-state physics and quantum chemistry. This workshop will bring together experts in electronic structure theory, especially the community of TURBOMOLE developers and users, to highlight selected applications, demonstrate new features and capabilities of the code, present new theoretical developments, identify new user needs and discuss future directions.
 

Algebraic Models in Data Science and Quantum Systems

Date: 10/09/25 - 10/10/25
Abstract:
Algebraic methodology has in recent years proven to be a very versatile framework to tackle problems in applied sciences and data. Key advances include the evolution of algebraic statistics into an increasingly active research area that not only provides models for statistical data analysis but also finds numerous applications in other fields like phylogenetics, chemical reaction networks and more recently quantum chemistry. In this workshop we bring together people from the field of applied algebra with scientists working on data science and quantum systems with the goal of fostering fruitful interactions and further expanding the use of algebraic methods in the sciences.
 

From Idea to Funding: Interdisciplinary Strategies for Successful Third-Party Funding Applications

Date: 10/07/25 - 10/09/25

Abstract:

In October, the CAAPS workshop ‘From Idea to Funding: Interdisciplinary Strategies for Successful Third-Party Funding Applications’ took place in the Life Sciences. Organised by the working groups of the Chair of Technical Biology (Prof. J. Bahnemann) and Biological Physics (Prof. C. Westerhausen), the workshop focused on two closely related planned third-party funding applications. These two projects are linked by a common data strategy: targeted experimental data collection with the aim of enabling predictive statements about cellular reactions and system properties. The aim of the workshop was to advance the development of the planned third-party funding applications and to further expand the interface between quantitative life sciences, biophysics and medical technology.

Interaction of Mathematics and Technical Biology at the interface of microfluidic applications

Date: 06/25/2025 - 06/26/25
Abstract:
This workshop is aimed at PhD students and postdocs from the fields of Mathematics and Technical Biology to work at the intersection of these disciplines in the area of microfluidic systems. The goal of the workshop is to foster interdisciplinary communication and develop a better understanding of each other's work. Often, mathematicians and biologists work with different concepts, terminologies, and perspectives, which can lead to misunderstandings and communication barriers. This workshop aims to break down these barriers through hands-on activities.
 

Particle-based numerical simulations

Date: 11/05/24 - 11/06/24

Abstract:

Particle-based simulations are a versatile tool for numerically investigating complex physical systems, including fluid dynamics, solid mechanics, and multi-physics problems. They are well-suited for a number of applications that are difficult to address using traditional grid-based methods, but present their own set of challenges in terms of accuracy, stability, and computational efficiency.
 
In this workshop, researchers from various scientific disciplines come together to discuss recent advancements in particle-based simulations. In addition to exploring innovative modeling approaches and developments in numerical methods, the workshop places special emphasis on efficient algorithms and modern implementation techniques. The first day features presentations from experts in the field, while the second day hosts a hackathon, offering practitioners the chance to work on their own projects and collaborate with fellow participants.

 

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Inverse modelling in atmospheric applications

Date: 10/07/24 - 10/08/24

Abstract:

Inverse problems, or the problem of inferring unknown causes from observed effects, represent an important methodology at the intersection of applied mathematics, statistics, and diverse application domains. This workshop focuses on the application within the atmospheric sciences, encompassing both practical challenges and theoretical advancements, with a particular emphasis on data assimilation. Our aim is to bring together researchers from the diverse communities, ranging from theoretical to applied, to foster collaboration and enable fruitful discussions. In addition, our workshop will feature tutorial-style lectures and is therefore of interest for both established and younger researchers.

 

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Dynamics of interfaces: From applied math to physics and material science

Date: 03/04/24 – 03/06/24

Abstract:

Interfaces appear in many physical and biological models, and the description of their dynamic behaviour is an interesting yet highly challenging research field. Models describing such behaviour are either based on an exact description of the interface or a diffuse interface (phase field) approximation. This workshop will bring together researchers working on modelling, numerical simulation, and mathematical analysis.

 

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Interaction of mathematics and materials science

Date: 02/28/24 - 03/01/24

Abstract:

Interdisciplinary research between applied mathematicians and material scientists lays the foundation to leverage the full potential of novel materials. However, the disciplines use different terminology and have limited insight to each other’s daily work. For example, a material scientist may wonder which parameters are needed to model a specific behavior, while a mathematician wonders how certain parameters can be determined experimentally. Therefore, we organize a workshop targeted to doctoral students at the intersection of material modeling and material characterization.

 

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Employing Biophysical Concepts in Biotechnological Production

Date: 09/24/23 - 09/29/23

Abstract:

The workshop focuses on the possibilities of combining microfluidic, biophysical and biotechnological approaches to develop cellular screening platforms for bioactive agents like, e.g., nature-derived compounds, peptides, proteins, nucleic acids, under circumvention of the cell membrane as delivery barrier. The combination of transient cell transfection with the use of the strong dependence of mechanical cell membrane properties on the membrane state as function of the environmental parameters might allow to increase the efficiency of this process, elementary for personalized medicine and small-scale protein production. Combining the expertise of life scientists, physicists and cell biologists will allow for identification of most promissing hybrid approaches.

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