The FOR 5492 researchers and PIs at the recent project meeting at Hinterstoder, Austria (22. – 24.02.2026).

Kaiserslautern. From CAD to Computation: Advanced Shell Analysis with (SB-)Isogeometric Methods

From complex architectural roofs to lightweight engineering structures, thin shells are everywhere in modern design. This blog post explores how advanced isogeometric and scaled-boundary methods can improve the numerical analysis of such structures while enabling flexible and efficient mesh generation.

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Better Decisions in Production: The Power of Operations Research

Kaiserslautern. Better Decisions in Production: The Power of Operations Research

Operations Research (OR) helps make complex decisions by using mathematical models and methods to optimize processes. From production and logistics to investment decisions – Operations Research ensures that resources are used efficiently and overall operations are improved. In this way, OR enables companies and organizations to make faster, well-founded decisions that save time and money.

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Embedded World 2026

Kaiserslautern. Agentic Artificial Intelligence Accelerates Embedded Development

At the Embedded World Exhibition and Conference in Nuremberg, the Fraunhofer Institute for Industrial Mathematics ITWM, together with the Rhineland-Palatinate Technical University Kaiserslautern-Landau (RPTU), is presenting a system that fundamentally accelerates the development of embedded AI applications: »Neural Architecture Search Engine (NASE)« with Hardware in the Loop.

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Diagnostic Tool for Rare Diseases: Mathematics for Medicine How our researchers use mathematical models to detect rare diseases more quickly. © Patrick Pollmeier / Hochschule Bielefeld (HSBI) Diagnostic Tool for Rare Diseases: Mathematics for Medicine How Our Researchers Use Mathematical Models to Detect Rare Diseases More Quickly © Patrick Pollmeier / Hochschule Bielefeld (HSBI) Diagnostic Tool for Rare Diseases: Mathematics for Medicine How Our Researchers Use Mathematical Models to Detect Rare Diseases More Quickly Diagnostic Tool for Rare Diseases: Mathematics for Medicine How our researchers use mathematical models to detect rare diseases more quickly. © Patrick Pollmeier / Hochschule Bielefeld (HSBI) Diagnostic Tool for Rare Diseases: Mathematics for Medicine How Our Researchers Use Mathematical Models to Detect Rare Diseases More Quickly © Patrick Pollmeier / Hochschule Bielefeld (HSBI) Diagnostic Tool for Rare Diseases: Mathematics for Medicine How Our Researchers Use Mathematical Models to Detect Rare Diseases More Quickly Diagnostic Tool for Rare Diseases: Mathematics for Medicine How our researchers use mathematical models to detect rare diseases more quickly. © Patrick Pollmeier / Hochschule Bielefeld (HSBI)

Kaiserslautern. Detecting Rare Diseases Faster Thanks to Mathematical Models

Rare diseases affect more people than one might think, but they are often difficult to diagnose. On average, it takes years for patients to receive a diagnosis. In this project, our researchers are working with the pharmaceutical company Chiesi to develop a mathematical support tool that will help doctors identify rare diseases more quickly and test for them in a targeted manner.

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The Shape is Decisive – AI-Based Particle Separation in Computed Tomography Images of Rock Aggregates Project »KIBi«: 3D Image Analysis and AI Improve Quality Control of Aggregates in Building Materials © Fraunhofer ITWM, iStockphoto

Kaiserslautern. The Shape is Decisive – AI-Based Particle Separation in Computed Tomography Images of Rock Aggregates

In the »KIBi« project, we are working with our partners to develop an AI-supported process that automatically separates and characterizes aggregates in CT images, thereby simplifying and improving quality assurance and production control in the building materials industry. It is part of a special transfer program run by the Fraunhofer-Gesellschaft and the German Research Foundation (Deutsche Forschungsgemeinschaft DFG).

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Digital Twin for Tire Abrasion – Fraunhofer ITWM Develops Virtual Models for More Sustainable Mobility

Kaiserslautern. Digital Twin for Tire Abrasion – Fraunhofer ITWM Develops Virtual Models for More Sustainable Mobility

Tire abrasion is one of the largest sources of microplastics in Europe, polluting the air, soil, and water. With the SUMERA project, the Fraunhofer Institute for Industrial Mathematics ITWM, with support from the state of Rhineland-Palatinate, is developing a digital model that comprehensively simulates tire abrasion for the first time and makes emissions predictable.

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Trondheim. Designing Fairer Futures: How CHAIN Uses Data to Reduce Global Health Inequality

By Terje Andreas Eikemo, Sara Martino and Andrea Riebler Around the world, education and health shape each other in powerful ways. People with more years

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Trondheim. The Geometry of Data – Why Machine Learning Needs Signatures

By Kurusch Ebrahimi-Fard and Fabian Harang Introduction Think of scribbling a digit on a digital tablet. You might write the number ’3’ slowly, with hesitations,

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Trondheim. The 2nd Ethiopian Study Group with Industry 

By Dietmar Hömberg  (NTNU/WIAS), Zerihun Kinfe Birhanu (Hawassa University) and Anne Kværnø (NTNU) The 2nd Ethiopian Study Group with Industry took place at Addis Ababa University of

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Trondheim. Midnight Sun Summit in Mathematics and Engineering

This conference will take place on June 15-19, 2026in Narvik, Norway with the following objectives: Confirmed speakers of this summit include: For more information see https://uit.no/tavla/artikkel/881164/midnight_sun_summit_in_mathematics_and_engineering

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