Category: Featured Ecmi Node

Dynamic Human Model EMMA: Software for Simulating Human Movements © Fraunhofer ITWM

Kaiserslautern. From Movement to Crash – How Mathematical Models Enable More Realistic Accident Simulations

ECMI Nodes, Featured, Featured Ecmi Node, Kaiserslautern

In a traffic accident, it is not only the impact itself that determines possible injuries. The crash is often preceded by a highly dynamic situation: the vehicle brakes abruptly, occupants try to brace themselves or react reflexively to the acceleration. These movements change the posture and speed of the limbs and thus significantly influence the risk of injury at the moment of impact. This raises a key question for accident research: How can these movements be simulated realistically?

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Quantum Computing Workshops Fraunhofer ITWM

Kaiserslautern. Quantum Research at Fraunhofer ITWM: Making Future Technology Usable for Industry

ECMI Nodes, Featured, Featured Ecmi Node, Kaiserslautern

Quantum technologies are one of the most promising future technologies and are receiving a great deal of attention in the research landscape. Fraunhofer ITWM in Kaiserslautern focuses on Quantum Computing with the aim of using quantum processes to solve complex problems in science, business, and administration more efficiently. To transfer knowledge to the industry, the institute offers seminars for companies.

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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

ECMI Nodes, Featured, Featured Ecmi Node, Kaiserslautern

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

ECMI Nodes, Featured, Featured Ecmi Node, Kaiserslautern, Operational Research, optimization methods, Uncategorized

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

ECMI Nodes, Featured, Featured Ecmi Node, Kaiserslautern

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

ECMI Nodes, Featured, Featured Ecmi Node, Healthcare, Kaiserslautern, Uncategorized

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

ECMI Nodes, Featured, Featured Ecmi Node, image analysis, Kaiserslautern, Uncategorized

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

ECMI Nodes, Environment, Featured, Featured Ecmi Node, Kaiserslautern

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

ECMI Nodes, Featured, Featured Ecmi Node, Healthcare, NTNU, Trondheim, statistics

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

Computational Finance, Featured, Featured Ecmi Node

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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