MOX. Digital twin for rock fall and flow in response to a climate change scenario (TWINFALL)

TWINFALL “Digital TWIN for rock FALL and flow in response to a climate change scenario” is a project carried out in collaboration between the Department

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MOX. ICOSAHOM 2027 at Politecnico di Milano (Italy) from 5–9 July 2027

We are proud to announce that ICOSAHOM 2027 – the 16th International Conference on Spectral and High-Order Methods will be held at Politecnico di Milano

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Milano. Exploring the (seemingly) Silent Brain

Understanding how the human cerebral cortex processes information and integrates activity across distributed regions is a central goal of modern neuroscience. The cortex is organized

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Milano. Probabilistic and Statistical Methods for Forensic Anthropological Identification

Forensic science often operates at the boundary between mathematics, medicine, and the law, particularly in contexts where identifying deceased individuals is both scientifically challenging and

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

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

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

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

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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