Industry: Automotive & Transportation

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Innovative simulation and test solutions for trustworthy data-centric AI

August 11, 2026

Trustworthy AI begins with trustworthy data. Discover how Siemens and KU Leuven are performing research along this line, aiming to enable trustworthy data-centric AI for engineering applications. We consider the rich variety of engineering data, from modeling and simulation to test data acquisition, throughout product design and validation up to real-world operation. Check our blog to learn about our research towards trustworthy data-centric AI, together with KU Leuven in the frame of our research project SATISFY.AI, with support from the Flanders Innovation & Entrepreneurship Agency (VLAIO).

By Claudio Colangeli and Stijn Donders
5 MIN READ
An abstract digital visualization displaying data flow and network connectivity. Glowing lines in blue, red, orange, and yellow stream across a dark blue background filled with binary code, circuit patterns, and data analytics charts. Illuminated dots and nodes cluster on the right side, representing data points or network nodes. The left side shows various digital interface elements including graphs, percentages, and monitoring icons, creating a representation of big data processing, artificial intelligence, or network analysis.

Leveraging know-how with AI into efficient product design

July 14, 2026

Is your engineering data a hidden goldmine? Overcome the ‘cold start’ problem in AI by using geometric similarity and transfer learning to transform existing models and simulations into powerful assets, speeding up product design and innovation

By Nicolas Lammens and Stijn Donders
5 MIN READ

ML for Industrial CAE – “Just scale it”

April 7, 2026

By scaling up ML, engineers can more quickly iterate and optimize their product design, thanks to faster simulations. ML can speed up traditional methods, which makes it easier to integrate their capabilities within established company software and processes. Read about our ML engineering innovation journey in the frame of the research project ML4SIM!

By Adrien Scheuer, Onur Atak and Stijn Donders
9 MIN READ

Agent studio: A multi-agent system for systems engineering

December 12, 2024

This blog post shows a proof-of-concept implementation about a multi-agent system powered with large language model to enhance systems engineering workflow.

By Kai Liu, Chad Ghalamzan and Arquimedes Canedo
5 MIN READ
Figure 2 - UD tape TECHNYL Lite C118 T130 C60 (©DOMO)

Lightweighting by engineered composite materials, manufacturing and performance

October 8, 2024

Building bridges with simulation The development of new products increasingly demands the use of novel materials crafted through advanced manufacturing…

By Adrien Scheuer and Stephan Lehmann
6 MIN READ

Enabling sound design through more accurate industrial vibro-acoustic trim models

April 19, 2024

Current-day product design engineers from many industries (manufacturers of cars, trains, planes, industrial machinery, white goods, smartphones, …) find themselves…

By Stijn Jonckheere
5 MIN READ
Automotive. Creative glowing car hologram interface on dark blue background. Transport diagnostics and futuristic technology concept. 3D Rendering

Simcenter meets Catena-X

May 23, 2023

Find out what happened with Simcenter met Catena-X. This project was created to support and speed up the transformation of the automotive industry.

By Arianna Bosco
3 MIN READ