MALARDALENS UNIVERSITET

Their core work

Mälardalen University (MDU) is a Swedish university specializing in software engineering for cyber-physical systems, AI-driven automation, and safety-critical software assurance. Their research groups develop methods for testing, certifying, and deploying intelligent systems across domains — from autonomous underwater vehicles to air traffic management and railway signalling. They bring strong capabilities in model-based engineering, DevOps automation, and trustworthy AI, making them a practical partner for industries that need verified, reliable software in complex systems.

What they specialise in

How they've shifted over time

In their early H2020 period (2015–2018), MDU focused on classical embedded systems concerns: autonomous underwater vehicles, cooperative cyber-physical systems, industrial diagnostics, and process optimization. From 2019 onward, their portfolio shifted decisively toward artificial intelligence — specifically trustworthy AI, explainability, and AI-augmented software engineering (DevOps, continuous testing). The thread connecting both periods is safety and reliability of complex software systems, but the toolbox evolved from formal methods and modelling toward AI-driven approaches.

MDU is converging on AI-augmented software engineering for safety-critical systems — expect them to seek partners who need verified, explainable AI in regulated industries like transport, energy, or manufacturing.

How they like to work

MDU primarily joins consortia as a specialist partner (17 of 22 projects), but has demonstrated coordination capacity in 5 projects, including their largest funded effort (FUDIPO). With 332 unique consortium partners across 26 countries, they operate as a well-connected hub rather than a closed group. Their participation in ECSEL joint undertaking projects (InSecTT, DAIS, AIDOaRt) shows they are comfortable in large industry-driven consortia alongside major electronics and software companies.

MDU has collaborated with 332 distinct partners across 26 countries, reflecting broad European reach with no narrow geographic dependency. Their ECSEL and Clean Sky participation connects them to major industrial players in electronics, aviation, and automotive sectors.

What sets them apart

MDU sits at a rare intersection: they combine deep software engineering research (formal methods, model-based development, DevOps) with applied AI for safety-critical domains. Unlike pure computer science departments, their work consistently targets real industrial systems — factories, railways, aircraft, energy grids — which means they understand both the theory and the certification requirements. For a consortium builder, MDU brings credible AI and software assurance expertise that satisfies the "trustworthy AI" requirements increasingly demanded by EU calls.

Highlights from their portfolio

• FUDIPO
  Their largest funded project (EUR 1.1M) and a coordination role — production optimization for energy and process industries, showing leadership capacity in applied industrial research.
• AIDOaRt
  Coordinated project combining AI with DevOps for continuous development — represents the convergence of their two strongest competences into a single flagship effort.
• ARTIMATION
  Coordinated project applying transparent AI to air traffic management — a high-stakes safety domain that demonstrates trust in MDU's explainable AI capabilities.