Safety-Critical Engineering

Software Testing Laboratory

Sustainable lifestyle and health from a public health perspective

The research group for studies in democracy, power and citizenship (DEM)

Transformative Management

Value-Driven Innovation and Foresight

Artificial Intelligence och Intelligent Systems

Behavioral medicine, health and lifestyle (BeMe-Health)

Care, Recovery and Health

Digital and Circular Industrial Services

Heterogeneous systems - hardware software co-design


Industrial AI Systems

Industrial Software Engineering

Information Design

MIND (Mälardalen INteraction and Didactics) research group

Model-Based Engineering of Embedded Systems

NOMP-group – New Organisation and Management Practices

Normcritical perspectives in the research into social vulnerability

Political Science

Preparing professionals for social transformation triggered by the use and development of AI applications


Product and Production Development

Real-Time Systems Design

Renewable Energy


In the project TRUST–SOS, we are developing digitalized services to increase the level of trusted decision making to optimise overall site systems in off-road transport applications.

TRUST-SOS Workshop 2

A workshop for TRUST-SOS Members was organised on 31 October.

The purpose was to present and discuss the results from the partners involved in the TRUST-SOS research project.






Main financing

Project manager at MDU

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Today, off-road sites and fleet operations involve a high degree of experience-based decision making to create the optimal usage of equipment and resources at the site and to reduce inefficiencies. Several stakeholders in the value chain, rely today on a few skilled persons for decision-making of these complex and dynamic sites and experienced-based understanding of the impact on different trade-offs. Further, several different systems need to be combined in one platform and the integration of different modules raises the issues of interoperability and applicability. Hence, there is a need to overcome the existing system inefficiencies and build a more reliable and trusted decision support system to reduce inefficiencies and manage complexity in the value chain in off-road applications.