ITEA 4 is the Eureka Cluster on software innovation
ITEA 4 is the Eureka Cluster on software innovation

Mälardalen University

Mälardalen University (abbreviated MDH) is one of Sweden’s large institutes of higher education. The University is characterized by its close cooperation with companies and with the public a sector in the region and by its distinct environmental profile.

At MDH, one of the strongest research environments is Embedded Systems (ES). ES has a strong national and international scientific position, where it consists of 17 collaborating research groups including 17 full professors, 11 visiting professors, 10 adjunct professors, 19 associate professors (“Docents”), 40 additional senior researchers (PhDs), 19 of which share time between industry and academia, 80 PhD students (of which 30 have completed a licentiate degree and 22 are industrial PhD students), and 7 supporting staff. In the past five years the ES research specialization has produced 1027 published peer-reviewed scientific papers, i.e., approximately 200 publications annually, several in proceedings of internationally leading conferences and journals. In addition, during these five years, 44 PhD dissertations and 51 licentiate theses have been presented.

Over the last decade, ES has established MDH as the leading research organization in embedded systems software technology in Sweden. ES consists of the six mutually supportive and cooperating focus areas that are supported by different research groups. In particular, the proposed research will be conducted within the Artificial Intelligence and Intelligent Systems (AIresearch group at MDH.

The group is focusing on foundational and applied research in Artificial Intelligence and Machine Learning for Intelligent Systems for both industrial, medical and business applications. The research focuses on methods and techniques enabling learning, reasoning, experience reuse, and experience sharing. We work with both autonomous AI applications as well as decision support systems. The group is consisting of 10-12 people, has a long history of successful collaborations in both national and international research projects. The research group has a good publication record in highly ranked journals and conferences.

The research covers by the Intelligent systems group on adaptive methods and techniques for intelligent/smart systems and artificial intelligence enabling adaptation, learning, experience reuse, and experience sharing.

Research Focus:

  • Research on multimodal Machine Learning and Reasoning for a wide area of application in industry and health care for monitoring, classification, diagnostics, prediction and decision support.
  • Research on multivariate data analysis, feature extraction and selection, data mining, and knowledge discovery
  • Research on Intelligent sensor, data fusion and sensor signal abstraction
  • Research on Big data to Smart Data and Predictive analytics
  • Research on Distributed Artificial Intelligence and Machine Learning for Big data
  • Research on Deep learning for Image Processing and Computer Vision

Awards and Achievements  

The Artificial Intelligence and Intelligent Systems the group at Mälardalen University is one of the most productive and successful AI groups in Sweden according to Sweden's innovation agency. (Vinnova’s governmental report of April 2018, ranked 6th amongst universities and institutes in Sweden). Members of the group are frequently notified by Research gate to be the most read authors of scientific papers in the department. Members of the group are frequently invited to give speeches, both internationally, at companies (ABB, Siemens, Hägglunds, etc) and by government organisations (e.g. VR, Vinnova) and conferences with an audience up to 1000 participants.


Alt Sweden


ITEA 3 Call 7


Next Generation Automated Security Testing

ITEA 3 Call 7


Automated Quality Assurance and Optimization in Incremental Industrial Software Systems Development

ITEA 3 Call 5


Blended Modelling for Enhanced Software and Systems Engineering

ITEA 3 Call 4


Boosting Design Efficiency for Heterogeneous³ Systems

ITEA 3 Call 4


eXcellence In Variant Testing

ITEA 3 Call 3


The Next Level of Test Automation

ITEA 3 Call 1


Affordable Safe & Secure Mobility Evolution

ITEA 2 Call 5


Advanced Test Automation for Complex and Highly-Configurable Software-intensive Systems

ITEA 2 Call 5


Creating evolution capable cooperating applications in industrial automation

ITEA 2 Call 4


Timing Model - TOols, algorithms, languages, methodology, USE cases



Flexible Global Product Development and Integration