Mälardalen University
About
MDU has campuses in Eskilstuna and Västerås. Around 20 000 students study courses and programmes in Design and Communication, Economics, Healthcare, Education, Engineering, Chamber Music and Opera.
Artificial Intelligence and Intelligent Systems To create intelligent behaviour in systems and services we use artificial intelligence including machine learning and reasoning, deep learning, data analysis, knowledge discovery, ontologies, domain knowledge, instance-based learning, deep learning, and multi-agent systems (MAS) to mention some of the methodologies and techniques. AI is today an essential "core" technology in many projects which is reflected in our broad collaboration with other groups, projects and universities both national and international.
Research Focus: Research on 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 Data analysis, feature extraction and selection, data mining, and knowledge discovery Research on Intelligent sensors, 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 group at Mälardalen University is one of the 6 most productive and successful AI groups in Sweden according to Sweden's innovation agency (Vinnova’s governmental report of April 2018). 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 of up to 1000 participants. Peter Funk was nominated and is listed on IVAs (the Royal Swedish Academy of Engineering Sciences) 100-list of influential researchers in digitalization (based on a set of criteria including innovation potential, productivity, application in society, and scientific excellence).
Teaching and Bachelor/Masters Thesis
The AI group has courses on all levels from bachelor level, a master level, PhD courses and for companies where staff wish to extend their knowledge in Artificial Intelligence. The courses are consistently getting high ratings from students in course evaluation. Students in our Bachelors's and Masters's programs are confronted with solving real problems for health care and industry and in their master's thesis, they are strongly linked to ongoing research projects. A large number of master’s projects and research projects have been performed with both SME companies and large companies, e.g. SAAB Group, Volvo CE, ABB Automation, GKN (former Volvo Aero), Volvo Cars, SKF, Ericsson and Siemens.
Mention some courses we are involved in teaching: Applied Artificial Intelligence, Project in intelligent embedded systems, Machine Learning With Big Data (a distance course for industrial professionals), Deep learning for industrial imaging, Predictive analytics etc.
Funding and Grants
The AI group has much collaboration with industry and projects in healthcare, industry and business sector with an interest and need for AI and ML competence. We are always looking for new companies and organisations to collaborate with, much of the funding we receive requires co-funding from companies and we are always looking for partners for interesting and applied AI projects, don’t hesitate to contact us if you have an idea or challenge we may help with, we are both collaborating with large multinational, organisations and Small medium-sized companies.
Cluster 4: Digital & Industry
Cluster 5: Mobility
Cluster 5: Energy
Cluster 1: Health
Representatives
Professor in Artificial Intelligence/Computer Science
Mälardalen University
Associate Professor
Mälardalen University
Professor in Software Engineering
Mälardalen University