Intelligent Systems


Foundational and applied research in intelligent systems for industrial and medical applications. The research focuses on methods and techniques for intelligent systems and artificial intelligence enabling adaptation, learning, experience reuse, and experience sharing.

The Intelligent Systems group’s main focus are methods and techniques for intelligent systems enabling adaptation, learning, experience reuse and experience sharing.

We are active participants in a number of networks and are also well integrated with the Swedish network for production and intelligent systems. Peter Funk was chairman of the Swedish AI society (2006-2010), invited as a conference chair/organiser (ECAI Spain 2004, SAIS Västerås 2005, SCAI 2008 at IVA), session chairman and program chairman at high ranked conferences and workshops, also a guest editor and reviewer in high ranked journals. Peter was also an invited guest speaker, opponent and member of the examination board for a number of PhD vivas (Trinity Colleague Ireland, UCD, National University of Ireland, KTH, Luleå) and expert evaluator for promotion of associate professors and professor (both national and international). The research group has a good publication record in highly ranked journals and conferences.

Research Focus:
  • Research on monitoring and diagnostics (production, products and medical applications)
  • Research on decision support systems
  • Research on knowledge discovery, feature identification and data mining
  • Research on complex systems beyond modeling and simulation
  • Research on information fusion and case-based reasoning
  • Case studies and prototypes in real industrial environment
The Intelligent Systems group is one of 4 key research groups within Mälardalen University’s Intelligent Sensor Systems research profile (one of Mälardalen University's six prioritized research and education profiles with ~50 researchers, lecturer and PhD students) and the Intelligent Systems group is also an active partner in Innovation and Product Realisation profile with joint research projects and applications.

Students in our Bachelors degree and Masters programs are confronted with solving real problems for industry and in their master thesis they are strongly linked to industry and ongoing research projects. A number large number of masters projects and research projects have been performed with both SME companies and large companies, e.g. Volvo CE, ABB Automation, Volvo Aero, Volvo Cars, SKF, Ericsson and Siemens. Since the group was founded in 2000, monitoring, classification, diagnosis and decision support have been focus areas with applications in both industry and health care. We also have many "gränsgångare", many of our senior researchers have worked in industry.

Research funding from SSF ProViking, KKS, NovaMedTech, EU FP 7.
Project TitleStatus
ADAPTER: Adaptive Learning and Information Fusion for Online Classification Based on Evolving Big Data Streams active
Artificiell Intelligens för att förvandla kvalitetsregister till individanpassat beslutstöd i vården, 2017-01555 active
ESS-H - Embedded Sensor Systems for Health Research Profile active
INVIP: Indoor Navigation for Visual Impairment Persons using Computer Vision and Machine learning active
PICO - Philosophy of Information and Computing active
SafeDriver: A Real Time Driver's State Monitoring and Prediction System active
SimuSafe : Simulator of Behavioural Aspects for Safer Transport active
V-trustEE active
VDM - Vehicle Driver Monitoring active
AIM, Artificial Intelligence in Medical Applications finished
AproC, Automated Process Control finished
Computational Intelligence in Process Modelling and Prediction finished
CREATE ITEA2 finished
E-MOTIONS finished
EKEN-Efficient knowledge and experience reuse within the business world finished
El-hybrid hjullastare, Utveckling och analys med avseende på energieffektivitet, säkerhet och körbarhet finished
EMOPAC - Evolutionary Multi-Objective Optimization and Its Applications in Analog Circuit Design finished
ExAct, Intelligent experience sharing for industrial applications finished
Food4Health: A Personalized System for Adaptive Mealtime Situations for Elderly finished
Genetic Algorithm Theory finished
HR R-peak detection quality index analysis finished
IMod - Intelligent Concentration Monitoring and Warning System for Professional Drivers finished
IMPLY - Intelligent Personalisation finished
InMaint - Intelligent Monitoring and Maintenance in Production Industry finished
Pain Out, WP decision support for pain relief finished
PROEK, Ökad Produktivitet och Livskvalitet finished
Third Eye: An Intelligent Assisting Aid for Older Individuals with a Recently Acquired Visual Impairment finished

[Show all publications]

Quality Index Analysis on Camera-based R-peak Identification Considering Movements and Light Illumination (Jun 2018)
Mobyen Uddin Ahmed, Hamidur Rahman, Shahina Begum
15th International Conference on Wearable, Micro & Nano technologies for Personalized Health (pHealth2018)

Internet of Things (IoT) Technologies for HealthCare (Mar 2018)
Mobyen Uddin Ahmed, Shahina Begum, Jean-Baptiste Bastel
4th EAI International Conference on IoT Technologies for HealthCare (HealthyIoT'17)

Automated EEG Artifact Handling with Application in Driver Monitoring (Dec 2017)
Shaibal Barua, Mobyen Uddin Ahmed, Christer Ahlström , Shahina Begum, Peter Funk
IEEE Journal of Biomedical and Health Informatics (J-BHI)

Cloud-based Data Analytics on Human Factor Measurement to Improve Safer Transport (Nov 2017)
Mobyen Uddin Ahmed, Shahina Begum, Carlos Alberto Catalina , Lior Limonad , Bertil Hök , Gianluca Di Flumeri
4th EAI International Conference on IoT Technologies for HealthCare (HealthyIoT'17)

Run-Time Assurance for the E-care@home System (Nov 2017)
Mobyen Uddin Ahmed, Hossein Fotouhi, Uwe Köckemann , Maria Lindén, Ivan Tomasic, Nicolas Tsiftes , Thiemo Voigt
4th EAI International Conference on IoT Technologies for HealthCare (HealthyIoT'17)

Big Data Analytics in Health Monitoring at Home (Oct 2017)
Mobyen Uddin Ahmed, Shahina Begum
Medicinteknikdagarna 2017 (MTD 2017)

Peter Funk, Professor

Room: U1-126
Phone: +46-21-103153