Intelligent Systems

Focus:

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
ESS-H - Embedded Sensor Systems for Health Research Profile active
Food4Health: A Personalized System for Adaptive Mealtime Situations for Elderly 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
Third Eye: An Intelligent Assisting Aid for Older Individuals with a Recently Acquired Visual Impairment 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
Genetic Algorithm Theory 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

[Show all publications]

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

Vision-Based Remote Heart Rate Variability Monitoring using Camera (Oct 2017)
Hamidur Rahman, Mobyen Uddin Ahmed, Shahina Begum
4th EAI International Conference on IoT Technologies for HealthCare (HealthyIOT'17)

Distributed Multivariate Physiological Signal Analytics for Drivers’ Mental State Monitoring (Oct 2017)
Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum
4th EAI International Conference on IoT Technologies for HealthCare (HealthyIOT'17)

Food4You: A Personalized System for Adaptive Mealtime Situations for Elderly (Oct 2017)
Shahina Begum, Birgitta Kerstis , Shaibal Barua, Hanna Westerlund , Cecilia Hjortsberg
Medicinteknikdagarna 2017 (MTD 2017)

In-Vehicle Stress Monitoring Based on EEG Signal (Jul 2017)
Shahina Begum, Shaibal Barua, Mobyen Uddin Ahmed
International Journal of Engineering Research and Applications (IJERA)

MapReduce distributed highly random fuzzy forest for noisy big data (Jul 2017)
Faruk Mustafic, Ning Xiong, Francisco Herrera, Sergio Ramrez
13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery 2017 (ICNC-FSKD-2017)

Peter Funk, Professor

Email: peter.funk@mdh.se
Room: U1-126
Phone: +46-21-103153