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Intelligent Systems

Focus:Foundational and applied research in intelligent systems for industrial and medical applications.
Leader: Peter Funk
Members: Peter Funk, Gordana Dodig-Crnkovic, Ning Xiong, Mobyen Uddin Ahmed, Shahina Begum, Bo von Schéele, Tomas Olsson, Taha Kahn
Former: Roger Jonsson, Markus Nilsson, Mikael Sollenborn, Ella Olsson, Muhammad Sharfi Najib
Funding:SSF, KKS, and MdH
WWW: http://www.idt.mdh.se/ai
 

Group description    [ More info at group's homepage ]

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.
 

Ongoing research projects  [ Show all projects ]

 

Latest group publications   [ Show all group publications ]


Classification of Physiological Signals for Wheel Loader Operators Using Multi-Scale Entropy Analysis and Case-Based Reasoning, Shahina Begum, Shaibal Barua (external), Reno Filla ( Emerging Technologies, Volvo Construction Equipment, ), Mobyen Uddin Ahmed, Expert Systems with Applications , vol Accepted, Elsevier, July, 2013

Fuzzy Rule-Based Similarity Model Enables Learning from Small Case Bases, Ning Xiong, Applied Soft Computing, in press, Elsevier, June, 2013

EEG Sensor Based Classification for Assessing Psychological Stress, Shahina Begum, Shaibal Barua (external), 10th International Conference on Wearable Micro and Nano Technologies for Personalized Health, Tallinn, June, 2013
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  • Latest update: 2012.08.24