Text

Embedded Systems


Artificial Intelligence and Intelligent Systems

Foundational and applied research in Artificial Intelligence and Machine Learning for Intelligent Systems for both industry, 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.

 

Contact

Contact

No partial template found

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, 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 universitys 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 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

Ongoing research projects

The research project ARTIMATION focuses on investigating AI (Artificial Intelligence) methods, based on the domain of XAI (Explainable Artificial Intelligence), in predicting air transportation traffic and optimising traffic flows. Safety is the major pillar to air traffic management, and no black box process can be inserted in a decision-making process when human life is involved.


Project manager at MDU: Mobyen Uddin Ahmed

Main financing: European Union’s Horizon 2020

In DIGICOGS, cutting-edge solutions will be achieved through data-driven analytics, real-time monitoring and intelligent adaptive prediction based on combination of information i.e, sensor data, domain and context.


Project manager at MDU: Mobyen Uddin Ahmed

Main financing: Vinnova, PiiA

The ESS-H+ profile will aim for an increased specialization, a significant progression, and raised scientific ambitions, as compared to ESS-H, through deepened co-production with our partner companies within one integrated Focus Area: Sensor systems for health monitoring/monitoring of humans.


Project manager at MDU: Maria Lindén

Main financing: KK-stiftelsen

To top