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Electrical and Computer Engineering


Complex Real-Time Embedded Systems

We focus on execution and analysis of real-time systems, with a particular focus on multiprocessor scheduling techniques, synchronization protocols, predictable execution of real-time systems, compositional theory and technology, and similar topics related to predictability of real-time systems.

 

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We also work with communication protocols and architectures based on Switched Ethernet. The most recent research direction is cloud and industrial Internet of Things (IoT). In summary: timing, execution, analysis and modeling of complex embedded real-time systems.

 

We conduct research in the following areas

  • Multiprocessor scheduling and synchronization
  • Predictable execution of real-time systems
  • Source code analysis for industrial embedded software
  • Simulation-based analysis of complex embedded systems
  • Stochastic and statistical analysis of real-time systems
  • Real-time communications
  • Adaptive and reconfigurable real-time systems
  • Compositional execution and analysis of real-time systems
  • Cloud and the Industrial Internet of Things

Ongoing research projects

ARRAY - Automation Region Research Academy

Automation Region Research Academy (ARRAY) is an industrial postgraduate school at MDU in a close collaboration with several of the world’s foremost companies in automation and robotics. ARRAY contributes to increased competence and development in scientific areas that are of strategic relevance to Swedish industry.


Project manager at MDU: Thomas Nolte

Main financing: The Knowledge Foundation

Cloud and the Industrial Internet of Things Initiative

This initiative will conduct key research needed to enable ubiquitous access to cloud services in real-time, making this technology available also to operations in industrial systems.


Project manager at MDU: Thomas Nolte

PSI: Pervasive Self-Optimizing Computing Infrastructures

Detta projekt syftar till att tillhandahålla en samling programvarukomponenter som dynamiskt kan optimera IIoT-infrastrukturen. PSI riktar sig till en förbättrad resursanvändning av systemet genom kontinuerliga och distribuerade systemomfattande optimeringar.


Project manager at MDU: Alessandro Papadopoulos

Main financing: Vetenskapsrådet (VR)

See completed projects (26st)