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Embedded Systems


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.

 

Contact

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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

The overall goal of ACICS is to provide models, methods and tools that facilitate a substantial increase of dependability of cloud-based platforms for ICPS applications, with respect to consistency, security and interoperability of data, timing predictability of using shared virtual resources, together with a framework of guaranteeing QoS enforcement by formal analysis and verification.


Project manager at MDH: Cristina Seceleanu

Main financing: The Knowledge Foundation

Automation Region Research Academy (ARRAY) is an industrial postgraduate school at MDH 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 MDH: Thomas Nolte

Main financing: The Knowledge Foundation

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 MDH: Thomas Nolte

This project aims at developing innovative techniques to provide a full-fledged development environment for vehicular applications that use TSN as the backbone for on-board communication.


Project manager at MDH: Saad Mubeen

Main financing: Vinnova

The ultimate goal of the DPAC profile is to establish a nationally leading and internationally renowned research centre that facilitate close cooperation between academia and industry to achieve a significant increase in research and available knowhow on advanced dependable platforms for embedded systems.


Project manager at MDH: Kristina Lundqvist

Main financing: The Knowledge Foundation

The main goal of FIESTA is to develop new solutions that provide scalable real-time performance, in the context of collaborative and adaptive distributed legacy systems, by utilizing resource efficient consolidation while ensuring non-functional properties of timing, safety and security.


Project manager at MDH: Thomas Nolte

Main financing: The Knowledge Foundation

The overall goal of HERO is to provide a framework that enables development of optimized parallel software, automatic mapping of software to heterogeneous hardware platforms, and provision of automatic hardware acceleration for the developed software.


Project manager at MDH: Mikael Sjödin

Main financing: The Knowledge Foundation

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 MDH: Alessandro Papadopoulos

Main financing: Vetenskapsrådet (VR)

In SACSys, we address the core question of how to provide run-time guarantees of safety and cyber-security for time-critical collaborative adaptive systems.


Project manager at MDH: Marjan Sirjani

Main financing: The Knowledge Foundation

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