Model-Based Engineering of Embedded Systems

Focus:

Development of methods and tools for model-based engineering of embedded systems. Including: models for architectural and behavioral descriptions of system and requirements for systems, techniques for analyzing and transforming models, and runtime architectures for resource efficient, predictable embedded systems.



Here you find some of the achievements of MEES group and code of our implementations.

  • Hierarchical scheduling framework implementation in FreeRTOS operating system can be downloaded from this link.
  • Rafia is the author/developer of the Multi-Resource server  that provides composable hierarchical scheduling on multi-core platforms. We extend traditional server-resources by associating a memory-bandwidth to each server; thus a multi-resource server has both CPU-bandwidth and memory bandwidth allocated to it. The multi-resource servers are useful to provide partitioning, composability and predictability in both hard and soft real-time systems.

[Show all publications]

Static Flow Analysis of the Action Language for Foundational UML (Oct 2018)
Jean Malm, Federico Ciccozzi, Jan Gustafsson, Björn Lisper, Jonas Skoog
International Conference on Emerging Technologies and Factory Automation (ETFA'18)

Designing Compact Convolutional Neural Network for Embedded Stereo Vision Systems (Sep 2018)
Mohammad Loni, Amin Majd , Abdolah Loni , Masoud Daneshtalab, Mikael Sjödin, Elena Troubitsyna
IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2018)

ADONN: Adaptive Design of Optimized Deep Neural Networks for Embedded Systems (Aug 2018)
Mohammad Loni, Masoud Daneshtalab, Mikael Sjödin
21st Euromicro Conference on Digital System Design (DSD'18)

Measurement-based evaluation of data-parallelism for OpenCV feature-detection algorithms (Jul 2018)
Jakob Danielsson, Marcus Jägemar, Tiberiu Seceleanu, Mikael Sjödin, Moris Behnam
Staying Smarter in a Smartening World (COMPSAC'18)

Using Optimization, Learning, and Drone Reflexes to Maximize Safety of Swarms of Drones (Jul 2018)
Amin Majd , Adnan Ashraf , Elena Troubitsyna , Masoud Daneshtalab
IEEE Congress on Evolutionary Computation (IEEE CEC'18)

A Customized Processing-in-Memory Architecture for Biological Sequence Alignment (Jul 2018)
Nasrin Akbari , Mehdi Modarressi , Masoud Daneshtalab, Mohammad Loni
IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP'18)

Mikael Sjödin, Professor,Research Leader

Email: mikael.sjodin@mdh.se
Room: U3-072
Phone: +46 70 288 2829