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.
Project TitleStatus
A Digital Twin Framework for Dynamic and Robust Distributed Systems active
Hipereal - High-performance real-time computing active
Performant and Flexible digital Systems through Verifiable AI active
RELIANT Industrial graduate school: Reliable, Safe and Secure Intelligent Autonomous Systems active
Serendipity - Secure and dependable platforms for autonomy active
SUNRISE - Strategic Universities Network for Regional Innovative and Sustainable Evolution active
BUMBLE - Blended Modelling for Enhanced Software and Systems Engineering finished
CARTCOM - Monitoring and Probabilistic Analysis of Component-Based Embedded Control Systems finished
CHESS finished
DeepMaker: Deep Learning Accelerator on Commercial Programmable Devices finished
DESTINE: Developing Predictable Vehicle Software Utilizing Time Sensitive Networking finished
DPAC - Dependable Platforms for Autonomous systems and Control finished
EEMDEF finished
FAST-ARTS: Fast and Sustainable Analysis Techniques for Advanced Real-Time Systems finished
Femmva - Functional- and execution-models in modern electronic vehicle architectures finished
HEAVE finished
HERO: Heterogeneous systems - software-hardware integration finished
ITS-EASY Post Graduate School for Embedded Software and Systems finished
MOMENTUM: analysis of models towards compilation to predictable embedded real-time and safety-critical applications finished
MultEx finished
Multi-Aspectual Data Management of Embedded Real-Time Systems finished
PPMsched - Performance Preserving Multicore Scheduling finished
RALF3 - Software for Embedded High Performance Architectures finished
Real-time Heterogeneous Systems finished
SMARTCore: Model-driven support for deployment optimization of embedded systems on multicore finished
Strategic Knowledge Enhancement: International Visiting Professor, Alfonso Pierantonio finished
SynthSoft - Synthesizing Predictable Software for Distributed Embedded Systems finished
Timing Predictions of Complex Embedded Systems finished

[Show all publications]

Black-box protocol testing using Rebeca and Automata Learning (Mar 2025)
Stefan Marksteiner, Mikael Sjödin
Marjan Festschrift (part of FSEN 2025) (MarjanFest)

DAT (Dec 2024)
Ali Asghar Sharifi, Ali Zoljodi , Masoud Daneshtalab
Sensors (MDPI Sensors)

TrajectoryNAS (Sep 2024)
Ali Asghar Sharifi, Ali Zoljodi , Masoud Daneshtalab
Sensors (SENSC9)

Contrastive Learning for Lane Detection via cross-similarity (Sep 2024)
Ali Zoljodi , Sadegh Abadijou , Mina Alibeigi , Masoud Daneshtalab
Pattern Recognition (PR)

From low-level programming to full-fledged industrial model-based development: the story of the Rubus Component Model (May 2023)
Alessio Bucaioni, Federico Ciccozzi, Amleto Di Salle , Mikael Sjödin
Software and Systems Modeling (SoSym)

Gamifying model-based engineering: the PapyGame experience (Mar 2023)
Antonio Bucchiarone , Maxime Savary-Leblanc , Xavier Le Pallec , Antonio Cicchetti, Sebastien Gerard , Simone Bassanelli , Federica Gini , Annapaola Marconi
Software and Systems Modeling (SoSym)

Mikael Sjödin, Professor,Research Leader

Email: mikael.sjodin@mdh.se
Room: U1-195
Phone: +46 70 288 2829