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.


Divisions:

Division of Intelligent Future Technologies
Division of Networked and 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.
  • 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
Advancing personalized prevention strategies for chronic obstructive pulmonary disease and associated comorbidities that utilize existing IT technologies and novel AI based tools active
CoDig - Continuous Digitalization active
Hipereal - High-performance real-time computing active
MARC: Mälardalen University Automation Research Center active
RELIANT Industrial graduate school: Reliable, Safe and Secure Intelligent Autonomous Systems active
Reshaping data-driven smart healthcare to optimize resources and personalize care for hypertensive patients through AI and digital twin models active
Software Center 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
Performant and Flexible digital Systems through Verifiable AI finished
PPMsched - Performance Preserving Multicore Scheduling finished
RALF3 - Software for Embedded High Performance Architectures finished
Real-time Heterogeneous Systems finished
Serendipity - Secure and dependable platforms for autonomy 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]

Scheduling and Response-time Analysis of Multicore and Multi-GPU Heterogeneous Systems with Server-Based Approach (Aug 2026)
Sahar Mobaiyen, Saad Mubeen, Mikael Sjödin, Nandinbaatar Tsog, Matthias Becker
Journal of Control Science and Engineering (JCSE)

Modeling and Evaluating an Intelligent Health Monitoring System for Detecting Atrial Fibrillation (Mar 2026)
Petter Nordin, Hossein Fotouhi, Miguel Leon Ortiz, Oana Cramariuc , Tiberiu Seceleanu, Maryam Vahabi
International Journal of Network Dynamics and Intelligence (IJNDI)

Towards Security Architecture Modeling for Modular Automation Systems (Oct 2025)
Volodymyr Trykoz, Saad Mubeen, Mohammad Ashjaei, Björn Leander
ETFA'25 IEEE International Conference on Emerging Technologies and Factory Automation (ETFA'25)

Modeling: The Heart and Soul of Engineering Smart Ecosystems (Oct 2025)
Antonio Bucchiarone , Benoit Combemale , Alfonso Pierantonio , Nelly Bencomo , Mark van den Brand , Jean-Michel Bruel , Antonio Cicchetti, Juri Di Rocco , Leen Lambers , Judith Michael , Bernhard Rumpe , Mikael Sjödin, Gabriele Taentzer , Matthias Tichy , Hans Vangheluwe , Manuel Wimmer , Steffen Zschaler
17th System Analysis and Modelling conference (SAM2025)

RELIANT Overview 2025 (Sep 2025)
Kristina Lundqvist, Mikael Sjödin, Malin Rosqvist, Federico Ciccozzi, Cristina Seceleanu, Baran Çürüklü

A Conformal Prediction-Based Framework for CPU Load Forecasting: A Black-Box Approach (Jul 2025)
Edin Jelačić, Cristina Seceleanu, Peter Backeman, Ning Xiong, Tiberiu Seceleanu, Axel Jantsch
49th IEEE International Conference on Computers, Software, and Applications ( COMPSAC-2025)

Mikael Sjödin, Professor,Research Leader

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