Complex Real-Time Embedded Systems

Focus:

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. 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.


Division:

Division of Networked and Embedded 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
Project TitleStatus
PROVIDENT: Predictable Software Development in Connected Vehicles Utilising Blended TSN-5G Networks active
ARRAY ++, Automation Region Research Academy active
ARRAY - Automation Region Research Academy active
Cloud and the Industrial Internet of Things Initiative active
Collaborative Cloud Robotics active
FIESTA - Federated Choreography of an Integrated Embedded Systems Software Architecture active
FLEXATION - Flexible and Secure Modular Automation active
MARC: Mälardalen University Automation Research Center active
MRTV - Mälardalen Real-Time Virtualizer active
PSI: Pervasive Self-Optimizing Computing Infrastructures active
ROBOREC: Semi-automated Dismantling System for Battery Metal Recovery and Recycling active
SUNRISE - Strategic Universities Network for Regional Innovative and Sustainable Evolution active
TRIM: TRustworthy Interaction of Multi-agent systems active
ACICS - Assured Cloud Platforms for Industrial Cyber-physical Systems finished
ARROWS - Design Techniques for Adaptive Embedded Systems finished
AUTOSAR for Multi-Core in Automotive and Automation Industries finished
DESTINE: Developing Predictable Vehicle Software Utilizing Time Sensitive Networking finished
DPAC - Dependable Platforms for Autonomous systems and Control finished
FuturAS: Future Generation Automation Systems finished
Future factories in the Cloud finished
HERO: Heterogeneous systems - software-hardware integration finished
HISCORE - Hierarchical Scheduling of Complex Real-Time Embedded Systems finished
PARIS - Practical Probabilistic Timing Analysis of Real-Time Systems finished
PPMsched - Performance Preserving Multicore Scheduling finished
PREMISE - Predictable Multicore Systems finished
PRESS - Predictable Embedded Software Systems finished
PreView: Developing Predictable Vehicle Software on Multi-core finished
RetNet - The European Industrial Doctorate Programme on Future Real-Time Networks finished
RV-REDS - Resource Virtualization for Real-Time Embedded Distributed Systems finished
SACSys - Safe and Secure Adaptive Collaborative Systems finished
SeCRA - Security Case Run-Time Adaptation finished
SMARTCore: Model-driven support for deployment optimization of embedded systems on multicore finished
Sprint 10 Project: SLA-IoT--Ensuring Quality of Service through Modeling of Service-level Agreements in Industrial IoT finished
Sprint 11 Project: SLA-IoT--Ensuring Quality of Service through Modeling of Service-level Agreements in Industrial IoT finished
Sprint 12 Project: SLA-IoT--Ensuring Quality of Service through Modeling of Service-level Agreements in Industrial IoT finished
Sprint 13 Project: SLA-IoT - Ensuring Quality of Service through Modeling of Service-level Agreements in Industrial IoT finished
START - Stochastic Real-Time Analysis of Embedded Software Systems finished
SYNOPSIS - Safety Analysis for Predictable Software Intensive Systems finished

[Show all publications]

Conditions for Mean and First-Moment Stability of Positive Markov Jump Linear Systems with Time-Varying Subsystems (Dec 2025)
Vittorio De Iuliis , Mojtaba Kaheni, Alessandro Papadopoulos, Costanzo Manes
64th IEEE Conference on Decision and Control (CDC) (CDC 2025)

A Modified Adaptive Data-Enabled Policy Optimization Control to Resolve State Perturbations (Dec 2025)
Mojtaba Kaheni, Niklas Persson, Vittorio De Iuliis , Costanzo Manes , Alessandro Papadopoulos
64th IEEE Conference on Decision and Control (CDC) (CDC 2025)

Driving Closer to the Limit: Improved Virtual Racecar Drivers with Data-Driven Control (Nov 2025)
Ruslan Shaiakhmetov , Danilo Pianini , Valter Venusti , Gabriele D'Angelo , Alessandro Papadopoulos
24th Asia Simulation Conference (AsiaSim) (AsiaSim 2025)

A Field-based Approach for Runtime Replanning in Swarm Robotics Missions (Sep 2025)
Gianluca Aguzzi , Martina Baiardi , Angela Cortecchia , Branko Miloradovic, Alessandro Papadopoulos, Danilo Pianini , Mirko Viroli
6th IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) (ACSOS 2025)

A Methodology to Map Industrial Automation Traffic to TSN Traffic Classes (Sep 2025)
Kasra Ekrad, Inés Álvarez , Bjarne Johansson, Saad Mubeen, Mohammad Ashjaei
30th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2025)

A Study of On-Device Deep Reinforcement Learning for Task Offloading under Dynamic 5G Channel Conditions (Sep 2025)
Gorka Nieto , Idoia de la Iglesia , Unai LOPEZ , Cristina Perfecto , Mohammad Ashjaei, Ali Balador
International Conference on Evaluation and Assessment in Software Engineering (ETFA'25)


Alessandro Papadopoulos, Professor

Room: U1-131
Phone: +46 (0)21-1073 23


Thomas Nolte, Professor

Room: U3-068
Phone: +46-21-103178