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.
An Evaluation Framework for Modeling Languages Supporting Predictable Vehicular Software Systems (Apr 2022) Enxhi Ferko, Igli Jasharllari , Alessio Bucaioni, Mohammad Ashjaei, Saad Mubeen 19th International Conference on Information Technology : New Generations (ITNG2022)
A Conceptual Framework for Software Modeling ofAutomation Systems (Apr 2022) Mohammad Ashjaei, Alessio Bucaioni, Saad Mubeen 19th International Conference on Information Technology : New Generations (ITNG2022)
Space Computing using COTS Heterogeneous Platforms (Nov 2021) Nandinbaatar Tsog
FastStereoNet: A Fast Neural Architecture Search for Improving the Inference of Disparity Estimation on Resource-Limited Platforms (Nov 2021) Mohammad Loni, Ali Zoljodi, Amin Majd , Byung Hoon Ahn , Masoud Daneshtalab, Mikael Sjödin, Hadi Esmaeilzadeh IEEE Transactions on Systems, Man, and Cybernetics: Systems (SMCS)
Automatic Quality of Service Control in Multi-core Systems using Cache Partitioning (Oct 2021) Jakob Danielsson, Tiberiu Seceleanu, Marcus Jägemar, Moris Behnam, Mikael Sjödin 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)
Automatic Platform-Independent Monitoring and Ranking of Hardware Resource Utilization (Sep 2021) Shamoona Imtiaz, Jakob Danielsson, Moris Behnam, Gabriele Capannini, Jan Carlson, Marcus Jägemar 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)