The mission of the Networked and Embedded System Division (NES) is to provide engineers with scientific methods and tools for designing safety-critical real-time systems. The goal is to advance state-of-art and practice for developing such systems into a mature engineering discipline, i.e., in analogue with the scientifically well founded methods and tools for mechanical construction. NES develops methods for constructing safetycritical real-time systems, ultimately capable of guaranteeing their multitude of requirements to be fulfilled.
Our division is very research and education intensive. The research has an internationally proved record of excellence in conducting high-quality research and a very productive graduate training program. All research is performed in projects with specific goals with respect to achievements, publications, collaborations, and prototype tools. A project typically has elements of both basic and applied research Equally important is the undergraduate education, where EAi s responsible for computer engineering related courses, with a particular focus on computer based real-time systems. We are responsible for the international Master Program in Intelligent Embedded Systems and Bachelor Program in Computer Network Engineering .
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)
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)
CONAN-TSN: An Integrated Toolchain for CONfiguration and ANalysis of TSN Networks (Sep 2025) Daniel Bujosa Mateu, Mohammad Ashjaei, Saad Mubeen 30th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2025)
Scheduling 5G Radio Resources for the Transmission of Real-time TSN Flows (Sep 2025) Zenepe Satka, Federico Aromolo , Mohammad Ashjaei, Alessandro Biondi , Daniel Casini , Hossein Fotouhi, Niccolo Borgioli , Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen
A Formal Definition of the Multi-Robot Multi-Task Time-extended Assignment Problem Configuration (Aug 2025) Branko Miloradovic, Alessandro Papadopoulos IEEE 21st International Conference on Automation Science and Engineering (CASE 2025)
PyLC+: A Scalable Python Framework for Automated Translation and Testing of Industrial PLC Programs (Jul 2025) Mikael Ebrahimi Salari, Eduard Paul Enoiu, Alessio Bucaioni, Wasif Afzal, Cristina Seceleanu 49th IEEE International Conference on Computers, Software, and Applications ( COMPSAC-2025)