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 .
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)
Timing‑Aware Configuration Framework for TSN and OPC UA in Industrial Automation Systems (Jun 2026) Kasra Ekrad, Bjarne Johansson, Ines Alvarez, Saad Mubeen, Mohammad Ashjaei 29th International Symposium on Real-Time Distributed Computing (ISORC)
AI Generates, Model-Based Testing Checks: A Model-Based Approach to Validating AI-Generated Test Cases (Jun 2026) Eduard Paul Enoiu Digital Twin Experiences and Model-Based Testing Methods @ AEiC 2026 (DT-MBT 2026)
Overreliance on Test Agents in AI-Assisted Software Testing (May 2026) Eduard Paul Enoiu OverReliance on Cognitive AI Systems in Safety-Critical Domains (ORCAS 2026)
Efficient Multi-level Mine Dewatering Using UPPAAL Stratego (May 2026) Muhammad Naeem, Cristina Seceleanu, Alf J. Isaksson , Tiberiu Seceleanu The 27th International Symposium on Formal Methods (FM 2026)
Efficient AVB-aware Scheduling for Critical Traffic in Time-sensitive Networks (May 2026) Daniel Bujosa Mateu, Silviu Craciunas , Saad Mubeen 32nd IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS2026)

