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.
We conduct research in the following areas
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)
Optimal reference tracking with arbitrary sampling (Jul 2025) Jacob Higgins , Alessandro Papadopoulos, Enrico Bini , Nicola Bezzo Automatica 2025 (Automatica)
Control Period Adaptation for Resource-Constrained MPC Applications (Jun 2025) Marcello Domenighini, Paolo Pazzaglia , Christoph Mark , Kevin Schmidt , Laura Beermann , Alessandro Papadopoulos 23rd European Control Conference (ECC) (ECC2025)
FedSecure: A Privacy-Preserving Federated Learning Algorithm (Jun 2025) Mojtaba Kaheni, Martina Lippi , Andrea Gasparri , Alessandro Papadopoulos 23rd European Control Conference (ECC) (ECC2025)