Research area

Predictable, resilient, and resource-aware cyber-physical and real-time systems

My research aims to make cyber-physical and real-time systems predictable, resilient, and resource-efficient. I develop control- and data-driven methods that connect timing analysis, scheduling, network synchronization, and resource adaptation with closed-loop performance. Current work also addresses probabilistic timing guarantees, time-sensitive communication, industrial controller redundancy, and defenses against integrity attacks.

Selected publications

  • Domenighini, M., Pazzaglia, P., Christoph, M., Schmidt, K., Beermann, L., & Papadopoulos, A. V. (2026, May). Resource-Aware Rate-Adaptive Control with Discrete-Time Control Barrier Functions and Real-Time Guarantees. 2026 American Control Conference (ACC).
  • Domenighini, M., Kaheni, M., Pazzaglia, P., Crhistoph, M., Schmidt, K., & Papadopoulos, A. V. (2026). Predictive Allocation of Computational Resources for Model Predictive Controllers. 10th IEEE Conference on Control Technology and Applications (CCTA), 276–282. https://doi.org/10.1109/CCTA62090.2026.11684228
  • Johansson, B., Leander, B., Holmgren, O., Nolte, T., & Papadopoulos, A. V. (2026). Checkpointing and State Transfer for Industrial Controller Redundancy. Journal of Systems Architecture, 178, 103872. https://doi.org/10.1016/j.sysarc.2026.103872
  • Friebe, A., Marchetti-Spaccamela, A., Cucinotta, T., Papadopoulos, A. V., Nolte, T., & Baruah, S. (2025). Resource Management For Stochastic Parallel Synchronous Tasks: Bandits To The Rescue. Real-Time Systems. https://doi.org/10.1007/s11241-025-09454-8
  • Bujosa Mateu, D., Proenza, J., Papadopoulos, A. V., Nolte, T., & Ashjaei, M. (2024). An Improved Worst-Case Response Time Analysis for AVB Traffic in Time-Sensitive Networks. 45th IEEE Real-Time Systems Symposium (RTSS), 135–147. https://doi.org/10.1109/RTSS62706.2024.00021
  • Marković, F., Roux, P., Bozhko, S., Papadopoulos, A. V., & Brandenburg, B. B. (2023). CTA: A Correlation-Tolerant Analysis of the Deadline-Failure Probability of Dependent Tasks. 44th IEEE Real-Time Systems Symposium (RTSS), 317–330. https://doi.org/10.1109/RTSS59052.2023.00035
  • Marković, F., Papadopoulos, A. V., & Nolte, T. (2021). On the Convolution Efficiency for Probabilistic Analysis of Real-Time Systems. In B. B. Brandenburg (Ed.), 33rd Euromicro Conference on Real-Time Systems (ECRTS) (Vol. 196, pp. 16:1–16:22). Schloss Dagstuhl – Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.ECRTS.2021.16

Main collaborators