Component-based computation-energy modeling for embedded systems. - Adam Seewald; Ulrik Pagh Schultz; Julius Roeder; Benjamin Rouxel; Clemens Grelck (SPLASH (Companion Volume), 2019)

Q-learning for Statically Scheduling DAGs. - Julius Roeder; Benjamin Rouxel; Clemens Grelck (IEEE BigData, 2020)

Towards Energy-, Time- and Security-Aware Multi-core Coordination. - Julius Roeder; Benjamin Rouxel; Sebastian Altmeyer; Clemens Grelck (COORDINATION, 2020)

Power Passports for Fault Tolerance: Anomaly Detection in Industrial CPS Using Electrical EFB. - Uraz Odyurt; Julius Roeder; Andy D. Pimentel; Ignacio Gonzalez Alonso; Cees de Laat (ICPS, 2021)

Scheduling DAGs of Multi-Version Multi-Phase Tasks on Heterogeneous Real-Time Systems. - Julius Roeder; Benjamin Rouxel; Clemens Grelck (MCSoC, 2021)

Energy-aware scheduling of multi-version tasks on heterogeneous real-time systems. - Julius Roeder; Benjamin Rouxel; Sebastian Altmeyer; Clemens Grelck (SAC, 2021)

Can we trust our energy measurements? A study on the Odroid-XU4. - Julius Roeder; Sebastian Altmeyer; Clemens Grelck (CoRR, 2022)

GCN-based Reinforcement Learning Approach for Scheduling DAG Applications. - Julius Roeder; Andy D. Pimentel; Clemens Grelck (AIAI (2), 2023)