Towards an Autonomous, Power-Efficient Base Station for Sensor Data Collection. - Pierre-Louis Sixdenier (ACSOS-C, 2021)

SIDAM: A Design Space Exploration Framework for Multi-sensor Embedded Systems Powered by Energy Harvesting. - Pierre-Louis Sixdenier; Stefan Wildermann; Daniel Ziegler 005; Jürgen Teich (SAMOS, 2022)

Seque: Lean and Energy-aware Data Management for IoT Gateways. - Pierre-Louis Sixdenier; Stefan Wildermann; Martin Ottens; Jürgen Teich (EDGE, 2023)

RAVEN: Reinforcement Learning for Generating Verifiable Run-Time Requirement Enforcers for MPSoCs. - Khalil Esper; Jan Spieck; Pierre-Louis Sixdenier; Stefan Wildermann; Jürgen Teich (NG-RES@HiPEAC, 2023)

Hybrid Genetic Reinforcement Learning for Generating Run-Time Requirement Enforcers. - Jan Spieck; Pierre-Louis Sixdenier; Khalil Esper; Stefan Wildermann; Jürgen Teich (MEMOCODE, 2023)

GRES: Guaranteed Remaining Energy Scheduling of Energy-harvesting Sensors by Quality Adaptation. - Pierre-Louis Sixdenier; Stefan Wildermann; Jürgen Teich (MECO, 2024)