Teaching
Organization and lecturing
Co-organization
Thesis Supervision
Completed Master’s Theses
- Co-Simulation of Edge Computing Environments and Smart Microgrids. Yazan Kittaneh. 2023.
- Renewable Energy-Aware Scheduling for Federated Learning. Pratik Agrawal. 2022.
- A Probabilistic Simulator for Solar-Powered Aerial Base Stations. Paniz Shahlaee. 2022.
- Forecasting Battery Charge Levels in Renewable-Powered IoT Systems. Kenan Skon. 2022.
- Renewable-Aware Kubernetes Scheduling to Mitigate Carbon Emissions in Distributed Systems. Timo Kraus. 2022.
Completed Bachelor’s Theses
- A System Architecture for Determining Free Edge Computing Capacity Powered by Renewable Energy. Leo Lierse. 2022.
- Renewable-Aware Kubernetes Scheduling for Edge Computing. Julian Tochman-Szewc. 2022.
- A Hardware Testbed for Renewable-Aware Resource Management at the Edge. Marvin Steinke. 2022.
- Interaktive Visualisierung von Energieverbrauch in Edge- und Fog-Computing-Simulationen (Interactive Visualization of Energy Consumption in Edge and Fog Computing Simulators). Yana Kernerman. 2022.
- Predicting the State of Charge of Battery-Equipped IoT Devices via Simulation. Mugheera Ahmad. 2022.
- An Evaluation of Carbon-Aware Geographical Load Shifting Techniques. Liam Brugger. 2021.
- Vergleich von Ansätzen zur CO2-Einsparung in Fog-Computing-Umgebungen (Comparison of Approaches for Saving CO2 in Fog Computing Environments). Oksana Behrens. 2021.