Organization and Lecturing

• Lecture on Cloud Computing (Winter 23/24, 24/25, and 25/26)
• Lecture on Distributed Systems (Summer 24 and 25)
• Bachelor programming course Programmierpraktikum: Verteilte Systeme (Winter 25/26)
• Bachelor programming course Programmierpraktikum: Skalierbare Systeme (Summer 23)
• Master Project: Distributed Systems on carbon-aware computing (Winter 22/23)

Co-organization

• Supervision in the Bachelor & Master Seminar: Operating Complex IT Systems (from Winter 20/21 until today)
• Lecture on Systems Programming (Summer 24)
• Lecture on Critical Infrastructure and Digitalization (Summer 21 and 22)
• Winter Schools on Smart Sensing and Smart Cities (Winter 20/21, 21/22, and 22/23)
• Smart City Hackathon 2021 and Smart City Hackathon 2022

Supervised Master’s Thesis

1. Balancing Data Redistribution Costs and Training Efficiency in Federated Learning.
   Elias Inguanta. [in progress].
2. Predicting GPU Power Demand via Utilization Metrics for Generative AI Workloads.
   Niklas Enskat. 2026.
3. Calibrating Microgrid Simulations for Energy-Aware Computing Systems.
   Marvin Steinke. 2024.
4. Enabling Federated Learning to Interact with Energy Systems.
   Ovidiu Tătar. 2024.
5. Improving Renewable Energy Utilization in Data Centers through Probabilistic Computation Offloading.
   Gesche Gräfe. 2024.
6. Stochastic Workload Admission Control based on Probabilistic Forecasts of Compute Capacity and Renewable Excess Energy.
   Joseph Tannor. 2023.
7. Reducing the Carbon Footprint of Microservice-Based Cloud Applications by Periodically Scaling their Energy Demand.
   Kevin Kreutz. 2023.
8. Co-Simulation of Edge Computing Environments and Smart Microgrids.
   Yazan Kittaneh. 2023.
9. Renewable Energy-Aware Scheduling for Federated Learning.
   Pratik Agrawal. 2022.
10. A Probabilistic Simulator for Solar-Powered Aerial Base Stations.
    Paniz Shahlaee. 2022.
11. Forecasting Battery Charge Levels in Renewable-Powered IoT Systems.
    Kenan Skon. 2022.
12. Renewable-Aware Kubernetes Scheduling to Mitigate Carbon Emissions in Distributed Systems.
    Timo Kraus. 2022.

Supervised Bachelor’s Theses

1. Evaluation of Forecasting Models for Marginal Emission Rates in Energy Systems.
   Juliane Voß. [in progress].
2. Elastic Infrastructure Provisioning for Scheduled Jobs in On-Demand Services.
   Mikolaj Cankudis. 2025.
3. Modeling Energy Storage in Co-Simulation Testbeds for Data Centers.
   Paul Kilian. 2024.
4. Optimizing Renewable Energy Integration in Data Centers Through Co-Simulation.
   Julius Irion. 2024.
5. haDetermining Free Edge Computing Capacity Powered by Renewable Energy.
   Leo Lierse. 2022.
6. Renewable-Aware Kubernetes Scheduling for Edge Computing.
   Julian Tochman-Szewc. 2022.
7. A Hardware Testbed for Renewable-Aware Resource Management at the Edge.
   Marvin Steinke. 2022.
8. Interactive Visualization of Energy Consumption in Edge and Fog Computing Simulators.
   Yana Kernerman. 2022.
9. Predicting the State of Charge of Battery-Equipped IoT Devices via Simulation.
   Mugheera Ahmad. 2022.
10. An Evaluation of Carbon-Aware Geographical Load Shifting Techniques.
    Liam Brugger. 2021.
11. Comparison of Approaches for Reducing Carbon Emissions in Fog Computing Environments.
    Oksana Behrens. 2021.