Research Associate
Moustafa Ghaddar specializes in R&D topics in the area of sustainable video streaming and media technology.
Application Areas:
- Development and integration of streaming measurement and analytics dashboards
- Design and implementation of energy-aware streaming infrastructures and services
- Efficient data processing and visualization using Azure Data Explorer and KQL
- Integration of encoding workflow components and job orchestration with Redis and Bee-Queue
- CO₂ footprint estimation through a React-based web calculator combining scientific models and partner data
Research Areas:
- Modeling energy consumption and CO₂ emissions across the streaming supply chain
- Systematic analysis of encoding parameters (e.g., brightness, codec settings) and their impact on energy use
- Measurement-driven optimization of end-user device energy profiles, including mobile devices
- Scalable, containerized architectures for data collection, processing, and analytics
- Application of AI/ML to validate hypotheses and guide energy-efficient streaming strategies
Curriculum Vitae
After completing a Master's Thesis titled “Modeling Energy Consumption and CO2 Emissions Across the Streaming Supply Chain: A Framework for Green Streaming” in September 2025 at the Fraunhofer Institute for Open Communication Systems (FOKUS), in collaboration with the Technische Universität Berlin (TUB), he transitioned from a role as a Research Assistant to a Research Associate at Fraunhofer FOKUS.
His work primarily revolves around advancing Green Streaming through the development of a comprehensive measurement framework and Grafana-based dashboards to visualize and validate energy-related hypotheses across devices and delivery paths. He brings hands-on expertise in data pre-processing with Azure Data Explorer and Kusto Query Language (KQL), and in integrating encoding components, such as a Video Complexity Analyzer worker, into a broader architecture using JavaScript, Vue.js, Node.js, Redis, Bee-Queue, and Docker. Additionally, he has built a React-based CO₂ calculator that merges current scientific models with lab and partner data, and has extended the measurement framework to systematically generate encoding-impact datasets and capture energy metrics across additional end-user devices, including mobile phones.