Title: Adaptive Streaming over Emerging Network Architectures.

ATHENA (Adaptive Streaming over Emerging Network Architectures) is a Christian Doppler Laboratory project that focuses on optimizing end-to-end video streaming over modern, heterogeneous network environments. It bridges the gap between user Quality of Experience (QoE) and emerging networking paradigms, such as HTTP/3, QUIC, and edge-based delivery. In ATHENA, I work on developing intelligent, network-aware streaming systems that adapt in real-time to varying network and device conditions. Our research includes energy-efficient streaming, low-latency adaptive bitrate algorithms, and reinforcement learning-based QoE optimization.

Title: Developing an Integrated Online IKKCO Product Tracking for Streamlined Supply Chain Operations (Fiama).

Faima focused on the design and development of a low-cost, Android-compatible IoT dongle for real-time vehicle monitoring and remote control. The dongle connects to the vehicle's onboard diagnostics (OBD-II) port and communicates wirelessly with a dedicated mobile application. Through this system, users can track key vehicle parameters (e.g., engine status, fuel level, speed, and GPS location), receive fault alerts, and perform basic remote actions such as door locking or engine shutdown. The project involved embedded system design, Bluetooth communication protocols, mobile app development, and cloud-based data integration. It aimed to enhance driver safety, reduce maintenance costs, and provide a foundation for smart mobility applications.

Title: Optimizing Fairness and Quality of Experience (QoE) in Adaptive HTTP Streaming Using Scalable Video Coding.

This research focused on optimizing user-perceived Quality of Experience (QoE) in HTTP adaptive streaming systems by integrating scalable video coding (SVC) techniques. The project proposed a fairness-aware bitrate adaptation strategy to improve video quality consistency across competing users.

Title: Designing an Energy-aware Convex Model for Multi-hop Data Gathering in Wireless Sensor Network using Mobile Sinks.

This project designed a convex optimization model for energy-efficient data collection in wireless sensor networks. By using mobile sinks and multi-hop routing, the system balanced energy consumption across nodes to extend the network lifetime.

Title: A Novel Data Dissemination Algorithm for Mobile Sinks in Wireless Sensor Networks.

This research introduced a novel data dissemination protocol tailored for mobile sink-based wireless sensor networks. The algorithm optimized routing efficiency and minimized latency while maintaining balanced energy usage across sensor nodes.