Alex Gracia

My research focuses on optimizing Time-Sensitive Networking (TSN) systems through the development of novel resource management strategies based on Integer Linear Programming (ILP) modeling. This approach aims to enhance deterministic communication performance while rigorously minimizing network resource consumption. A key aspect of my work involves developing scalable emulation platforms tailored to specific TSN use cases, enabling rapid prototyping and validation of complex network configurations. Additionally, I am working on the implementation of a modular TSN testbed to experimentally evaluate quality-of-service guarantees, synchronization mechanisms, and fault tolerance under realistic industrial scenarios. This integrated approach combines theoretical optimization models with practical validation tools to address the growing demands of ultra-reliable, low-latency communication infrastructures.