Darijo Raca

Darijo Raca is a researcher in the Department of Telecommunications, focusing on advanced telecommunications systems, machine learning applications in network optimization, and adaptive video streaming technologies. He actively contributes to academic activities such as organizing workshops on optical fiber systems and fostering collaborations with institutions like TU Dublin.

Research Interests: His work emphasizes telecommunications infrastructure, machine learning for network prediction, 5G and 4G LTE optimization, and quality of experience (QoE) in adaptive streaming. He has developed frameworks like JuliaGrid and DashReStreamer, and contributed to datasets like the 360 video DASH dataset.

Key Contributions: Over 20 journal articles and conference papers highlight his expertise in throughput prediction, distributed state estimation, and video streaming algorithms. Notable trends include integrating AI/ML into 5G networks and improving real-world network performance through empirical testing.

Labs/Teams: He is part of the initiative to establish a quantum cryptography laboratory within the Department of Telecommunications, pushing boundaries in secure communication systems.