Hossameldien earned his Master’s in Computer Science from the Technical University of Munich, specializing in computer vision and AI-driven enhancements to traditional algorithms. With expertise in algorithmic and machine learning approaches, he is dedicated to unlocking the full potential of rich light-field data, including the fusion of multiple light-field streams, and thus works at the intersection of WP2’s tasks.
