Samia Allaoua Chelloug

About

Dr. Samia Allaoua Chelloug is a leading researcher at the intersection of computer vision, artificial intelligence, and next-generation communication networks. Her work primarily focuses on advancing scene understanding through deep learning, with a key contribution being the development of CNN-based multi-object segmentation and feature fusion techniques for robust scene recognition. This foundational work, published in 2022 and garnering 21 citations, directly supports critical applications in augmented reality, robotic navigation, and autonomous driving. Dr. Chelloug is also pioneering the integration of AI with 6G infrastructure. Her recent, forward-looking research introduces a novel feature-oriented Quality of Anything (QoX) framework designed to ensure end-to-end service quality for robotic systems operating over 6G networks. This conceptual architecture, presented in 2025, addresses the stringent demands of future autonomous services. By bridging the gap between high-level visual perception and low-level network performance, Dr. Chelloug’s work is instrumental in shaping the reliable, intelligent systems of tomorrow.

Research Focus

Key Achievements

Top Papers

1. 1
   CNN Based Multi-Object Segmentation and Feature Fusion for Scene Recognition

   21 citations · 2022
2. 2
   A novel feature-oriented quality of anything (QoX) framework for end-to-end robotic services in 6G networks

   2 citations · 2025

Key Collaborators

Contact & Links