Shuaa S. Alharbi
Papers
1
Total Citations
14
H-Index
1
About
Shuaa S. Alharbi is a rising researcher at the forefront of artificial intelligence and computer vision, with a specialized focus on dynamic graph neural networks and their application to group activity recognition. Her most-cited work, "Dynamic graph neural networks for UAV-based group activity recognition in structured team sports" (2025, 14 citations), addresses the complex challenge of understanding coordinated human actions in real-world, unstructured environments. By integrating UAV (drone) perspectives with advanced graph-based learning, Alharbi’s research overcomes critical obstacles such as occlusions, dynamic interactions, and variable viewpoints—paving the way for breakthroughs in surveillance, autonomous systems, and sports analytics. Her contributions are particularly notable for bridging the gap between theoretical graph neural network models and practical, high-impact applications in robotics and team sports analysis. Though early in her career, Alharbi’s work demonstrates significant promise, with her 2025 paper already garnering attention for its innovative approach to spatiotemporal reasoning. As a researcher dedicated to solving real-world perception problems, Shuaa S. Alharbi is establishing herself as a key voice in the next generation of AI-driven autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1