Aisha Ahmed Alarfaj
Papers
2
Total Citations
43
H-Index
2
About
Aisha Ahmed Alarfaj is a leading researcher in computer vision, specializing in Human Activity Recognition (HAR) and human interaction analysis for intelligent surveillance systems. Her work bridges the gap between autonomous drone technology and machine learning, developing frameworks that enable machines to interpret complex human behaviors from aerial perspectives. In her highly cited 2025 study, "Drone-Based Public Surveillance Using 3D Point Clouds and Neuro-Fuzzy Classifier," she pioneered a method for recognizing actions in drone-captured video, achieving 23 citations by addressing critical challenges in video surveillance, sports analysis, and human-robot interaction. Alarfaj further advanced the field with her 2023 paper, "A Novel Human Interaction Framework Using Quadratic Discriminant Analysis with HMM," which garnered 20 citations for its innovative approach to recognizing human-human interactions using statistical models. This work has significant implications for social robotics and public safety. With a growing citation count and a focus on real-world applications, Alarfaj’s contributions are shaping the next generation of autonomous, context-aware surveillance systems, making her a rising authority in applied artificial intelligence.
Research Focus
Key Achievements
Top Papers
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