Bayan Alabdullah
Papers
3
Total Citations
68
H-Index
3
About
Bayan Alabdullah is a researcher at the forefront of artificial intelligence, computer vision, and human-computer interaction, with a growing impact on both assistive technology and smart agriculture. Her work is defined by the innovative application of neural networks and geometric feature extraction to solve real-world recognition problems. In her highly cited 2024 paper, "Unmanned Aerial Vehicles for Human Detection and Recognition Using Neural-Network Model" (31 citations), she pioneered a method for enabling machines to understand human behavior from aerial footage, a breakthrough with profound implications for surveillance, human-robot collaboration, and sports analytics. Alabdullah also made significant contributions to accessibility through her 2023 work on "Hand Gesture Recognition for Characters Understanding Using Convex Hull Landmarks and Geometric Features" (20 citations), which developed a novel system to translate sign language into text, bridging a critical communication gap for the deaf community. Demonstrating the breadth of her expertise, her 2024 paper on "Abnormal Crops Image Data Acquisition Strategy by Exploiting Edge Intelligence and Dynamic-Static Synergy in Smart Agriculture" (17 citations) introduced a cutting-edge strategy for collecting high-quality agricultural data, directly addressing the challenge of low-value data in crop disease control. With a combined citation count exceeding 68, Alabdullah is establishing herself as a versatile and impactful innovator.
Research Focus
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Top Papers
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