Amer Barhoush
Papers
1
Total Citations
5
H-Index
1
About
Dr. Amer Barhoush is a researcher at the forefront of applying autonomous systems and computer vision to public health and educational safety. His work centers on the development of intelligent robotic platforms for real-world monitoring, particularly in pandemic response. His most cited paper, "Autonomous Robots for Deep Mask‐Wearing Detection in Educational Settings during Pandemics" (2022, 5 citations), introduces a novel deep learning framework that enables mobile robots to accurately detect mask compliance among students and staff. This contribution directly addresses the critical need for non-invasive, automated safety protocols in schools during COVID-19, helping to minimize viral transmission while preserving in-person learning. By integrating deep neural networks with autonomous navigation, Dr. Barhoush’s research demonstrates a practical pathway for deploying AI-driven solutions in sensitive social environments. His work not only advances the field of robotics but also provides scalable tools for future public health emergencies, marking him as a key innovator in the intersection of technology, education, and crisis management.
Research Focus
Key Achievements
Top Papers
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