Saki Murao

Papers

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About

Saki Murao is a leading researcher in the intersection of civil infrastructure monitoring and artificial intelligence, with a primary focus on automated defect detection. Her most influential work, "Concrete Crack Detection Using UAV and Deep Learning" (2019), has garnered 15 citations and addresses a critical societal challenge: the aging of global infrastructure and the shortage of experienced inspection engineers. Murao pioneered the use of unmanned aerial vehicles (UAVs) combined with deep learning algorithms to autonomously identify concrete cracks, significantly improving the speed, safety, and accuracy of structural health assessments. This contribution not only reduces reliance on manual inspections but also enables proactive maintenance of bridges, tunnels, and buildings. Her research has been recognized for its practical impact, bridging the gap between computer vision and civil engineering. Murao’s work is particularly notable for its potential to revolutionize infrastructure management in Japan and worldwide, where aging facilities demand scalable, data-driven solutions. She continues to advance the field by integrating real-time image processing and robust neural network architectures for field-deployable inspection systems.