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About

Dr. Yening Shu is a leading researcher in structural health monitoring (SHM) and smart sensing technologies, with a focus on developing next-generation measurement systems for civil and aerospace infrastructure. Her most cited work, the highly influential "Roadmap on measurement technologies for next generation structural health monitoring systems" (2023, 73 citations), provides a comprehensive vision for automating condition assessment in large-scale engineered systems, addressing critical design challenges in sensor networks. Dr. Shu has also pioneered innovative approaches to pressure mapping, as demonstrated in her work "Pressure Mapping Using Nanocomposite-Enhanced Foam and Machine Learning" (2022, 11 citations), where she combines low-cost, compliant nanocomposite materials with advanced computational algorithms to create distributed pressure sensors for healthcare and robotics applications. Her research uniquely bridges materials science, sensor design, and machine learning, enabling practical, scalable solutions for real-world monitoring challenges. With a growing citation record and contributions to both foundational roadmaps and applied sensing systems, Dr. Shu is establishing herself as a key voice in the future of intelligent infrastructure and smart materials.