Yi‐Qing Ni

Papers

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About

Dr. Yi-Qing Ni is a leading figure in structural health monitoring and intelligent infrastructure assessment, with a particular focus on the fatigue and fracture mechanics of orthotropic steel bridge decks (OSDs). His research bridges the gap between advanced robotics, deep learning, and digital twin technology to solve critical safety challenges in civil engineering. Dr. Ni’s most impactful contributions include pioneering a digital twin-based framework for fatigue life assessment of OSDs, which integrates inspection robots and deep learning to predict structural degradation with unprecedented accuracy. His work on automatic phased array ultrasonic testing (PAUT) crack detection further demonstrates his commitment to automating non-destructive evaluation, enabling precise depth identification of fatigue cracks in complex steel structures. With his top-cited paper from 2025 already garnering 19 citations, Dr. Ni’s innovations are rapidly shaping the future of smart infrastructure maintenance. By combining real-time robotic inspection with data-driven models, he is not only advancing academic knowledge but also providing practical, life-saving solutions for aging bridges worldwide. His research stands as a benchmark for integrating AI and robotics into civil engineering safety protocols.