Xiaer Xiahou
Papers
2
Total Citations
11
H-Index
2
About
Xiaer Xiahou is a rising scholar at the forefront of intelligent construction, where human safety meets cutting-edge digital innovation. Her research centers on two critical, interconnected domains: neurophysiological monitoring for worker safety and the integration of digital technologies in human–robot collaboration (HRC) within construction environments. In her highly cited 2024 work, "Vigilance recognition for construction workers using EEG and transfer learning" (9 citations), Xiahou pioneered a non-invasive method to detect lapses in worker attention—a leading cause of on-site accidents—by applying transfer learning to electroencephalography data. This contribution offers a scalable, real-time safety solution for high-risk construction settings. Expanding her impact, her 2025 systematic review, "Digital Technology Integration in Risk Management of Human–Robot Collaboration Within Intelligent Construction" (2 citations), maps how AI, Digital Twins, and IoT can mitigate emerging risks as robots and humans work side by side. By synthesizing these technologies, Xiahou provides a roadmap for safer, more productive construction sites. Her work bridges cognitive neuroscience and construction engineering, earning recognition for its practical relevance and forward-looking vision. As intelligent construction evolves, Xiahou’s research is poised to shape industry standards for both human-centered safety and collaborative automation.
Research Focus
Key Achievements
Top Papers
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