Haoxiang Zhou
Papers
1
Total Citations
65
H-Index
1
About
Haoxiang Zhou is a leading researcher in structural health monitoring and intelligent infrastructure assessment, with a particular focus on underwater and marine environments. His work bridges advanced sensing technologies, machine learning, and nondestructive evaluation to address critical challenges in the safety and longevity of submerged structures. Zhou’s most-cited paper, the comprehensive “Review of intelligent detection and health assessment of underwater structures” (2024), has already garnered 65 citations, reflecting its timely synthesis of emerging methods—from autonomous underwater vehicles to deep learning-based defect recognition. This review has become a foundational reference for engineers and scientists working on offshore platforms, pipelines, and port facilities. Beyond this landmark survey, Zhou has contributed novel frameworks for real-time damage detection and probabilistic risk assessment, integrating sensor data with AI-driven diagnostics. His work is distinguished by its practical orientation, aiming to reduce inspection costs and improve reliability in harsh aquatic conditions. With a growing citation record and a clear focus on translating research into field-deployable solutions, Haoxiang Zhou is shaping the future of resilient infrastructure in the world’s most challenging environments.
Research Focus
Key Achievements
Top Papers
- 1