Zhenggang Yang

Powerchina Huadong Engineering Corporation (China)

Papers

Total Citations

H-Index

About

Dr. Zhenggang Yang is a leading researcher in hydropower engineering and underwater optical imaging, whose work addresses critical challenges in structural safety inspection. His primary research areas include underwater image enhancement, deep learning for computer vision, and intelligent monitoring of hydraulic infrastructure. Dr. Yang’s most notable contribution is the development of a novel CNN-transformer fusion framework for underwater dam image enhancement, which effectively mitigates speckle noise, corrects blue-green color shifts, and restores low-contrast visuals—enabling high-precision analysis for robotic inspections. This work, published in 2025, has already garnered 2 citations, reflecting its immediate relevance to the field. By integrating convolutional neural networks with transformer architectures, Dr. Yang has advanced the state-of-the-art in degrading underwater environments, directly improving the reliability of autonomous underwater vehicle operations. His research bridges the gap between deep learning theory and practical engineering needs, offering robust solutions for aging dam infrastructure. Dr. Yang’s contributions are pivotal for ensuring the safety and longevity of critical hydropower assets, making his work indispensable for both researchers and practitioners in civil and environmental engineering.