Papers
2
Total Citations
49
H-Index
2
About
Bo Guo is a researcher at the forefront of intelligent manufacturing and structural health monitoring, with a primary focus on welding process sensing and underwater infrastructure inspection. His early groundbreaking work developed a wide dynamic range vision sensor for real-time weld deviation detection in MAG welding, a contribution that has garnered 42 citations and significantly advanced automated welding quality control. More recently, Guo has pioneered the fusion of discrete wavelet transforms with deep learning, introducing the Crackwave R-convolutional neural network for underwater dam crack detection. This innovative approach, published in 2025, addresses a critical challenge in preventing structural failures and ensuring long-term dam stability. By integrating signal processing with convolutional neural networks, his work enables more accurate and robust detection of cracks in challenging underwater environments. Guo’s research bridges traditional sensing techniques with modern AI, demonstrating a clear trajectory from manufacturing process optimization to critical infrastructure safety. His contributions are essential reading for researchers in non-destructive evaluation, computer vision, and structural health monitoring.
Research Focus
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Top Papers
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