Erick Cerqueira das Neves
Papers
1
Total Citations
12
H-Index
1
About
Erick Cerqueira das Neves is a leading researcher in non-destructive testing (NDT) and structural health monitoring, with a particular focus on underwater infrastructure. His work centers on the development and fusion of machine learning classifiers to enhance defect detection in challenging marine environments. In his most-cited paper, "Development and fusion of NDT classifiers for defect detection on underwater structures" (2024, 12 citations), Cerqueira das Neves introduces novel approaches that combine multiple NDT methods—such as ultrasonic and acoustic emission techniques—with advanced data fusion algorithms. This work significantly improves the accuracy and reliability of detecting cracks, corrosion, and other defects in submerged structures like pipelines, offshore platforms, and ship hulls. By integrating artificial intelligence with traditional NDT, he addresses critical safety and maintenance challenges in the oil and gas, maritime, and renewable energy sectors. His contributions have been recognized for their practical impact, offering cost-effective and scalable solutions for real-time monitoring. Cerqueira das Neves continues to push the boundaries of automated inspection, making him a key figure in the intersection of sensor technology, data science, and underwater engineering.
Research Focus
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Top Papers
- 1