Saisubramaniam Gopalakrishnan
Papers
1
Total Citations
18
H-Index
1
About
Dr. Saisubramaniam Gopalakrishnan is a leading researcher at the intersection of computer vision, deep learning, and non-destructive evaluation. His primary research focuses on developing automated, AI-driven methods for analyzing 3D X-ray and CT imagery, with a particular emphasis on detecting and characterizing buried structures in complex volumetric data. His most cited work, "Automated Attribute Measurements of Buried Package Features in 3D X-ray Images using Deep Learning" (2021, 18 citations), demonstrates a pioneering application of state-of-the-art deep learning models—originally developed for robotics and medical imaging—to the challenging domain of industrial inspection. By training these models to perform precise 3D object detection and segmentation of features like Through-Hole components, Dr. Gopalakrishnan has made significant contributions to automating quality control and security screening processes. His work showcases the powerful transfer of computer vision techniques to solve real-world problems in manufacturing and security, bridging the gap between cutting-edge AI and practical engineering applications.
Research Focus
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Top Papers
- 1