Amjad Khan
Papers
2
Total Citations
92
H-Index
2
About
Amjad Khan’s research lies at the intersection of underwater robotics, computer vision, and offshore infrastructure integrity, with a focus on subsea pipeline corrosion detection and autonomous inspection. His major contributions include pioneering methods for restoring and enhancing degraded underwater images to enable accurate corrosion estimation—work that directly addresses the severe risks of pipeline cracks and leakages in the oil and gas industry. One of his most cited papers (52 citations) introduces a novel image restoration framework that significantly improves visual clarity in turbid underwater environments, while another highly influential study (40 citations) develops a visual feedback–based heading control system for autonomous underwater vehicles (AUVs), reducing the computational burden of real-time inspection. By replacing reliance on human divers with intelligent, vision-guided AUVs, Khan’s work advances both safety and efficiency in deepwater monitoring. His research is widely recognized for bridging practical engineering challenges with cutting-edge image processing and control theory, making him a key figure in the evolution of autonomous subsea inspection technologies.
Research Focus
Key Achievements
Top Papers
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