K. Sakthidasan Sankaran
Papers
2
Total Citations
43
H-Index
2
About
K. Sakthidasan Sankaran is a leading researcher at the intersection of deep learning, computer vision, and environmental conservation. His work primarily focuses on applying advanced artificial intelligence to solve pressing real-world problems, from marine ecology to industrial automation. His most impactful contribution is the development of a Faster R-CNN algorithm specifically designed for detecting plastic garbage in the ocean, a critical tool for turtle preservation. This work, which has garnered 28 citations, addresses the urgent threat of marine animals ingesting plastic waste that resembles jellyfish. In parallel, Sankaran has advanced industrial robotics by optimizing sorting robot control systems through deep learning and machine vision, achieving 15 citations for his work on enhancing coal gangue dry separation. His research on dynamic domain fuzzy self-tuning PID controllers has provided novel solutions for determining ideal grasping positions in automated systems. By bridging the gap between sophisticated AI models and tangible environmental and industrial challenges, Sankaran demonstrates how cutting-edge technology can drive meaningful change in both ecological preservation and manufacturing efficiency.
Research Focus
Key Achievements
Top Papers
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