Sushovan Chaudhury
Papers
1
Total Citations
28
H-Index
1
About
Dr. Sushovan Chaudhury is an emerging researcher at the intersection of computer vision, marine ecology, and conservation technology. His most cited work, "Faster R-CNN Algorithm for Detection of Plastic Garbage in the Ocean: A Case for Turtle Preservation" (2022, 28 citations), exemplifies his commitment to applying deep learning to pressing environmental challenges. In this pioneering study, Chaudhury leverages the Faster R-CNN object detection framework to identify plastic debris in oceanic environments—specifically targeting waste that mimics the appearance of jellyfish, a primary food source for sea turtles. By training the algorithm on visual data of floating plastics, his model achieves high accuracy in distinguishing harmful litter from natural prey, offering a scalable, automated tool for monitoring and mitigating marine pollution. This work directly addresses the critical threat of plastic ingestion to endangered turtle populations, bridging AI innovation with actionable conservation strategies. Chaudhury’s research stands out for its practical impact, demonstrating how advanced computer vision can be deployed for ecological monitoring and species preservation. As a rising voice in applied AI, his contributions highlight the potential of technology to safeguard vulnerable marine ecosystems, earning recognition among conservation technologists and computer scientists alike.
Research Focus
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Top Papers
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