Siva Prasad

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About

Siva Prasad is a researcher at the forefront of applying artificial intelligence to environmental conservation, with a particular focus on underwater pollution detection. His most impactful work, "Octacleaner: Underwater Trash Detection Through YOLO" (2023), has already garnered 5 citations, demonstrating its relevance in the emerging field of marine debris monitoring. In this study, Prasad leverages the YOLO (You Only Look Once) object detection algorithm to identify and classify submerged waste—including heavy plastics, metals, glass, and organic matter—that settles on water bodies after rainfall. His major contribution lies in adapting real-time computer vision techniques to the challenging underwater environment, where visibility and lighting conditions are poor. By enabling automated trash detection, Prasad’s work provides a scalable, cost-effective solution for environmental cleanup efforts. His research bridges the gap between deep learning and aquatic ecology, offering practical tools for waste management and pollution control. As a rising voice in AI-for-good initiatives, Siva Prasad is helping to turn the tide on underwater pollution, one detection algorithm at a time.