P. Solainayagi

Papers

Total Citations

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About

P. Solainayagi is a forward-thinking researcher at the intersection of environmental robotics and artificial intelligence. Her primary focus lies in developing intelligent, automated systems for ecological remediation, with a particular emphasis on coastal pollution control. In her most-cited work, "Cloud-based Data Analytics for Automated Coastal Cleanup Robots with Convolutional Neural Network" (2024), she proposed a novel framework that integrates autonomous robots with advanced sensor arrays and a Convolutional Neural Network (CNN)-based analytics system. This approach enables robots to autonomously navigate and identify waste along shorelines, leveraging cloud computing for real-time data processing and decision-making. Though early in its impact trajectory with 3 citations, this work represents a significant step toward scalable, AI-driven environmental cleanup. Solainayagi’s contributions bridge the gap between deep learning and practical robotics, offering a blueprint for deploying intelligent machines in fragile ecosystems. Her research holds promise for reducing human labor in hazardous cleanup operations and enhancing the efficiency of coastal preservation efforts. As the field of AI-for-environmental-good expands, Solainayagi’s work positions her as a rising voice in sustainable automation.