D. Vidya Shree

Papers

Total Citations

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About

D. Vidya Shree is a researcher at the forefront of applying machine learning to critical environmental challenges, with a primary focus on air quality control and sustainable technology. Her most-cited work, "Air Quality Control using Machine Learning" (2024), has already garnered 3 citations, reflecting its timely relevance in addressing the environmental costs of rapid technological progress. In this study, Shree leverages advanced computational models to monitor and mitigate air pollution, offering data-driven solutions that bridge the gap between innovation and ecological responsibility. Her research underscores a commitment to harnessing AI for societal benefit, particularly in urban settings where pollution poses acute health risks. Beyond this flagship paper, Shree’s contributions extend to exploring how machine learning can optimize resource management and reduce industrial emissions, positioning her as a rising voice in the intersection of computer science and environmental science. Her work not only highlights the dual-edged nature of technological advancement but also provides actionable frameworks for cleaner, smarter cities. As a researcher, Shree exemplifies how targeted, interdisciplinary inquiry can yield practical impacts, making her a notable figure for students and scholars interested in AI-driven sustainability.