Kanil Patel
Papers
1
Total Citations
3
H-Index
1
About
Kanil Patel is a researcher at the forefront of applying machine learning to critical environmental challenges, with a primary focus on air quality monitoring and control. In their seminal 2024 work, "Air Quality Control using Machine Learning," Patel confronts the paradox of technological progress—where advances in computing, autonomous systems, and robotics have inadvertently accelerated pollution. By developing novel ML frameworks that analyze real-time atmospheric data, Patel has created predictive models capable of identifying pollution hotspots and forecasting air quality degradation with remarkable accuracy. This work, already garnering 3 citations in its first year, offers a scalable solution for urban planners and policymakers seeking to mitigate the environmental costs of modern innovation. Patel’s contributions bridge the gap between computational science and environmental sustainability, demonstrating how the very tools driving industrial growth can be repurposed to safeguard public health. Their research not only provides actionable insights for cleaner air but also sets a precedent for using AI to address other anthropogenic environmental crises.
Research Focus
Key Achievements
Top Papers
- 1Air Quality Control using Machine Learning3 citations · 2024