Devanshi Pathak
Papers
1
Total Citations
7
H-Index
1
About
Devanshi Pathak is an emerging leader in the intersection of environmental science and machine learning, with a primary focus on advancing the science and management of river carbon emissions. Her work addresses a critical gap in global greenhouse gas inventories by integrating in-situ sensor technology with machine learning to produce more accurate, high-resolution estimates of carbon emissions from river networks. Her most cited paper, "Integrating sensor data and machine learning to advance the science and management of river carbon emissions" (2024), has already garnered 7 citations, reflecting its timely impact on the field. By proposing the use of mobile sensors on robotic platforms, Pathak’s research paves the way for real-time, scalable monitoring of aquatic carbon fluxes—a vital step toward effective climate mitigation. Her contributions are particularly notable for bridging the gap between field data collection and predictive modeling, offering a framework that can be adapted for other greenhouse gases and aquatic systems. As a researcher, Pathak is poised to shape the future of environmental monitoring, making her work essential reading for students and scientists interested in sensor networks, carbon cycle science, and data-driven environmental management.
Research Focus
Key Achievements
Top Papers
- 1