Dr. Monu Yadav

I work at the intersection of applied mathematics, tropical cyclone dynamics, machine learning, and remote sensing to improve understanding and prediction of extreme weather and environmental processes. My research develops hybrid frameworks integrating physical models, data assimilation, and artificial intelligence to estimate key characteristics of tropical cyclones while reducing predictive uncertainty. 

I also integrate remote sensing and data-driven approaches to quantify methane emissions from wetlands. My long-term goal is to develop physics-informed, data-driven forecasting and environmental monitoring systems that enhance predictive capabilities and support climate-aware decision-making. 

Research Interests: 

• Tropical Cyclone Dynamics 

• Data Assimilation 

• Physics-Informed Machine Learning 

• Remote Sensing of Greenhouse Gas Emissions