Developing innovative sensor technologies and methodologies to monitor environmental parameters with precision and efficiency, addressing challenges in data acquisition for climate and hydrological studies.
Integrates convective cell evolution using radar data, deep learning, and probabilistic models to improve storm movement and intensity forecasting for meteorology and hydrology applications.
Exploring climate change effects on rainfall extremes using statistical and machine/deep learning with explainable AI to connect model insights to underlying physical mechanisms.
