Dr. Sreeparvathy Vijay is an Assistant Professor in the Department of Civil Engineering at the Indian Institute of Technology Madras, specializing in Hydraulics and Water Resources Engineering (HWRE). She works at the intersection of hydrology, remote sensing, and artificial intelligence/data science, with a focus on addressing some of the most critical challenges in water resources management and climate resilience.

Her research spans hydroclimatic extremes, design of hydrometeorological monitoring networks, climate change impact assessment, climate regionalization and attribution analysis, and the non-stationarity of hydrometeorological variables. She integrates multi-source datasets, remote sensing products, and advanced machine learning/deep learning methods to improve prediction, monitoring, and assessment of natural disasters (e.g., floods and droughts). Driven by the vision of creating data-informed, climate-resilient water systems, she actively works on bridging the gap between physical process understanding and data-driven innovations in hydrology.