Associate Professor, Department of Hydrology, and Joint Faculty at the International Centre of Excellence for Dams (ICED), IIT Roorkee.
Prof. Ashutosh Sharma leads the EcoHydroLab at IIT Roorkee, where his group studies water, ecosystems, and climate through a blend of large-sample hydrology, machine learning, and process understanding. His work spans the development of pan-India hydrometeorological datasets, deep learning for streamflow and flood prediction, ecohydrology and ecosystem services, and dam safety and flood risk in data-scarce mountain environments.
Before joining IIT Roorkee, he was a postdoctoral scholar at Pennsylvania State University and a visiting researcher at the University of Nebraska–Lincoln and McGill University. He serves on editorial boards of several leading hydrology journals and contributes to national and international expert committees on water resources and dam safety.
Most Read Paper 2025, Water Resources Research — deep-learning streamflow prediction with intermittent observations.
Member, State Committee on Dam Safety (SCDS), Government of Uttarakhand.
Prof. R.J. Garde Young Researcher Award, Indian Society of Hydraulics (ISH).
IEI Young Engineers Award (Environmental Engineering), The Institution of Engineers (India).
Quentin Martin Best Practice-Oriented Paper Award, ASCE-EWRI.
Editor's Choice & Most Cited Paper 2022–23, Water Resources Research (co-authored).
Water Advanced Research Innovation (WARI) Fellowship, Indo-US Science Technology Forum (IUSSTF).
Shastri Research Student Fellowship, Shastri Indo Canadian Institute (SICI).
Associate Editor or Editor for:
As Principal Investigator or Co-PI, supported by national and international agencies.
Leveraging NCMRWF weather forecasts for enhanced streamflow prediction.
Regional cooperation for freshwater ecosystem services in the Himalayas.
Improving primary healthcare for non-communicable diseases during severe flooding in India.
Comprehensive assessment of climate-change impacts on water resources.
Probabilistic flood and sediment-transport forecasting during extreme events.
Glacier melt-runoff changes and their hydro-climatic and topographic linkages.
HYN-578 — a course designed to explore interactions and feedbacks between hydrological and ecological processes across scales.
HYN-528 — systems analysis applied across surface water, groundwater, and watershed management.
HYN-538 — modern data collection, emphasising remote sensing and non-contact observations.
HYC-507 — core hydrological processes and modelling.
DS-502 / DSL-502 — disaster management concepts and Emergency Action Plans.
HYN-102 — undergraduate foundations of engineering hydrology.
Department of Hydrology, IIT Roorkee, Roorkee – 247667, Uttarakhand, India.