Meeting roles in:
Advancing Hydrologic Processes to Improve Flood Prediction I Oral
Advancing Hydrologic Processes to Improve Flood Prediction II Poster
High-Resolution Flood Assessment and Forecasting in the Great Lakes Basin using Hydrological-Hydrodynamic Models and Socioeconomic Indicators
Evaluating the effects of climate change and cascade dams on flood frequency in the Mekong River basin using annual-maximum-series and peak-over-threshold methods
Amar completed his Ph.D. in Civil Engineering from the Indian Institute of Technology, Gandhinagar, India. His background work includes, development of a hydrologic outlook for India, which included the monitoring and forecast of reservoir storage, floods, and droughts. Before joining MSU, he worked on a UNICEF project based on the development of a hydroclimatic framework and forecasting system for India. His current research is focused on the study of the influence of groundwater, irrigation, and climate change on water resources using hydrological models and investigating the hydrological changes (under the Belmont Forum Project, funded by the NSF).