Paulin Coulibaly
Professor, Civil Engineering

Current research focuses on developing advanced flood forecasting tools by resorting to probabilistic ensemble forecasting systems, sequential data assimilation; and various information integration platforms. Other research topics involve (a) nonstationary methods for storm and flood frequency analysis under changing climate and environmental conditions; (b) the design of optimal water monitoring networks to meet climate change adaptation needs in the water sector; (c) the investigation of machine learning and satellite observations for the development of new integrated hydrologic models in ungauged or poorly gauged basins.