Dr. Shreedhar Maskey, born in Nepal, holds a PhD degree (2004) with the thesis title "Modelling Uncertainty in Flood Forecasting Systems" from Delft University of Technology/ UNESCO-IHE, Netherlands, MSc degree (1999) in Hydroinformatics with distinction from IHE Delft, Netherlands and BE degree (1991) in civil engineering from Tribhuvan University, Nepal. His working experience ranges from research and teaching to modelling systems development and professional civil engineering designs. His key areas of expertise and interest are process-based distributed hydrological modeling, flood forecasting, uncertainty analysis and climate change impacts and adaptation at a river basin scale.
Key publications:
Maskey, S. and Ojha, S. (2009). Analyzing climate change indicators in the Himalayan region from satellite observations. Procs. 3rd Yangtze Forum, April 2009, Shanghai, China.
Maskey, S., Venneker, R. and Uhlenbrook, U. (2007). Large-Scale Flow Modelling Application in the Yellow River Basin Using Satellite Derived Input Data. Proc. GIS/RS in Hydrology, Water Resources and Environment, Sep 2007, Guangzhou, China.
Maskey, S., Guinot, V. and Price, R.K. (2004). Treatment of precipitation uncertainty in rainfall-runoff modelling: a fuzzy set approach. Advances in Water Resources, 27(9), pp 889-898.
Maskey, S. and Guinot, V. (2003). Improved First-Order Second Moment Method for Uncertainty Estimation in Flood Forecasting. Hydrological Sciences J., 48(2), 183-196.
Maskey, S., Jonoski, A. and Solomatine, D.P. (2002). Groundwater remediation strategy using global optimization algorithms. J. Water Resources Planning and Management, ASCE, 128(6), 431-440.