School of Environment and Sustainability

Research Area(s)

  • Hydrologic models development and calibration
  • Environmental and water resources systems planning and management
  • Single- and multi-objective optimization, sensitivity analysis, and uncertainty quantification; surrogate modelling, artificial intelligence, and machine learning
  • Climate change and impacts on hydrology and water resources
  • Reconstruction of paleo-hydrology and its implications for climate change analysis

Academic Credentials

  • Doctor of Philosophy, Civil and Environmental Engineering, University of Waterloo
  • Master of Science, Civil and Environmental Engineering, Amirkabir University, Iran
  • Bachelor of Science,Civil Engineering, Iran University of Science and Technology, Iran

Selected Publications

Razavi, S., and Gupta, H.V.  2016.  A new framework for comprehensive, robust, and efficient global sensitivity analysis: I. Theory.  Water Resources Research, 52(1): 423-439.

Razavi, S., and Gupta, H.V.  2015.  What do we mean by sensitivity analysis? The need for comprehensive characterization of ‘‘global’’ sensitivity in Earth and Environmental systems models.  Water Resources Research, 51: 3070–3092.

Razavi, S., Elshorbagy, A., Wheater, H., and Sauchyn, D.  2015.  Toward understanding nonstationarity in climate and hydrology through tree ring proxy records.  Water Resources Research, 51: 1813–1830.

Asadzadeh M., Razavi, S., Tolson, B.A., Fay, D., and Fan, Y.  2014.  Pre-emption Strategies for Efficient Multi-objective Optimization: Application to the development of Lake Superior Regulation Plan. Environmental Modelling and Software, 54: 128-141.

Razavi, S. and Tolson, B.A.  2013.  An efficient framework for hydrologic model calibration on long data periods.  Water Resources Research, 49(12): 8418-8431.