Dr Razavi’s research work is at the science-policy interface, bridging hydrological modelling and prediction of flood and drought to integrated management of water resources and decision and policy making. He is also an expert in systems and data sciences, sensitivity and uncertainty analysis, and machine learning.

  • Climate change
  • Water security
  • Land-water management
  • Environmental change
  • Hydrological modelling
  • Environmental and water resources systems planning and management
  • Optimization
  • Sensitivity analysis
  • Uncertainty quantification
  • Climate change
  • Impacts of climate change
  • Surrogate modeling
  • Artificial intelligence
  • Machine learning
  • PhD in Civil Engineering, 2013

    University of Waterloo, Canada