Soroosh Sharifi


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PhD projects

Dr Sharifi’s primary research interests lie in the area of river and environmental hydraulics, rainfall-runoff modelling, multi-objective optimization and inverse modelling. He is particularly interested in how physical and data modeling can be coupled to better understand the underlying physics of hydro-environmental processes. A great deal of his research is focused on the application of machine learning and evolutionary computation methods in water sciences.


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Personal profile

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 6 - Clean Water and Sanitation
  • SDG 7 - Affordable and Clean Energy
  • SDG 11 - Sustainable Cities and Communities


  • TA Engineering (General). Civil engineering (General)
  • Hydrology
  • Water quality
  • river science
  • flooding
  • sustainability
  • resilience
  • QA75 Electronic computers. Computer science
  • Machine Learning
  • artificial intelligence
  • Neural Networks


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Collaborations and top research areas from the last five years

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