Description

Charles Sturt University researchers are using innovative technologies to improve water quality, including artificial intelligence (AI) and data mining. They’re conducting data-driven research to revise a water quality index (WQI). The results will benefit communities in Australia and around the world.

The research is led by Associate Professor Azizur Rahman. He is the Charles Sturt Statistics and Data Mining Research Group leader. He is conducting the project alongside Charles Sturt colleagues, and the National University of Ireland.

Water Research, the leading journal in the domain of water science and technology, published the research team’s paper, ‘A comprehensive method for improvement of water quality index (WQI) models for coastal water quality assessment’.

Period26 May 2022

Media contributions

1

Media contributions

  • TitlePostgraduate study, Research: Water quality research: how Charles Sturt researchers are using AI
    Degree of recognitionInternational
    Media name/outletCSU
    Media typeWeb
    Country/TerritoryAustralia
    Date26/05/22
    DescriptionThe research is led by Associate Professor Azizur Rahman. He is the Charles Sturt Statistics and Data Mining Research Group leader. He is conducting the project alongside Charles Sturt colleagues, and the National University of Ireland.

    Water Research, the leading journal in the domain of water science and technology, published the research team’s paper, ‘A comprehensive method for improvement of water quality index (WQI) models for coastal water quality assessment’.
    Producer/AuthorCSU
    URLhttps://insight.study.csu.edu.au/water-quality-research/
    PersonsAzizur Rahman

Keywords

  • water quality
  • research
  • artificial intelligence (AI)
  • data mining
  • statistics
  • water science
  • technology