Buddhi Wijesiri

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I aspire to ensure access to adequate and safe water for ever-increasing populations. The fundamental purpose of my research is safeguarding water resources by mitigating water pollution. As such, I create knowledge and mathematical tools to understand the terrestrial processes that degrade water resources, essential for designing effective pollution mitigation measures.

I possess expertise and experience in applying physically-based and statistical modelling techniques in multiple computing platforms together with locally-sourced field data and data extracted from global databases to understand mechanisms of hydrological and pollution processes. In particular, I have successfully applied Bayesian Networks (BNs) and geospatial analysis to understand complex non-linear relationships among variables that determine pollutant behaviours in water environments.

My long-term research investigates how environmental changes and urbanisation influence degradation of water resources.

Experience

  • 2024–present
    Lecturer/Research Fellow, Queensland University of Technology
  • 2022–2024
    Research associat, Queensland University of Technology
  • 2020–2022
    Postdoctoral researcher, Queensland University of Technology
  • 2018–2020
    Postdoctoral research fellow, Shenzhen University
  • 2017–2019
    Adjunct research fellow, Beijing Normal University
  • 2017–2018
    Adjunct professor, Shenzhen University
  • 2016–2018
    Postdoctoral researcher, Queensland University of Technology

Education

  • 2016 
    Queensland University of Technology (QUT), PhD
  • 2011 
    University of Moratuwa, BSc Engineering (Hons)

Professional Memberships

  • International Water Association (IWA)
  • Institution of Engineers Australia

Research Areas

  • Environmental Engineering Modelling (090702)
  • Water Resources Engineering (090509)
  • Water Quality Engineering (090508)

Contact Buddhi for

  • General
  • Media request
  • Speaking request
  • Consulting / Advising
  • Research collaboration
  • Research supervision