Neda Gorjian Jolfaei

Higher Degree by Research Candidate

PhD Candidate

School of Chemical Engineering and Advanced Materials

Faculty of Engineering, Computer and Mathematical Sciences


Neda Commenced her journey with the University of Adelaide under the Faculty of Engineering, Computer and Mathematical Sciences as a PhD Candidate in  March 2017. Her research topic is "An Optimal Asset Life Cycle Decision Support Model for Asset Management in Wastewater Networks". Her research aim is to develop asset life cycle decision support model explicitly joint three aspects of asset lives and their determinants (i.e. physical age and degradation, operating, maintenance costs and technological changes). To this purpose, multi-objective optimisation method and stochastic dynamic programming would be applied to model an optimised asset renewal decision support. This model is expected to determine an optimal asset renewal and replacement  time at the lowest life cycle cost in water industry, providing a stable and reliable service and having an optimised investment plan.

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  • Appointments

    Date Position Institution name
    2018 Reliability Engineer South Australian Water Corporation
    2017 PhD Student University of Adelaide
  • Awards and Achievements

    Date Type Title Institution Name Country Amount
    2017 Scholarship Research Training Program University of Adelaide Australia
    2017 Research Award Top-Up Scholarship Water Research Australia (WRA) Australia
  • Language Competencies

    Language Competency
    English Can read, write, speak, understand spoken and peer review
    Persian Can read, write, speak, understand spoken and peer review
  • Education

    Date Institution name Country Title
    2008 - 2010 University of Tehran Iran Master Degree,
    1998 - 2002 Azad University Iran Bachelor Degree,
  • Research Interests

Date Project/ No. Investigators Funding Body Amount
         
         
         
  • Position: PhD Candidate
  • Email: neda.gorjianjolfaei@adelaide.edu.au
  • Campus: North Terrace
  • Building: Engineering South, floor 3
  • Room: 3 13
  • Org Unit: Faculty of Engineering Computer & Math Sciences

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