Neda Gorjian Jolfaei

Neda Gorjian Jolfaei

Higher Degree by Research Candidate

School of Chemical Engineering

Faculty of Sciences, Engineering and Technology

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.

Her research interest includes Reliability, Asset Lifecycle Analysis, Asset Management, Stochastic Modelling, Artificial Intelligence, Diagnostics and Prognostics.

  • Appointments
    Date Position Institution name
    2018 - ongoing Reliability Engineer South Australian Water Corporation
    2017 - ongoing 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
    Asset Management Decision Making Optimisation
Date Project/ No. Investigators Funding Body Amount
         
         
         
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