Neda Gorjian Jolfaei

Higher Degree by Research Candidate

PhD Candidate

School of Chemical Engineering

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.

  • Journals

  • Conference Papers

    Year Citation
    2017 Matthew Konetschka., Harry Jin., Gorjian Jolfaei, N., Stephen Bologiannis., Flavio Bressan., Christopher Chow., & Bo Jin. (2017). Developing intelligent, cost saving pump controls for wastewater networks through integration with the electricity spot market. In Proceedings of the 2017 Australia's International Water Conference & Exhibition. Sydney, NSW: Australian Water Asscoiation.
    2017 Gorjian Jolfaei, N., Jin, B., Chow, C., Bressan, F., & Gorjian, N. (2017). An Optimised Energy Saving Model for Pump Scheduling in Wastewater Networks. In Springer (pp. 1-12). Brisbane, Australia.
  • Theses

    Year Citation
    2010 Gorjian Jolfaei, N. (2010). Identification and Ranking of the Influential Marketing Factors on the Export of Iran's Steel in the Trading-Industry Marketing View.
    2003 Gorjian Jolfaei, N. (2003). Modelling and Simulating Programable Logic Controllers for Refining Output Gas and Dedusting Bag Filters at Blast Furnaces of Esfahan Steel Company. (Undergraduate Dissertation).
Date Project/ No. Investigators Funding Body Amount
  • Position: PhD Candidate
  • Email:
  • Campus: North Terrace
  • Building: Engineering South, floor 3
  • Room: 3 13
  • Org Unit: Faculty of Engineering Computer & Math Sciences

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