Dr Firouzeh Taghikhah

Postdoctoral research fellow
ANU Crawford School of Public Policy

Firouzeh is a Postdoctoral research fellow at the Crawford School of Public Policy at the Australian National University (ANU). She is also a visiting research fellow in Center on Persuasive Systems for Wise Adaptive Living (PERSWADE), Faculty of Engineering and Information Technology (FEIT) at University of Technology Sydney (UTS), and a Young Resilient Fellows for Resilience Engineering (RE) community of the Four Technical Universities (4TU) in the Netherlands. She obtained her PhD in Analytic and Systems Modeling form UTS in January 2021 with special examiners’ recommendations for outstanding thesis. She received her Bachelor’s (2011) and a Master’s degree (distinguished student award and best thesis award of 2014) in Industrial Engineering from one of the most prestigious universities in Iran, Ferdowsi University of Mashhad.

Firouzeh’ s research interests are in the areas of sustainable development, food resiliency, socio-environmental systems, and behavioral science. She has designed and developed a decision support tool to explore the transition pathways towards sustainable agro-food systems focusing on consumer behavior change. For developing this tool, she used complex system and integrated modeling methods including Agent-based modeling, System dynamics, Discrete event simulation, and Optimization. Her study outputs have been published in various high impact journals such as European Journal of Operation Research, Journal of Cleaner Production, Environmental science and policy, etc.

Currently, she is working on a global agriculture project, titled “Integrated farm modelling to improve resilience and sustainable prosperity”. This research aims to develop a decision support tool that can automatically assess the health of ecosystems to help land stewards to use their land cultivation processes and make informed decisions about their practices. The ultimate goal of the project is to enable farmers to sustain their land, maximize its value for biodiversity and resilience, and promote carbon capture and regenerative farming.



  1. Taghikhah, F, Voinov, A, Shukla, N, & Filatova, T., 2021, ‘Shifts in consumer behavior towards organic products: theory-driven data analytics’, Journal of retailing and consumer services, (Accepted). (Q1; A)

  2. Taghikhah, F, Voinov, A, Shukla, N, Filatova, T, & Anufriev, M., 2020, ‘Integrated modeling of extended agro-food supply chains: A systems approach’, European Journal of Operation Research. (Q1; A*)

  3. Taghikhah, F, Voinov, A, Shukla, N, & Filatova, T., 2020, Exploring consumer behavior and policy options in organic food adoption: Insights from the Australian wine sector’, Environmental science and polic,. (Q1; A)

  4. Taghikhah, F, Voinov, A & Shukla, N., 2019, ‘Extending the supply chain to address sustainability’, Journal of Cleaner Production, vol. 229, pp. 652-666. (Q1; A)

  5. Taghikhah, F, Filatova, T, Voinov, A., 2020, ‘From Theoretical to Empirical Agent- based Models: A Comparison Framework’, Journal of Artificial Societies and Social Simulation (Revision). (Q1; A)

  6. Rahman, T., Taghikhah, F., Paul, S., Shukla, N, Agarwal. R., 2020, ‘An Agent- Based Model for Supply Chain Recovery in the Wake of the COVID-19 Pandemic’, Computers & Industrial Engineering (Under review). (Q1; A)

  7. Anjum, M., Voinov, A., Taghikhah, F., 2020 ‘Discussoo: Towards an intelligent tool for multi-scale participatory modeling’, Environmental Modelling and Software (Under review). (Q1; A)

  8. Shakibayifar, M, Hassannayebi, E, Mirzahossein, H, Taghikhah, F & Jafarpur, A., 2018, ‘An intelligent simulation platform for train traffic control under disturbance’, International Journal of Modelling and Simulation, 39(3), 135-156.

  9. Taghikhah, F., & Pooya, A. (2014). Developing an Integrated Model to Improve the Performance of Kansei Engineering by PCA and TOPSIS. Advances in Environmental Biology, 8.


  1. Sathyanarayana, A., Shukla, N., Taghikhah F., ‘Modeling the impact of COVID 19 panademic on a hardware retail supply chain’, 2020, IEEE International Conference on Industrial Engineering and Engineering Management.

  2. Taghikhah, F, Voinov, A, Shukla, N, & Filatova, T., ‘Modeling extended agro- food supply chain: pathways to sustainability through consumer behavioral change’, 2020, 22nd Conference of the International Federation of Operational Research Societies, Jun 2020, Seoul, South Korea (accepted).

  3. Taghikhah, F, Voinov, A, Shukla, N, Filatova, T, & Anufriev, M., ’Modelling the impacts of consumer policies on organic farming adoption: Ecological and sociological perspectives’, 23rd International Congress on Modelling and Simulation, 1-6 December 2019, Canberra, Australia.

  4. Taghikhah, F, Shukla, N, Goodhew, T, D Ohehir, C, & Browne, B., ‘Examining health-seeking behavior and delay in diagnosis of diabetes: an agent-based model’, IEEE Systems Modelling Conference, 12 September 2019, Canberra, Australia.

  5. Taghikhah, F, Raffe, WL, Mitri, G, Toit, SD, Voinov, A & Garcia, J., ‘Last Island: Exploring Transitions to Sustainable Futures through Play’, Proceeding of the Australian Science Week Multiconference (ACSW), Jan 2019, Sydney, Australia.

  6. Voinov, A, Raffe, W, Garcia, J, Du Toit, S, Mitri, G, Taghikhah, F., ‘Serious Games and Models for Sustainable Futures’, Proceeding of 9th International Congress on Environmental Modeling and Software, 24-28 June 2018, Colorado, USA.

  7. Taghikhah, F, Voinov, A, Shukla, N., ‘Effects of Price and Availability on Consumer Behaviour towards Sustainable Food’, Proceeding of 9th International Congress on Environmental Modeling and Software, 24-28 June 2018, Colorado, USA.

  8. Taghikhah, F, Daniel, J & Mooney, G., 2017, ‘Sustainable supply chain analytics: grand challenges and future opportunities’, In Proceedings of Pacific Asia Conference on Information Systems (PACIS), July 2017, Malaysia.

  9. Taghikhah, F, Daniel, J & Mooney, G., 2017, ‘Profit, planet and people in supply chain: grand challenges and future opportunities’, Proceedings of 25th European Conference on Information Systems (EACIS), June 2017, Portugal.

  10. Yousefi, M, Hosseinioun, S & Taghikhah, F, 2012. ‘Determining optimum number of Kanbans for workstations in a Kanban-based manufacturing line using discrete-event simulation: A case study’ In Proceedings of the 2012 International Conference on Industrial Engineering and Operations Management, Jun 2012, Istanbul, Turkey.