
Makes learning feel effortless and fun.
Creates dynamic and thought-provoking lessons.
Always kind, respectful, and approachable.
Helps students develop critical skills.
Helps students build confidence and skills.
Associate Professor Elham Mardaneh holds the position of Associate Professor in the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University, within the Faculty of Science and Engineering. She earned a BEng and MEng in Industrial Engineering, followed by a PhD in Applied Mathematics. Her research specializations encompass operations research, industrial optimisation, mathematical modelling, and the application of quantitative methods to optimise complex systems and processes across industries including mining, agriculture, logistics, energy, and manufacturing. As a core member of the Centre for Optimisation and Decision Science, Mardaneh develops advanced mathematical models and algorithms that have been published in prestigious international journals, amassing over 385 citations according to Google Scholar. Her work demonstrates significant impact through practical applications, such as decision support systems for grain handling and storage logistics, optimisation for open-pit mine production scheduling under price uncertainty, and solutions for underground mining stope boundaries.
Throughout her career at Curtin University, Mardaneh has advanced from lecturer roles to her current associate professorship, where she supervises postgraduate students and leads collaborative projects with industry partners. Key publications include 'Review of Solution Methodologies for Open Pit Mine Production Scheduling Problem' (2021, Engineering Optimization), 'Optimal Pricing and Production Planning for Multi-product Multi-period Systems with Backorders' (2013, Journal of Optimization Theory and Applications), 'A Mathematical Model for Open Pit Mine Production Scheduling Under Mineral Price Uncertainty' (2021, Resources Policy), 'Concurrent Optimisation of Open Pit Ore and Waste Movement with Optimal Haul Road Selection' (2024), 'Pattern Search Method for Accelerating Stope Boundary Optimization Problem in Underground Mining Operations' (2021), and 'Robust Optimisation Model for the Cold Food Chain Logistics Problem' (2013, International Journal of Logistics Economics and Globalisation). She has contributed to award-winning innovations, including the 2018 Curtinnovation Award for grain handling optimisation and the 2024 Curtinnovation Award for the MiniJet spacecraft thruster technology, alongside the Trailblazer Award for the Maintenance Schedule Optimiser. Mardaneh also engages in public outreach through lectures, such as 'Optimisation in Action' at the AMSI Winter School 2026.

Photo by Osarugue Igbinoba on Unsplash
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