Alireza Rezvani

Mr Alireza Rezvani is a Postdoctoral Research Fellow at the School of Chemical Engineering, The University of Queensland (UQ), Australia. With over a decade of experience in mining and academia, he specialises in mineral processing, ore characterisation, and metallurgical test management. His research focuses on optimising copper and gold flotation while integrating sustainable practices to enhance plant performance and reduce environmental impact.

Expertise in Mineral Processing As a member of UQ’s Minerals and Energy Resources Processing group, Mr Rezvani's research aims to improve comminution, flotation, and separation efficiency. His work delves into the complexities of solution chemistry, colloid and surface interactions, and electrochemistry, advancing the development of eco-friendly reagents to optimise mineral separation. By leveraging innovative approaches, he enhances process efficiency while minimising the environmental footprint of extractive operations.

Ore Characterisation and Process Mineralogy Mr Rezvani is an expert in advanced ore characterisation techniques, including QEMSCAN, EBSD, EMP, TEM, Synchrotron XRD, and optical microscopy. His work provides valuable mineralogical insights that drive process optimisation strategies for base and precious metal sulphides (copper, nickel, gold), rare earth elements, iron ore, and PGMs. By integrating these techniques with metallurgical testwork, he develops targeted solutions to address complex processing challenges.

Computational Modelling and Molecular-Level Investigations A key aspect of Mr Rezvani’s research is computational modelling and simulation. Using Density Functional Theory (DFT) and first-principles calculations via VASP, he investigates interfacial interactions of sulphide minerals at the atomic scale. These molecular-level insights help elucidate the fundamental mechanisms governing flotation and metallurgical processes, ultimately contributing to the development of more efficient and sustainable extraction technologies.

Process Optimisation and Metallurgical Accounting Beyond fundamental research, Mr Rezvani applies data-driven methodologies to process optimisation and metallurgical accounting. His expertise in process control and design enables the maximisation of recovery rates, operational efficiency, and sustainability in mineral processing plants. By integrating computational and experimental approaches, he continues to drive advancements in metallurgical performance and environmentally responsible mineral extraction.