Faculty of Engineering, Architecture and Information Technology
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Available for supervision
Dr Evgenii Nekhoroshev is a Postdoctoral Research Fellow at the School of Chemical Engineering and a member of the Pyrometallurgy Innovation Centre led by Prof. Evgueni Jak.
He graduated with a Master in Chemistry (chemical thermodynamics) from Lomonosov's Moscow State University, Deparment of Chemistry in 2012. His Master's Thesis was "Thermodynamic optimization of the NaOH-Al(OH)3-Na2SiO3-H2O system for applications in Bayer's process of bauxite treatment" as part of a bigger project initiated in collaboration with Rusal company aimed at utilisation/valorisation of red mud residues accumulated during the production of aluminium oxide from bauxite ores.
In 2019, he completed a PhD in Metallurgical Engineering at Ecole Polytechnique of Montreal, Canada within The Centre For Research in Computational Thermodynamics (CRCT), where he acquired expertise in FactSage software, multicomponent database development, and was included in the list of official collaborators of FactSage. His PhD thesis was "Thermodynamic optimization of the Na2O-K2O-Al2O3-CaO-MgO-B2O3-SiO2 system" sponsored by Glass Consortium including Corning and SCHOTT glass producers. The purpose of the database he developed was to assist the industry in designing new glasses with special properties: chemically hardened glasses (smartphones), technical glasses with high thermal and chemical resilience (boron-containing glasses), chemically inert glasses, etc.
Short after receiving his PhD, Dr Evgenii Nekhoroshev accepted a position at The University of Queensland as part of the Pyrometallurgy Innovation Centre's team where he has an official title of Theme Leader in Thermodynamic Computations, combining his broad expertise in metallurgy, chemical engineering, applied mathematics, and programming.
Dr Evgenii Nekhoroshev has always been passionate about formalisation and automation of big research tasks. He started working on developing an automated solver for thermodynamic optimisation during his PhD thesis which was improved and finalised using the ideas of Prof. Evgueni Jak about real-time derivative matrix optimization and sensitivity analysis applicable to large multicomponent systems. His contribution to the Centre allowed to make transition to a continuous optimization approach when experimental and modelling streams of work in the Centre are efficiently combined together. It allows to include the most recent experimental datasets into a self-consistent database update with minimal time delays.
Affiliate of ARC COE for Engineered Quantum Systems (EQUS)
ARC COE for Engineered Quantum Systems
Faculty of Science
Professor
School of Mathematics and Physics
Faculty of Science
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Available for supervision
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Professor Stace completed his PhD at the Cavendish Lab, University of Cambridge in the UK on quantum computing, followed by postdoctoral research at the Department of Applied Mathematics and Theoretical Physics, also at Cambridge, and Queens' College, Cambridge. Since 2006, he has held various ARC research fellowships, most recently a Future Fellowship (2015-2019).
His research topics include device physics for quantum computing solid-state and atomic systems, quantum error correction, and quantum measurement and precision sensing.
Professor Stace is the Deputy Director of the ARC Centre of Excellence in Engineered Quantum Systems (equs.org).
Dr Verdi's research is in the field of computational materials physics. Her work employs first-principles or ab initio methods, complemented by machine learning techniques, to predict and understand physical properties of materials without relying on empirical models.
She received her doctorate in Materials from the University of Oxford in 2017. After working at the University of Oxford and the University of Vienna, Dr Verdi moved to the University of Sydney in 2023 as an ARC DECRA Fellow. In the same year she then joined UQ as a Lecturer in Condensed Matter Physics.
Her current research focuses on understanding the structural, optical and thermodynamic properties of atomic defects for applications in quantum technologies. She is also interested in studying the influence of atomic vibrations, defects, temperature and disorder on the intrinsic properties of various functional materials that can be exploited for novel technologies. Feel free to reach out to Dr Verdi if you are interested in simulating materials properties from first principles using supercomputers and exploring how this can help develop better materials.
Faculty of Engineering, Architecture and Information Technology
Availability:
Available for supervision
Yuan Xu completed a Bachelor of Engineering degree (Chemical and Material) from the University of Queensland in 2015. After that, he started his PhD in the research field of colloidal science, rheology and chemical engineering, supervised by Professor Jason Stokes. He has continued in UQ as postdoctoral research fellow since 2019, at which, he has contributed to multidisciplinary projects including viscoelastic lubrication of soft matter systems, and programming structural anisotropy in nanocellulose hydrogels. His research capability focuses on the area of rheology, colloidal science/ physical chemistry, material/physical science, soft matters/complex fluids, and tribology/lubrication.
Xiuwen Zhou received her PhD in 2014 from the University of Geneva (Switzerland), where she worked with Prof Tomasz A. Wesolowski. Then she moved to the University of Queensland (UQ) as a visiting scholar, supported by two awarded fellowships, i.e., a Swiss National Science Foundation Early Postdoc Mobility fellowship (2015) and an Australia-APEC Woman in Research Fellowship (2016), hosted by Prof Ben Powell and Prof Paul Burn. She then took up a UQ Development Fellowship in 2017, working as a teaching and research fellow at UQ School of Mathematics and Physics. Later, she was awarded an Australia Research Council Discovery Early Research Award (ARC DECRA) commencing in 2019. She is currently an ARC DECRA Fellow and a UQ Amplify Fellow.