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Associate Professor Archie Chapman

Associate Professor
School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
Availability:
Available for supervision
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Dr Archie Chapman is an Associate Professor in Computer Science in the School of IT and Electrical Engineering.

Archie develops and applies principled artificial intelligence, game theory, optimisation and machine learning methods to solve large-scale and dynamic allocation, scheduling and queuing problems. His recent research has focused on applications of these techniques to problems in future power systems, such as integrating large amounts of renewable power generation and using batteries and flexible loads to provide power network and system services, while making best use of legacy network and generation infrastructure.

Prior to joining UQ, Archie was Research Fellow in Smart Grids at the University of Sydney (2011-2019), and a postdoc fellow at the University of Southampton (2009-2010), where he completed his PhD.

Archie Chapman
Archie Chapman

Emeritus Professor Jerzy Filar

Emeritus Professor
School of Mathematics and Physics
Faculty of Science
Availability:
Available for supervision

Jerzy Filar is Emeritus Professor of Applied Mathematics. Jerzy is a broadly trained applied mathematician with research interests spanning a spectrum of both theoretical and applied topics in Operations Research, Stochastic Modelling, Optimisation, Game Theory and Environmental Modelling. Professor Filar co-authored, or authored, five books or monographs and approximately 100 refereed research papers. He has a record of research grants/contracts with agencies and research institutes such as NSF, ARC, US EPA, World Resources Institute, DSTO, FRDC and the Sir Keith and Sir Ross Smith Foundation. He is editor-in-chief of Springer’s Environmental Modelling and Assessment and served on editorial boards of several other journals. He has supervised or co-supervised 29 PhD students. Jerzy's Erdos Number is 3.

Jerzy Filar
Jerzy Filar

Associate Professor Marcus Gallagher

Associate Professor
School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
Availability:
Available for supervision
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Marcus Gallagher is an Associate Professor in the Artificial Intelligence Group in the School of Information Technology and Electrical Engineering. His research interests are in artificial intelligence, including optimisation and machine learning. He is particularly interested in understanding the relationship between algorithm performance and problem structure via benchmarking. My work includes cross-disciplinary collaborations and real-world applications of AI techniques.

Dr Gallagher received his BCompSc and GradDipSc from the University of New England, Australia in 1994 and 1995 respectively, and his PhD in 2000 from the University of Queensland, Australia. He also completed a GradCert (Higher Education) in 2010.

Marcus Gallagher
Marcus Gallagher

Dr Evgenii Nekhoroshev

Theme Leader Therm. Computation
School of Chemical Engineering
Faculty of Engineering, Architecture and Information Technology
Availability:
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.

Evgenii Nekhoroshev
Evgenii Nekhoroshev

Dr Benjamin Pope

UQ Amplify Senior Lecturer
Physics
Faculty of Science
ARC DECRA Senior Research Fellow
Physics
Faculty of Science
Lecturer in Astrophysics
School of Mathematics and Physics
Faculty of Science
Availability:
Available for supervision
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I research extrasolar planets - planets around other stars - and focus on developing and applying new data science approaches for detecting and characterizing them. I have taken nearly every approach to exoplanet and stellar observation, including transits, radial velocities, direct imaging, and asteroseismology.

As an ARC DECRA Fellow I'm mainly working on exoplanet direct imaging with the James Webb Space Telescope, and especially how we can use differentiable & probabilistic programming to enhance data analysis to detect faint objects in noisy data. I also work on radio astronomy to study planets' magnetic interactions with their host stars, and using radiocarbon in tree rings as a tracer of long term solar activity.

I grew up in Sydney, New South Wales, and studied for my Honours and Masters at the University of Sydney. I studied abroad at the University of California, Berkeley, and in 2017 I completed my DPhil in Astrophysics at Balliol College, Oxford. From 2017-20 was a NASA Sagan Fellow at the NYU Center for Cosmology and Particle Physics and Center for Data Science. I'm now a Lecturer in Astrophysics and DECRA Fellow at the University of Queensland.

I'm into open source, open science, and climate action. I was a member of the winning Balliol College team in the 2016-17 series of University Challenge on BBC2, with the wonderful Joey Goldman, Freddy Potts, and Jacob Lloyd. Sometimes I write: see my latest piece in The Monthly, about the possible discovery of phosphine on Venus.

Benjamin Pope
Benjamin Pope

Professor Fred Roosta

Professor
School of Mathematics and Physics
Faculty of Science
Availability:
Available for supervision
Fred Roosta
Fred Roosta