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Shakes an imaging expert that leads a strong deep learning, artificial intelligence (AI) focused research team interested in medical image analysis and signal/image processing applied to many areas of science and medicine. He received his Ph.D in Theoretical Physics from Monash University, Melbourne and has been involved in applying machine learning in medical imaging for over a decade.

Shakes’ past work has involved developing shape model-based algorithms for knee, hip and shoulder joint segmentation that is being developed and deployed as a product on the Siemens syngo.via platform. More recent work involves deep learning based algorithms for semantic segmentation and manifold learning of imaging data. Broadly, he is interested in understanding and developing the mathematical basis of imaging, image analysis algorithms and physical systems. He has developed algorithms that utilise exotic mathematical structures such as fractals, turbulence, group theoretic concepts and number theory in the image processing approaches that he has developed.

He is currently a Senior Lecturer and leads a team of 20+ researchers working image analysis and AI research across healthcare and medicine. He currently teaches the computer science courses Theory of Computation and Pattern Recognition and Analysis.

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.

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.

Veronika Kuchta received her Diploma degree in Mathematics at the Heidelberg University in Germany in 2010. She reseived her PhD in applied cryptography at the University of Surrey, United Kingdom in 2016. She worked as a postdoc at the Universite libre de Bruxelles in Belgium from 2016-2018. From 2018 till 2020 she has been a Research Fellow at Monash University in Melbourne, Australia. FromDecember 2020 to July 2022 she was employed by The University of Queensland, School of Mathematics and Physics as a lecturer in mathematical cryptography. From November 2022 she is Assistant Professor at Florida Atlantic University (Boca Raton, USA), department of mathematical sciences. Her research interst focus on the different areas of mathematical cryptography, post-quantum cryptography and its applications to the real-world.

Professor Mobli is a structural biologist and a group leader at the University of Queensland's Australian Institute for Bioengineering and Nanotechnology (AIBN). He is well known internationally for his contributions to the basic theory of multidimensional nuclear magnetic resonance and its applications to resolving the molecular structure of peptides and proteins, as well as studying their physiochemical properties and function. Mehdi's contributions to the field has been recognised by being appointed an Executive Editor of the AMPERE society's journal "Magnetic Resonance", and to the advisory board of the international Biological Magnetic Resonance Data Bank (BMRB) as well as serving on the board of directors of the Australia and New Zealand Society for Magnetic Resonance (ANZMAG). He is a former ARC Future Fellow and recipient of the ASBMB MERCK medal, the Australia Peptide Society's Tregear Award, the ANZMAG Sir Paul Callaghan medal and the Lorne Proteins Young Investigator Award (now Robin Anders Award).

Prof. Mobli's research group focuses on characterising the structure and function of receptors involved in neuronal signalling, with a particular focus on developing new approaches for the discovery and characterisation of modulators of these receptors through innovations in bioinformatics, biochemistry and and biophysics. This work has led to publication of more than 100 research articles attracting over 6,000 citations.

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.

I am a Cosmologist studying the properties of the Universe on the largest scales.

By mapping the positions of millions of galaxies, I investigate the unknown physics of the dark energy which drives the evolution of the Universe today, and the physics just after the Big Bang, when the ripples which grew under gravity to become galaxies were created.

I am actively participating in the key experiments designed to understand dark energy and gravity. I am co-chair of the Dark Energy Spectroscopic Instrument (DESI) lensing working group, and an active member of the Vera Rubin Observatory (LSST) and the Dark Energy Survey (DES). In the past, I had led science with the Sloan Digital Sky Survey, one of the major quests of contemporary physics that has spurred advancement in answering a range of fundamental questions about the origins of the universe.

I am passionate about communicating top-level research ideas to audiences outside our immediate academic sub-community. I have experience on a variety of media, including radio, public talks and lectures to local schools, science festivals and amateur astronomy groups, outreach activities at Stargazing Live events, as well as through written pieces.

I am an advocate for making STEM field accessible to everyone. During my career, I took part into different initiatives aiming to reduce structural barriers faced by different minorities in academia and inspire the next generation of STEM careers. I am part of the Women in Science Association with the aim to foster a community for young women in STEM, within and beyond the academic community. I worked and volunteered at N.G.O. centres, in Italy and Australia supporting young students to overcome educational inequality caused by poverty and other conditions.

Since 2021 I am on the Early Career Chapter committee for the Astronomical Society of Australia (ASA) to promote and assist the career development of early and mid-career researchers in the Australian astronomy community. I am also part of the Wellbeing ambassador program at University of Queensland, to promote and assist the career development of early and mid-career researchers in the Australian astronomy community.