Dr. Anthony Halog: Global Leader in AI-Enabled Circular Economy and Sustainable Systems
Dr. Anthony Halog is an internationally recognized expert in AI-driven circular economy, life cycle assessment (LCA), and sustainable systems engineering. His research integrates artificial intelligence, industrial ecology, and systems thinking to optimize green hydrogen production, bioeconomy transitions, and waste-to-energy systems.
As a Senior Academic at the University of Queensland, Dr. Halog leads research projects funded by ARC, EU Horizon, and industry partners. He has published over 130 high-impact journal articles, advancing knowledge in sustainability science and AI-enabled resource optimization. His work has influenced policy development and industry decarbonization strategies in Australia, Europe, and the Middle East.
Dr. Halog has been awarded prestigious international fellowships, including the OECD Research Fellowship (UK/Finland), DAAD Fellowship (Germany), Japan Society for the Promotion of Science (JSPS) Fellowship, and NSERC Fellowship (Canada). He has held visiting research positions in the UK, Germany, Japan, Saudi Arabia, and Morocco, expanding his global impact on circular economy modeling and AI applications in sustainability.
Beyond academia, he plays a key role in policy advisory and industry collaboration, partnering with the OECD, the United Nations, and the European Commission. As a keynote speaker and editorial board member, he continues to shape global discourse on sustainability transitions and AI-driven resource efficiency.
Faculty of Engineering, Architecture and Information Technology
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Biography
Dr Juan P. Hidalgo is a Senior Adjunct Fellow within the School of Civil Engineering (honorary position) and is currently a Fire Safety Engineer at Airbus Operations GmbH.
Juan joined The University of Queensland in 2016 as the first of the three academic appointments in the Centre for Future Timber Structures to lead the research and teaching on the fire safety of engineered timber structures. His background is in fire safety engineering, building systems and timber construction. His research to date has primarily focused on the performance of building materials for sustainable and durable construction exposed to fire conditions. Juan's field of expertise comprises material thermal degradation and flammability, heat transfer, and fire dynamics, highlighting his vast experience in multi-scale fire testing. Juan is actively involved in multiple research projects focused on sustainable construction, such as timber, insulation materials, or composites, and studying the fire dynamics in modern buildings. At present, Juan contributes to supervision and research collaborations on fire safety for the built environment with the Fire Safety Engineering Research Group at UQ.
Juan completed his BEng-MEng in Industrial Engineering at the Universitat Politècnica de València (Spain), a five-year degree equivalent to Mechanical/Civil Engineering in the UK with a final year specialisation with a particular focus on structural engineering. He also attained an MSc in Industrial Construction and Installations at the same University. During his MSc, Juan joined PBD Fire Consultants S.L., a Spanish company specialising in fire safety design for the built environment. He worked for this company for two years as a consulting fire engineer in multiple national and international projects. Following the completion of his MSc in 2011, Juan joined the University of Edinburgh (UK) to pursue his PhD in Fire Safety Engineering sponsored by Rockwool International A/S, which was completed in 2015 with the thesis entitled “Performance-Based Methodology for the Fire Safe Design of Insulation Materials in Energy Efficient Buildings”. He continued his academic career at the University of Edinburgh as a Postdoctoral Research Associate at the BRE Centre for Fire Safety Engineering, being involved in numerous research projects such as the FireComp project, and other projects focused on the fire performance of facades, timber construction, concrete and diverse construction systems.
Previous involvement in Teaching and Learning
During his appointment as academic staff at UQ, Dr Juan P. Hidalgo contributed to the teaching of Civil Engineering Bachelor and Masters programmes, including the BE-ME in Civil and Fire Safety Engineering (EA-accredited) and the MEngSc in Fire Safety Engineering. He was involved in the following courses:
Introduction to Fire Safety Engineering (FIRE3700).
Fire Engineering Design: Solutions for Implicit Safety (FIRE4610).
Fire Dynamics (FIRE7620).
Fire Dynamics Laboratory (FIRE7640).
Structural Fire Engineering (FIRE7660).
Fire Engineering Design: Explicit Quantification of Safety (FIRE7680).
Faculty of Health, Medicine and Behavioural Sciences
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Dr Moni holds a PhD in Artificial Intelligence & Data Science in 2014 from the University of Cambridge, UK followed by postdoctoral training at the University of New South Wales, University of Sydney Vice-chancellor fellowship, and Senior Data Scientist at the University of Oxford. Dr Moni then joined UQ in 2021. He also worked as an assistant professor and lecturer in two universities (PUST and JKKNIU) from 2007 to 2011. He is an Artificial Intelligence, Computer Vision & Machine learning, Digital Health Data Science, Health Informatics and Bioinformatics researcher developing interpretable and clinical applicable machine learning and deep learning models to increase the performance and transparency of AI-based automated decision-making systems.
His research interests include quantifying and extracting actionable knowledge from data to solve real-world problems and giving humans explainable AI models through feature visualisation and attribution methods. He has applied these techniques to various multi-disciplinary applications such as medical imaging including stroke MRI/fMRI imaging, real-time cancer imaging. He led and managed significant research programs in developing machine-learning, deep-learning and translational data science models, and software tools to aid the diagnosis and prediction of disease outcomes, particularly for hard-to-manage complex and chronic diseases. His research interest also includes developing Data Science, machine learning and deep learning algorithms, models and software tools utilising different types of data, especially medical images, neuroimaging (MRI, fMRI, Ultrasound, X-Ray), EEG, ECG, Bioinformatics, and secondary usage of routinely collected data.
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Centre Director of ARC COE for Engineered Quantum Systems (EQUS)
ARC COE for Engineered Quantum Systems
Faculty of Science
ARC Australian Laureate Fellow
School of Mathematics and Physics
Faculty of Science
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Professor White is Director of the Australian Research Council Centre of Excellence in Engineered Quantum Systems, an Australian Research Council Laureate Fellow, and leads the Quantum Technology Laboratory at UQ, which he established in 1999. He is internationally recognised for research in quantum science and technology, and is interested in all aspects of quantum weirdness. He is a Fellow of the Australian Academy of Science, the American Physical Society, and Optica. Andrew’s research spans: quantum foundations; production, manipulation and exploitation of quantum states of light, both in conventional optics and nanophotonics; and utilising quantum technology, be it in quantum computation, quantum communication, quantum sensing, or neuromorphic computing. Details can be found at the Quantum Laboratory website.
Professor White has worked with twenty-one postdoctoral researchers since 2001, five of whom received ARC Discovery Early Career Researchers Awards whilst working in his lab, six receiving Marie Skłodowska-Curie Fellowships subsequently and one a Erwin Schrödinger Fellowship. He has supervised more than 40 postgraduate students, who have received an array of awards including a Rhodes Scholarship, three Springer PhD thesis prizes, Australian representative at the Lindau Nobel Meeting, the only-ever runner for the Australian Institute of Physics Bragg Medal, and UQ Medals and Valedictorian, to name but a few.
Bio: Andrew was raised in a Queensland dairy town, before heading south to the big smoke of Brisbane to study chemistry, maths, physics and, during the World Expo, the effects of alcohol on uni students from around the world. Deciding he wanted to know what the cold felt like, he first moved to Canberra, then Germany—completing his PhD in quantum physics—before moving on to Los Alamos National Labs in New Mexico where he quickly discovered that there is more than enough snow to hide a cactus, but not nearly enough to prevent amusing your friends when you sit down. Over the years he has conducted research on various topics including shrimp eyes, nuclear physics, optical vortices, and quantum computers. He likes quantum weirdness for its own sake, but his current research aims to explore and exploit the full range of quantum behaviours—notably entanglement—with an eye to engineering new technologies and scientific applications. He is currently Director of the Centre of Engineered Quantum Systems, an Australia-wide, 14-year long, research effort by more than 250 scientists to build quantum machines that harness the quantum world for practical applications.