Overview
Background
Dr Anthony Halog: Expert in Circular Economy, Life Cycle Thinking, and Sustainable Systems Engineering
Dr Anthony Halog leads interdisciplinary research on circular economy transitions, life cycle assessment, and AI-enabled sustainable systems at The University of Queensland. With a mission to co-design decarbonised and circular solutions for complex global challenges, his work advances the UN Sustainable Development Goals (SDGs) and supports UQ’s strategic priorities of research translation, education transformation, and community enrichment.
His research spans bioeconomy, green hydrogen, waste-to-energy, and climate policy systems, with over 130 scholarly outputs and fellowships from OECD, DAAD, JSPS, and NREL. He actively secures research funding, supervises HDR and EMCR researchers, and partners with industry, government, and international universities to foster innovation and impact.
Dr Halog teaches across undergraduate and postgraduate programs on sustainable consumption, industrial ecology, and life cycle thinking. His teaching is informed by real-world research and student-centred pedagogies, with consistently strong SECaT feedback. He mentors diverse cohorts and champions experiential, inclusive, and future-focused education.
He serves on international panels and university committees, contributing to UQ’s mission through leadership, policy advice, and community engagement. Dr Halog exemplifies UQ’s values of excellence, sustainability, and global citizenship.
Keywords: Circular Economy, Life Cycle Assessment, Green Hydrogen, Sustainable Systems, AI for Sustainability, Industrial Ecology, ESG, Bioeconomy, Systems Thinking, Net Zero
Availability
- Dr Anthony Halog is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Bachelor of Science, University of Mindanao
- Masters (Research) of Engineering, Asian Institute of Technology
- Masters (Coursework) of Business Administration (Advanced), Monash University
- Doctoral Diploma, Karlsruher Institut für Technologie
Research interests
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AI/Digitalisation-Enabled Circular Bioeconomy
This research project aims to leverage digitalization, AI, and data analytics to advance the circular bioeconomy by optimizing the conversion of sustainable biomass into high-value bioproducts. Using life cycle sustainability assessment (LCSA) and systems modeling, the project will enhance resource efficiency, reduce environmental impact, and support the transition to a circular economy. Key outcomes include scalable solutions for sustainable production systems and policy recommendations for bioeconomy advancement.
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Transitions to Energy Sustainability
This research project focuses on advancing energy sustainability through the integration of digitalisation, artificial intelligence (AI), data science, and analytics methods. The aim is to develop innovative solutions that enhance the efficiency and sustainability of energy systems. By leveraging AI and data-driven approaches, this project will explore the optimization of renewable energy integration, predictive maintenance, and energy consumption patterns, contributing to a resilient, low-carbon energy future.
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Corporate Environmental Management for Sustainable and ESG Business Practices
This research project on Corporate Environmental Management aims to leverage digitalisation, AI, data science, and analytics to advance sustainable business practices aligned with ESG frameworks. By integrating cutting-edge technologies, the project will develop predictive models and decision-support systems to optimise resource efficiency, reduce carbon footprints, and enhance circular economy strategies. The project seeks to create scalable solutions that drive sustainability in corporate operations, making significant contributions to both academic research and industry practices.
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AI/Data Science-Enabled Circular Economy
Leveraging digitalization, AI, and data analytics, this research explores innovative pathways for advancing a circular economy. By integrating these technologies, the project aims to optimize resource efficiency, minimize waste, and close material and energy loops, supporting sustainable production and consumption. The focus is on developing data-driven strategies to enhance circularity across industries, contributing to global sustainability and achieving economic resilience through cutting-edge, circular business models.
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Digitalisation-Enabled Industrial Ecology
Leveraging digitalisation, AI, and data science, this project in Industrial Ecology aims to innovate sustainable industrial systems by analyzing material and energy flows. It focuses on transforming linear production processes into circular, low-carbon models, enhancing resource efficiency and minimizing waste. The research integrates life cycle assessment, circular economy principles, and advanced computational methods to develop scalable solutions for sustainable production and consumption systems, aligning with global sustainability goals.
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Environmental systems modelling and analysis
This research focuses on environmental systems modeling and analysis, leveraging digitalization, AI, and data science to optimize sustainability outcomes. By integrating tools such as Life Cycle Assessment (LCA) and Material Flow Analysis (MFA), the project aims to address complex environmental challenges in circular bioeconomy, renewable energy, and resource management. This innovative approach supports decision-making for sustainable development and enhances the environmental performance of industrial systems.
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AI-enabled Green Economy
This research investigates the integration of digitalization, AI, and data science to drive a just transition to a low-carbon, resource-efficient, and socially inclusive green economy. By analyzing the socio-environmental-economic impacts of converting sustainable feedstocks and waste into bioproducts, this work aims to enhance circular bioeconomy practices, improve resource efficiency, and reduce ecological footprints in line with sustainable development goals.
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Data Analytics-Supported Green Supply Chain Management
This research project on Data Analytics-Supported Green Supply Chain Management leverages digitalisation, AI, data science, and analytics methods to optimise supply chains for sustainability. The project aims to reduce carbon footprints, enhance resource efficiency, and promote circular economy practices by integrating advanced data analytics with life cycle assessment (LCA) and systems thinking. The innovative approach targets key sustainability goals, making a significant impact on environmental performance and supply chain resilience.
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Techno-Economic Analysis and Life Cycle Analysis
This project focuses on advancing Techno-Economic Analysis (TEA) and Life Cycle Analysis (LCA) by leveraging digitalization, Artificial Intelligence (AI), data science, and analytics. It aims to optimize sustainable energy systems and circular economy processes, integrating environmental, economic, and social impacts. The project will develop innovative, data-driven models to enhance decision-making in bioeconomy, renewable energy, and waste valorization industries, contributing to a low-carbon, circular economy and sustainable development goals (SDGs).
Research impacts
Dr Anthony Halog is a global leader in circular economy and sustainable systems engineering, whose research drives real-world transformation across industries, governments, and communities. His work develops AI-enabled life cycle assessment and systems modelling tools to reduce emissions, valorise waste, and optimise green hydrogen and bioeconomy supply chains—key enablers of net-zero transitions.
Through collaborations with the OECD, DAAD, NREL, and CSIRO, Dr Halog’s research has shaped environmental policies and supported industry shifts toward sustainable production. He has advised on integrating circularity into agri-food systems, reducing environmental injustice in hydrogen development, and enabling just transitions in resource-intensive economies.
At UQ, he leads interdisciplinary research that empowers students and early-career researchers, aligns with the Queensland Commitment, and fosters inclusive, ethical innovation. His projects embody the University’s values by addressing UNSDGs, especially affordable clean energy, responsible consumption, and climate action.
Key outcomes include:
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Over 130 publications impacting practice and policy.
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Training of next-generation sustainability leaders.
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Development of frameworks adopted in Asia-Pacific circular initiatives.
Dr Halog’s mission is to co-create scalable, equitable sustainability solutions that make a measurable difference to society, the economy, and the environment—locally and globally.
Works
Search Professor Anthony Halog’s works on UQ eSpace
2019
Journal Article
The impacts of emission reduction targets in Indonesia electricity systems
Irsyad, Muhammad Indra al, Halog, Anthony, Nepal, Rabindra and Koesrindartoto, Deddy P. (2019). The impacts of emission reduction targets in Indonesia electricity systems. Indonesian Journal of Energy, 2 (2), 118-130. doi: 10.33116/ije.v2i2.42
2019
Journal Article
Enhancing the adaptive capacity for urban sustainability: a bottom-up approach to understanding the urban social system in China
Li, Ying, Beeton, Robert J. S., Sigler, Thomas and Halog, Anthony (2019). Enhancing the adaptive capacity for urban sustainability: a bottom-up approach to understanding the urban social system in China. Journal of Environmental Management, 235, 51-61. doi: 10.1016/j.jenvman.2019.01.044
2019
Journal Article
Estimating the impacts of financing support policies towards photovoltaic market in Indonesia: a social-energy-economy-environment model simulation
Al Irsyad, Muhammad Indra, Halog, Anthony and Nepal, Rabindra (2019). Estimating the impacts of financing support policies towards photovoltaic market in Indonesia: a social-energy-economy-environment model simulation. Journal of Environmental Management, 230, 464-473. doi: 10.1016/j.jenvman.2018.09.069
2019
Conference Publication
Smart grid technology for energy conservation in street lights: lesson learnt from six years' operation in Indonesia
Al Irsyad, Muhammad Indra, Halog, Anthony and Nepal, Rabindra (2019). Smart grid technology for energy conservation in street lights: lesson learnt from six years' operation in Indonesia. International Conference on Technologies and Policies in Electric Power & Energy, Yogyakarta, Indonesia, 21-22 October 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IEEECONF48524.2019.9102608
2019
Book Chapter
Tools for circular economy: review and some potential applications for the Philippine textile industry
Balanay, Raquel and Halog, Anthony (2019). Tools for circular economy: review and some potential applications for the Philippine textile industry. Circular economy in textiles and apparel: processing, manufacturing, and design. (pp. 49-75) edited by Subramanian Senthilkannan Muthu. Duxford, United Kingdom: Woodhead Publishing. doi: 10.1016/B978-0-08-102630-4.00003-0
2018
Journal Article
Exploring drivers of sectoral electricity demand in Indonesia
Al Irsyad, Muhammad, Nepal, Rabindra and Halog, Anthony (2018). Exploring drivers of sectoral electricity demand in Indonesia. Energy Sources, Part B: Economics, Planning and Policy, 13 (9-10), 383-391. doi: 10.1080/15567249.2018.1538271
2018
Journal Article
The cost of abatement options to reduce carbon emissions from Australian international flights
Yin, Kwong-sang, Ward, Adrian, Dargusch, Paul and Halog, Anthony (2018). The cost of abatement options to reduce carbon emissions from Australian international flights. International Journal of Sustainable Transportation, 12 (3), 165-178. doi: 10.1080/15568318.2017.1341575
2018
Journal Article
GHG emission reduction in energy sector and its abatement cost: case study of five provinces in Mekong delta region, Vietnam
Luu, Quyen Le, Nguyen, Nam Hoai, Halog, Anthony and Bui, Huyen Van (2018). GHG emission reduction in energy sector and its abatement cost: case study of five provinces in Mekong delta region, Vietnam. International Journal of Green Energy, 15 (12), 715-723. doi: 10.1080/15435075.2018.1525556
2017
Journal Article
Selecting tools for renewable energy analysis in developing countries: An expanded review
Indra Al Irsyad, M., Halog, Anthony Basco, Nepal, Rabindra and Koesrindartoto, Deddy P. (2017). Selecting tools for renewable energy analysis in developing countries: An expanded review. Frontiers in Energy Research, 5 (DEC) 34, 1-13. doi: 10.3389/fenrg.2017.00034
2017
Journal Article
Factor analysis-based studies on Construction and Demolition waste minimization strategies in Malaysia
Esa, M. R., Halog, A. and Rigamonti, L. (2017). Factor analysis-based studies on Construction and Demolition waste minimization strategies in Malaysia. Waste Management, 64, I-I. doi: 10.1016/S0956-053X(17)30355-0
2017
Journal Article
Systems thinking for life cycle sustainability assessment: a review of recent developments, applications, and future perspectives
Onat, Nuri Cihat, Kucukvar, Murat, Halog, Anthony and Cloutier, Scott (2017). Systems thinking for life cycle sustainability assessment: a review of recent developments, applications, and future perspectives. Sustainability, 9 (5) 706, 706. doi: 10.3390/su9050706
2017
Journal Article
Enhancing value chains by applying industrial symbiosis concept to the Rubber City in Kedah, Malaysia
Sharib, Shabinah and Halog, Anthony (2017). Enhancing value chains by applying industrial symbiosis concept to the Rubber City in Kedah, Malaysia. Journal of Cleaner Production, 141, 1095-1108. doi: 10.1016/j.jclepro.2016.09.089
2017
Journal Article
Strategies for minimizing construction and demolition wastes in Malaysia
Esa, Mohd Reza, Halog, Anthony and Rigamonti, Lucia (2017). Strategies for minimizing construction and demolition wastes in Malaysia. Resources, Conservation and Recycling, 120, 219-229. doi: 10.1016/j.resconrec.2016.12.014
2017
Book Chapter
Moving towards a circular economy in solid waste management: concepts and practices
Dumlao-Tan, Maria Isabel and Halog, Anthony (2017). Moving towards a circular economy in solid waste management: concepts and practices. Advances in Solid and Hazardous Waste Management. (pp. 29-48) edited by Suda Goel. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-57076-1_2
2017
Book Chapter
Science based modelling for supporting integrated coastal zone management
Santoso, Purwono Budi and Halog, Anthony (2017). Science based modelling for supporting integrated coastal zone management. Environmental modeling with stakeholders: theory, methods and applications. (pp. 307-325) edited by Steven Gray, Michael Paolisso, Rebecca Jordan and Stefan Gray. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-25053-3_15
2016
Journal Article
How sustainable is disaster resilience? An overview of sustainable construction approach in post-disaster housing reconstruction
Ismail, Farrah Zuhaira, Halog, Anthony and Smith, Carl (2016). How sustainable is disaster resilience? An overview of sustainable construction approach in post-disaster housing reconstruction. International Journal of Disaster Resilience in the Built Environment, 8 (3), 555-572. doi: 10.1108/IJDRBE-07-2016-0028
2016
Journal Article
Evaluating urban sustainability potential based on material flow analysis of inputs and outputs: A case study in Jinchang City, China
Li, Ying, Beeton, R. J. S., Halog, Anthony and Sigler, Thomas (2016). Evaluating urban sustainability potential based on material flow analysis of inputs and outputs: A case study in Jinchang City, China. Resources, Conservation and Recycling, 110, 87-98. doi: 10.1016/j.resconrec.2016.03.023
2016
Journal Article
Mapping agriculture's impact by combining farm management handbooks, life-cycle assessment and search engine science
Navarro, Javier, Bryan, Brett A., Marinoni, Oswald, Eady, Sandra and Halog, Anthony (2016). Mapping agriculture's impact by combining farm management handbooks, life-cycle assessment and search engine science. Environmental Modelling and Software, 80, 54-65. doi: 10.1016/j.envsoft.2016.02.020
2016
Journal Article
Study of the abatement options available to reduce carbon emissions from Australian international flights
Yin, Kwong-sang, Dargusch, Paul and Halog, Anthony (2016). Study of the abatement options available to reduce carbon emissions from Australian international flights. International Journal of Sustainable Transportation, 10 (10), 935-946. doi: 10.1080/15568318.2016.1190882
2016
Book Chapter
Life cycle sustainability assessment: a holistic evaluation of social, economic, and environmental impacts
Luu, L. Q. and Halog, A. (2016). Life cycle sustainability assessment: a holistic evaluation of social, economic, and environmental impacts. Sustainability in the design, synthesis and analysis of chemical engineering processes. (pp. 327-352) edited by Gerardo Ruiz-Mercado and Heriberto Cabezas. Kidlington, Oxford, United Kingdom: Butterworth-Heinemann (Elsevier). doi: 10.1016/B978-0-12-802032-6.00014-1
Funding
Past funding
Supervision
Availability
- Dr Anthony Halog is:
- Available for supervision
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Available projects
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Dynamic System Modelling of Relationships between Environmental Sustainability, Food and Health Issues
This project aims to develop a cutting-edge computational model to explore the complex interrelationships between sustainability, climate change, food systems, dietary choices, and human health. Utilizing system dynamics and agent-based modeling (ABM), alongside AI, data science, and digitalization, the project will enable scenario analysis and policy formulation. The focus is on creating sustainable solutions, with an emphasis on developing expertise in modeling, data management, and innovative analytics for dynamic system analysis.
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Life Cycle Sustainability Analysis of Deployment of Renewable Energy technologies
This project critically evaluates the environmental and socio-economic impacts of large-scale renewable energy deployment, focusing on green hydrogen, hydro and bioenergy. Utilizing advanced life cycle assessment (LCA), system dynamics, and data science, it identifies key impact "hot spots" across the energy lifecycle. The project aims to develop strategic frameworks for sustainable renewable energy adoption, leveraging digitalization, AI, and analytics to optimize resource efficiency and minimize trade-offs in renewable energy systems.
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Systems Modelling of Linked Circular Economies
This project innovatively integrates System Dynamics Modelling (SDM) to analyze the urban food-energy-water nexus, aiming to minimize waste by explicitly linking circular economies. By leveraging digitalization, AI, and data science, the project visualizes resource pathways, identifies inefficiencies, and proposes sustainable solutions. This approach enhances urban resource management, reduces waste, and addresses critical sustainability challenges, making it highly relevant to experts in circular economy and sustainable urban development.
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Circular Economy and Resource Governance: Transition to Circular Agriculture and Bioeconomy in Australia
This research project explores the transition to circular agriculture and bioeconomy in Australia, focusing on sustainable phosphate utilization for fertilizer production. By integrating life cycle and systems engineering approaches, the project aims to optimize resource management, reduce environmental impacts, and support sustainable development. The research aligns with Australia's national priorities, contributing to innovative strategies for environmental conservation, waste management, and sustainable agricultural practices.
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Integrated Assessment Modelling
This innovative research project integrates Industrial Ecology methods, including Life Cycle Assessment (LCA), Material Flow Analysis (MFA), and Input-Output Analysis (IOA), with Integrated Assessment Modelling (IAM) to explore low-carbon transition pathways. Utilizing the open-source MESSAGEix framework, the project will assess climate change mitigation and circular economy impacts in energy, transport, and materials sectors. Leveraging AI, digitalization, and data science, this framework aims to guide sustainable energy transitions and circular economy strategies.
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Material Flow Accounting and Input-output Analysis for Reducing Energy Demand
This research project aims to reduce energy demand by transforming material and product consumption patterns across the supply chain. By integrating a hybrid model combining monetary-based input-output, physical, and energy data, the project will analyze historical consumption drivers over 20 years. Utilizing digitalization, AI, and data science, the project will inform sustainable consumption and production policies, contributing to climate action and enhancing resource efficiency across Australia's economy.
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Dynamic System Modelling and Analysis for Pursuing Sustainable Bioeconomy
This project aims to develop a cutting-edge, spatially and temporally explicit systems model for sustainable aviation fuel production in Australia using bioenergy feedstocks such as microalgae, pongamia pinnata, and sugarcane. By integrating digitalization, AI, and data science, the model will assess carbon and water footprints, human health impacts, and economic viability. The project will address uncertainties and optimize bioenergy pathways, contributing to Australia's low-carbon energy future.
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Socio-Economic and Ethical Implications of Scaling Up Green Hydrogen Production in Australia
This research explores the socio-economic and ethical challenges of scaling up green hydrogen production in Australia, crucial for achieving net-zero emissions. By analyzing current technologies, environmental impacts, and public perceptions, the study aims to develop strategies for equitable and sustainable hydrogen adoption. It integrates quantitative and qualitative methods to assess technical viability, justice issues, and stakeholder engagement, providing insights to guide policy development and promote a socially just energy transition.
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Digitalisation-Enabled Circular Bioeconomy for Global Transformation
This project aims to develop a digitalisation-enabled circular bioeconomy framework, focusing on the integration of advanced digital technologies with circular bioeconomy principles. The research will explore how digital tools such as AI and blockchain can enhance the sustainability of bioeconomic practices, particularly in agricultural value chains. This project will address challenges in environmental valuation, public acceptance of innovative technologies, and governance of sustainable value chains. The outcomes will contribute to policy recommendations and innovative models for the circular bioeconomy, supporting the global sustainability and digitalisation goals.
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Green Hydrogen Circular Economy Platform: From Agricultural Waste to Fuel
This project investigates the circular production of green hydrogen from agricultural and food industry residues using AI-optimized bio-electrolysis and catalytic reforming. Applying life cycle sustainability assessment and systems thinking, the project will model resource flows, emissions, and socio-economic impacts through digital twins and causal loop diagrams. In collaboration with key stakeholders, the research supports regional bioeconomy development and demonstrates pathways to low-carbon, renewable fuels. It contributes to green hydrogen innovation while ensuring community acceptance, regulatory alignment, and techno-economic viability for upscaling circular energy systems in rural Australia.
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Integration of Multi Agent Systems (MAS) and LCA for Analysing Australian Agri-food Sector
This project aims to develop a practical and comprehensive methodology for the integration of Multi Agent Systems (MAS) and life cycle assessment (LCA). In order to identify and characterize the Australian agro-system, this project will develop a prototype computational model to simulate Australian agricultural sector. Preferably, applicant has background in computer science or applied mathematics with experience in agent-based systems as well as strong interest in computation, applied mathematics, optimization and scientific programming. Successful applicant will develop skills in modelling, analysis, data management, scenario and policy formulation and the development of sustainable solutions.
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Modelling Urban Metabolism of Cities
This research project aims to develop a holistic multi-agent-based framework to model complex urban systems like Brisbane and assess their sustainability. Leveraging digitalization, AI, data science, and analytics, the project will create a roadmap for sustainable urban development. Through comprehensive literature review, survey development, and statistical analysis, it will provide innovative solutions for urban planners and policymakers to address resource pressure, ecosystem degradation, and sustainable city growth. Keywords: sustainable urban development, multi-agent systems, AI, digitalization, urban sustainability, data science.
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AI-Enabled Circularity for Critical Mineral and Battery Value Chains in Queensland
This project aims to develop an AI-driven digital twin platform to enhance circularity across Queensland’s critical mineral and battery manufacturing value chains. By integrating life cycle assessment, material flow analysis, and predictive analytics, the platform will identify opportunities to reduce waste, recover resources, and improve ESG performance. In collaboration with key stakeholders, the project supports technology translation and aligns with Queensland’s battery strategy. It advances scalable, low-emission solutions for materials processing and recycling while strengthening regional innovation ecosystems and policy frameworks to transition towards a decarbonised and circular economy.
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Net Zero Agro-Industrial Clusters: Digital Infrastructure for Just Transition
This project will design and pilot digital infrastructure to support net-zero agro-industrial clusters in regional and remote areas, integrating renewable energy, green hydrogen, and circular bioeconomy practices. Leveraging IoT, blockchain, and AI, the project will develop real-time emissions and ESG dashboards to guide decision-makers in government and industry. Co-designed with communities and aligned with Queensland’s decarbonisation plans, the research explores policy innovation, social equity, and investment readiness. It offers replicable models for place-based transitions, linking technology, governance, and inclusivity to enable a just, digitally enabled pathway to Australia’s net-zero future.
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Transformative Approaches to Sustainable Medicines Manufacturing Using AI-Driven Circular Bioeconomy
This research project aims to revolutionize sustainable medicine manufacturing by integrating Artificial Intelligence (AI), digitalisation, data analytics, and machine learning to pursue a net zero, circular bioeconomy. The project will develop and implement innovative AI-driven models to optimize manufacturing processes, reduce waste, and enhance resource efficiency. Digital twins and advanced data analytics will be employed to monitor and improve environmental performance in real time. By aligning with circular economy principles, the project seeks to minimize environmental impact while maintaining economic and social sustainability. The outcomes will provide a scalable framework for the pharmaceutical industry to transition towards sustainable, low-carbon manufacturing.
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Pursuing Circular Agriculture and Bioeconomy for Sustainable Industrial Development
This research project aims to transform agri-food systems from linear production to a circular economy by developing a comprehensive database and applying advanced life cycle and systems-based methods. The project will assess biodiversity, land use, water, and phosphorus impacts across selected food sub-sectors. Leveraging digitalization, AI, and data analytics, it will propose circular economy models for sustainable consumption and production, ensuring resilience and environmental efficiency in Australian agriculture.
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Agent-Based Modelling of Linked Circular Economies
This project explores innovative waste reduction in urban food-energy-water (FEW) nexus by integrating circular economies through Agent-Based Modeling (ABM). By simulating stakeholder decision-making, the project analyzes resource fluxes as emergent properties, identifying synergies, feedbacks, and thresholds within the FEW nexus. Leveraging digitalization, AI, and data science, the project aims to optimize urban resource management, enhancing sustainability by reducing inefficiencies and minimizing waste across interconnected systems.
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Stocks and Flows of Metals and Mineral Resources: Quantifying Environmental Impacts and Risks
This research project explores the metal and mineral resource needs of Japanese and Korean industries, with a focus on rare earth metals and other resources supplied by Australia's mining sector. It will develop a comprehensive database to quantify resource usage and propose circular economy models for Queensland’s mining industry, leveraging digitalization, AI, and systems thinking. The project aims to align resource extraction with ecological limits while meeting international demands sustainably.
Supervision history
Current supervision
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Doctor Philosophy
The role of minimalist, zero waste and frugal lifestyles in food waste reduction and prevention
Principal Advisor
Other advisors: Dr Rajendra Adhikari
Completed supervision
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2022
Doctor Philosophy
Enhancing the sustainability of food production: A methodological framework to assess and improve the sustainability of the Australian food system
Principal Advisor
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2020
Master Philosophy
Towards better circular economy and life cycle assessment through systems thinking and examining the interrelationships among sustainability, food systems and diet
Principal Advisor
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2019
Doctor Philosophy
Strengthening Clean Energy Policy to Decarbonize Indonesia's Electricity System: A Hybrid Energy Modelling & Analysis
Principal Advisor
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2019
Doctor Philosophy
How Sustainable Is Disaster Resilience? Integrating Systems Thinking Approach towards Achieving Sustainable Post-Disaster Housing Reconstruction
Principal Advisor
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2018
Doctor Philosophy
Moving towards Sustainable Construction in Malaysia: A Holistic Model for Construction and Demolition (C&D) Waste Management
Principal Advisor
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2017
Doctor Philosophy
Measuring the environmental efficiency of food products: New knowledge for the design of Sustainable Diets
Principal Advisor
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2020
Doctor Philosophy
Environmental implications of meeting future demand for sugarcane-based ethanol in Brazil.
Associate Advisor
Other advisors: Professor James Watson
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2017
Doctor Philosophy
A study of carbon dioxide emissions reduction opportunities for airlines on Australian international routes
Associate Advisor
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2017
Doctor Philosophy
Enhancing the Understanding of Urban Systems for Sustainability Transition: A Study of Urban Environmental Management in the Natural Resource-Based Industrial City of Jinchang, China
Associate Advisor
Other advisors: Dr Thomas Sigler, Dr Bob Beeton
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2016
Doctor Philosophy
Building a Conceptual Model to Enhance Environmental Adaptive Capacity in Small and Medium Sized Enterprises: A Case Study in Vietnam'sTextile and Garment Industry
Associate Advisor
Other advisors: Dr Bob Beeton
Media
Enquiries
Contact Dr Anthony Halog directly for media enquiries about:
- Bioeconomy
- Carbon Footprint
- Carbon Neutral
- Circular Design
- Circular Economy
- Clean Energy and Hydrogen
- Climate Change
- Decarbonization
- Energy Efficiency
- Environmental Impact
- Environmental Policy
- ESG
- Green Economy
- Green Hydrogen
- Green Manufacturing
- Green Technology
- Industrial Ecology
- Life Cycle Assessment
- Low Carbon Economy
- Net Zero Emission
- Renewable Energy
- Resource Efficiency
- Sustainability
- Sustainable Agriculture
- Sustainable and Circular Innovation
- Sustainable Development
- Sustainable Supply Chain
- Sustinable Business
- Waste Management
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