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Dr Anthony Halog
Dr

Anthony Halog

Email: 
Phone: 
+61 7 336 56141

Overview

Background

Dr Anthony Halog: Expert in Circular Economy, Life Cycle Thinking, and Sustainable Systems

Dr. Anthony B. Halog is a professor at the University of Queensland specialising in circular economy, sustainability engineering, industrial ecology, and life cycle assessment (LCA/LCSA). His current work focuses on designing low-carbon, net-zero, and resource-efficient systems to address climate change, waste reduction, and sustainable development.

Dr. Halog works across energy, materials, food, waste, and policy systems, applying systems thinking, life cycle sustainability assessment, digital twins, and artificial intelligence for sustainability. His research helps governments, industries, and communities make evidence-based decisions that reduce emissions, improve resource efficiency, and avoid unintended environmental impacts.

A core focus of his work is transforming linear value chains into circular value chains, supporting green hydrogen, bioenergy, circular bioeconomy, agricultural waste valorisation, waste-to-energy, and sustainable materials. These solutions contribute to decarbonisation, climate resilience, sustainable supply chains, and the green economy.

Key areas of expertise

  • Circular economy and industrial ecology

  • Life cycle assessment and sustainability metrics

  • Green hydrogen, bioenergy, and clean energy transitions

  • Sustainable waste management and circular bioeconomy

  • Systems modelling, AI-enabled tools, and sustainability policy

Dr. Halog collaborates with policymakers, industry partners, SMEs, and Indigenous communities in Australia and internationally to deliver practical climate solutions and support the transition to decarbonised circular economies.

Availability

Dr Anthony Halog is:
Available for supervision
Media expert

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

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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’s research creates measurable impact by supporting governments, industries, and communities to transition from linear, waste-intensive systems to circular, low-carbon, and resource-efficient economies. His work contributes directly to environmental protection, economic resilience, and evidence-based policy and decision-making in Australia and internationally.

His research addresses major societal challenges including climate change, resource depletion, waste generation, and energy transition. By applying life cycle sustainability assessment (LCSA), industrial ecology, systems modelling, and AI-enabled analytical tools, Dr. Halog helps decision-makers understand complex trade-offs and identify solutions that reduce emissions, minimise waste, and deliver long-term sustainability benefits.

A key strength of his work is translating complex science into practical guidance. He collaborates closely with policymakers, industry leaders, SMEs, and communities to design circular economy strategies that are technically robust, economically viable, and socially inclusive. His research supports the redesign of value chains to recover materials, improve energy efficiency, and create value-added products from waste.

Dr. Halog’s work has informed policy development and implementation in areas such as waste-to-energy, circular economy frameworks, renewable energy systems, and decarbonisation pathways. His research contributes to national and regional sustainability strategies, supports alignment with the United Nations Sustainable Development Goals, and strengthens the evidence base used by public agencies and international organisations.

Industry impact is achieved through direct engagement with companies and practitioners. His research helps organisations reduce material and energy costs, lower greenhouse gas emissions, and improve environmental performance while remaining competitive. He has contributed to projects on green hydrogen, bioenergy, sustainable aviation fuels, circular minerals, agricultural waste valorisation, and resilient food and energy systems.

Environmental benefits from his research include demonstrated pathways to reduced landfill dependence, lower life cycle emissions, and improved resource productivity. By applying life cycle thinking, his work avoids problem-shifting and supports more responsible management of materials, energy, and natural resources.

Dr. Halog’s impact also extends to capacity building and education. He mentors researchers and practitioners, delivers sustainability training internationally, and supports Indigenous communities and local stakeholders in applying systems-based sustainability tools to their own contexts. His work improves understanding of sustainability challenges through clear communication and accessible frameworks.

Evidence of impact includes more than 130 peer-reviewed publications, sustained collaborations with government and industry partners, competitive international fellowships, and repeated invitations to serve as an expert advisor, reviewer, and keynote speaker. Collectively, his research delivers practical solutions that help societies move toward decarbonised circular economies, stronger community resilience, and long-term environmental and socio-economic well-being.

Works

Search Professor Anthony Halog’s works on UQ eSpace

124 works between 2001 and 2025

101 - 120 of 124 works

2014

Book Chapter

Developing e-learning materials for teaching industrial ecology and environmental sustainability

Halog, Anthony and Dishman, Gary (2014). Developing e-learning materials for teaching industrial ecology and environmental sustainability. E-learning and education for sustainability. (pp. 83-104) edited by Ulisses Miranda Azeiteiro, Walter Leal Filho and Sandra Caeiro. Frankfurt Am Main, Germany: Peter Lang. doi: 10.3726/978-3-653-02460-9

Developing e-learning materials for teaching industrial ecology and environmental sustainability

2013

Conference Publication

Production of a map of greenhouse gas emissions and energy use from Australian agriculture

Navarro, J., Bryan, B., Marinoni, O., Eady, S. and Halog, A. (2013). Production of a map of greenhouse gas emissions and energy use from Australian agriculture. 20th International Congress on Modelling and Simulation (MODSIM 2013), Adelaide, Australia, 1-6 December 2013. Canberra, Australia: Modelling and Simulation Society of Australia and New Zealand.

Production of a map of greenhouse gas emissions and energy use from Australian agriculture

2013

Other Outputs

5.2. The integrated partial market equilibrium and LCA modelling (PME-LCA)

Earles, J. Mason and Halog, Anthony (2013). 5.2. The integrated partial market equilibrium and LCA modelling (PME-LCA). Luxembourg, Belgium: European Commission.

5.2. The integrated partial market equilibrium and LCA modelling (PME-LCA)

2013

Conference Publication

Towards a circular economy: an application of input-output oriented approach to improve eco-efficiency of Australia's food industry

Pagotto, Murilo and Halog, Anthony (2013). Towards a circular economy: an application of input-output oriented approach to improve eco-efficiency of Australia's food industry. 12th Annual IAS-STS Conference, Graz, Austria, 6-7 May 2013. Graz, Austria: Institute for Advanced Studies on Science, Technology and Society (IAS-STS).

Towards a circular economy: an application of input-output oriented approach to improve eco-efficiency of Australia's food industry

2013

Book Chapter

Environmental assessment of a forest derived "Drop-in" biofuel

Halog, Anthony and Bortsie-Aryee, Nana Awuah (2013). Environmental assessment of a forest derived "Drop-in" biofuel. Biofuels - Economy, Environmental and Sustainability. (pp. 287-302) edited by Zhen Fang. Rijeka, Croatia: InTech. doi: 10.5772/50478

Environmental assessment of a forest derived "Drop-in" biofuel

2012

Conference Publication

Advancing computational modeling and analysis for assessing sustainability of large scale bioenergy production

Halog, Anthony and Bortsie-Aryee, Nana (2012). Advancing computational modeling and analysis for assessing sustainability of large scale bioenergy production. 2012 AIChE Spring Meeting and 8th Global Congress on Process Safety, 12AIChE, Houston, TX, United States, 1-5 April 2012. New York, NY, United States: AIChE.

Advancing computational modeling and analysis for assessing sustainability of large scale bioenergy production

2012

Conference Publication

Using system dynamics to support consequential life cycle analysis: the forest based "drop-in" biofuel supply chain example

Aryee, Nana Awuah Bortsie and Halog, Anthony (2012). Using system dynamics to support consequential life cycle analysis: the forest based "drop-in" biofuel supply chain example. 2012 AIChE Spring Meeting and 8th Global Congress on Process Safety, 12AIChE, Houston, TX, United States, 1-5 April 2012. New York, NY, United States: AIChE.

Using system dynamics to support consequential life cycle analysis: the forest based "drop-in" biofuel supply chain example

2012

Conference Publication

Application of agent-based modeling (ABM) of an integrated system modeling framework for designing a sustainable industrial park

Bichraoui, Najet and Halog, Anthony (2012). Application of agent-based modeling (ABM) of an integrated system modeling framework for designing a sustainable industrial park. 2012 AIChE Spring Meeting and 8th Global Congress on Process Safety, 12AIChE, Houston, TX, United States, 1-5 April 2012. New York, NY, United States: AIChE.

Application of agent-based modeling (ABM) of an integrated system modeling framework for designing a sustainable industrial park

2012

Conference Publication

Life cycle sustainability assessment of wood derived drop-in biofuels-case of the northeast forest based product industry

Bortsie-Aryee, Nana Awuah, Halog, Anthony and Wheeler, Clayton (2012). Life cycle sustainability assessment of wood derived drop-in biofuels-case of the northeast forest based product industry. IEEE International Symposium on Sustainable Systems and Technology (ISSST), Boston, United States, 16-18 May 2012. Piscataway, NJ, United States: IEEE. doi: 10.1109/ISSST.2012.6228026

Life cycle sustainability assessment of wood derived drop-in biofuels-case of the northeast forest based product industry

2012

Conference Publication

Agent-based Modelling Simulation for the Development of an Industrial Symbiosis - Preliminary Results

Bichraoui, N., Guillaume, B. and Halog, A. (2012). Agent-based Modelling Simulation for the Development of an Industrial Symbiosis - Preliminary Results. The 3rd International Conference on Sustainable Future for Human Security, Japan, Kyoto University, 3-5 November 2012. Amsterdam, The Netherlands: Elsevier BV. doi: 10.1016/j.proenv.2013.02.029

Agent-based Modelling Simulation for the Development of an Industrial Symbiosis - Preliminary Results

2011

Journal Article

Advancing integrated systems modelling framework for life cycle sustainability assessment

Halog, Anthony and Manik, Yosef (2011). Advancing integrated systems modelling framework for life cycle sustainability assessment. Sustainability, 3 (2), 469-499. doi: 10.3390/su3020469

Advancing integrated systems modelling framework for life cycle sustainability assessment

2010

Conference Publication

Comparative life cycle assessment of biofuel produced in two forest product biorefineries

Earles, Mason and Halog, Anthony (2010). Comparative life cycle assessment of biofuel produced in two forest product biorefineries.

Comparative life cycle assessment of biofuel produced in two forest product biorefineries

2009

Journal Article

Models for evaluating energy, environmental and sustainability performance of biofuels value chain

Halog, Anthony (2009). Models for evaluating energy, environmental and sustainability performance of biofuels value chain. International Journal of Global Energy Issues, 32 (1-2), 83-101. doi: 10.1504/ijgei.2009.027975

Models for evaluating energy, environmental and sustainability performance of biofuels value chain

2008

Journal Article

Developing a dynamic systems model for the sustainable development of the Canadian oil sands industry

Halog, Anthony and Chan, Albert (2008). Developing a dynamic systems model for the sustainable development of the Canadian oil sands industry. International Journal of Environmental Technology and Management, 8 (1), 3-22. doi: 10.1504/IJETM.2008.016295

Developing a dynamic systems model for the sustainable development of the Canadian oil sands industry

2006

Conference Publication

Toward sustainable production in the Canadian oil sands industry

Halog, Anthony and Chan, Albert (2006). Toward sustainable production in the Canadian oil sands industry. Katholieke Universiteit Leuven.

Toward sustainable production in the Canadian oil sands industry

2004

Journal Article

An approach to selection of sustainable product improvement alternatives with data uncertainty

Halog, Anthony (2004). An approach to selection of sustainable product improvement alternatives with data uncertainty. Journal of Sustainable Product Design, 4 (1-4), 3-19. doi: 10.1007/s10970-006-0002-y

An approach to selection of sustainable product improvement alternatives with data uncertainty

2003

Conference Publication

Development of an assessment methodology for waste gasification technology under stochastic data

Halog, Anthony, Sagisaka, Masayuki and Inaba, Atsushi (2003). Development of an assessment methodology for waste gasification technology under stochastic data.

Development of an assessment methodology for waste gasification technology under stochastic data

2003

Conference Publication

Assessment of waste gasification technology under data uncertainty

Halog, A, Sagisaka, M and Inaba, A (2003). Assessment of waste gasification technology under data uncertainty. 3rd International Symposium on Environmentally Conscious Design and Inverse Manufacturing (EcoDesign 03), Tokyo Japan, Dec 08-11, 2003. IEEE. doi: 10.1109/VETECF.2003.240405

Assessment of waste gasification technology under data uncertainty

2003

Conference Publication

Assessment of electric vehicle battery technologies using fuzzy linguistic and promethee-gaia multicriteria approaches

Halog, A, Sagisaka, M and Inaba, A (2003). Assessment of electric vehicle battery technologies using fuzzy linguistic and promethee-gaia multicriteria approaches. 1st International Conference on Energy and Environment (EnerEnv 2003), Changsha Peoples R China, Oct 11-14, 2003. SCIENCE PRESS.

Assessment of electric vehicle battery technologies using fuzzy linguistic and promethee-gaia multicriteria approaches

2003

Conference Publication

Assessment of electric vehicle battery technologies using fuzzy linguistic and AHP approaches

Halog, A., Sagisaka, M. and Inaba, A. (2003). Assessment of electric vehicle battery technologies using fuzzy linguistic and AHP approaches. 8th International Conference on Environmental Science and Technology, Lemnos Isl Greece, Sep 08-10, 2003. UNIV AEGEAN.

Assessment of electric vehicle battery technologies using fuzzy linguistic and AHP approaches

Funding

Past funding

  • 2016 - 2017
    Enhanced modelling capacity for the Industrial Ecology Virtual Laboratory (ARC LIEF project administered by the University of New South Wales)
    University of New South Wales
    Open grant
  • 2015
    UQ Travel Award 2015 - Dr Lucia Rigamonti
    UQ Travel Grants Scheme
    Open grant

Supervision

Availability

Dr Anthony Halog is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Available projects

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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

  • Doctor Philosophy

    The role of minimalist, zero waste and frugal lifestyles in food waste reduction and prevention

    Principal Advisor

    Other advisors: Dr Rajendra Adhikari

  • Doctor Philosophy

    INTEGRATING THE PENTA-HELIX MODEL AND MACHINE LEARNING FOR OPTIMIZING CLEANER PRODUCTION STRATEGIES IN SUSTAINABLE MEDICAL WASTE MANAGEMENT

    Principal Advisor

    Other advisors: Professor William Clarke

Completed supervision

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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