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Dr Anthony Halog
Dr

Anthony Halog

Email: 
Phone: 
+61 7 336 56141

Overview

Background

Dr. Anthony Halog: A Pioneer in Sustainable Systems and Circular Economy

Dr. Anthony Halog is a leading authority in sustainable systems engineering and circular economy, with over 22 years of post-PhD experience in academia and research. His work focuses on integrating life cycle assessment (LCA), systems thinking, and industrial ecology to advance global sustainability efforts. Dr. Halog has successfully led numerous research projects in industrial ecology and sustainable supply chain management, contributing significantly to the United Nations Sustainable Development Goals (UNSDGs) and Planetary Boundaries frameworks.

His prolific career includes over 125 publications that have been widely cited and referenced in policy documents by international bodies such as the United Nations and the European Union. With a strong commitment to mentoring, Dr. Halog has guided numerous PhD candidates and postdoctoral researchers, fostering the next generation of sustainability experts. Since completing his PhD, he has examined numerous theses from various universities in Australia, North America, Africa, and Asia. His experience also extends to reviewing several grant proposals for prestigious funding bodies, including the National Science Foundation in the USA and European funding schemes.

Dr. Anthony Halog has received numerous fellowships and awards throughout his career. Notably, he was awarded fellowships from prestigious institutions such as the OECD, DAAD, and the Japan Society for the Promotion of Science (JSPS). He has held visiting fellowships across the globe, including in the UK, Germany, Japan, and Saudi Arabia, focusing on areas like Circular Economy, Green Hydrogen Policy, and Life Cycle Assessment. Dr. Halog's accolades also include early career fellowships from NSERC (Canada) and JSPS, along with several international research grants and academic scholarships, reflecting his global recognition in sustainability science and engineering.

Key areas of expertise include circular economy, bioeconomy, LCA, sustainable supply chain management, and the application of operations research and optimization in engineering sustainable systems. Dr. Halog’s interdisciplinary approach and international collaborations have positioned him as a thought leader in transitioning to a low-carbon, circular economy.

Availability

Dr Anthony Halog is:
Available for supervision
Media expert

Qualifications

  • Bachelor of Science, University of Mindanao
  • Masters (Coursework) of Engineering, Asian Institute of Technology Thailand
  • 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 has made a significant impact beyond academia, driving sustainability in various sectors and influencing policy at global levels. His work on life cycle assessment (LCA) and circular economy strategies has directly contributed to reducing environmental footprints in industries such as energy, waste management, and bioeconomy.

One of the most notable outcomes of Dr. Halog’s research is the application of LCA to optimize waste management systems, particularly in transitioning to a circular economy. His studies have been instrumental in shaping waste-to-energy policies in Indonesia and bioenergy strategies across the ASEAN region. These contributions have led to the development of sustainable practices that reduce greenhouse gas emissions and enhance resource efficiency.

Dr. Halog’s research has also been pivotal in advancing the understanding of sustainable supply chains, helping businesses minimize their environmental impact while maintaining economic viability. His interdisciplinary approach, combining systems thinking with practical applications, has empowered industries to adopt more sustainable practices, ultimately benefiting society by fostering a healthier environment and promoting economic resilience.

Through his extensive publications and collaborations, Dr. Halog’s work continues to influence sustainability policies and practices globally, making a lasting impact on both the economy and the environment.

Works

Search Professor Anthony Halog’s works on UQ eSpace

117 works between 2001 and 2024

61 - 80 of 117 works

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

Tools for circular economy: review and some potential applications for the Philippine textile industry

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

The cost of abatement options to reduce carbon emissions from Australian international flights

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

GHG emission reduction in energy sector and its abatement cost: case study of five provinces in Mekong delta region, Vietnam

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

Exploring drivers of sectoral electricity demand in Indonesia

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

Selecting tools for renewable energy analysis in developing countries: An expanded review

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

Factor analysis-based studies on Construction and Demolition waste minimization strategies in Malaysia

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

Systems thinking for life cycle sustainability assessment: a review of recent developments, applications, and future perspectives

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

Enhancing value chains by applying industrial symbiosis concept to the Rubber City in Kedah, Malaysia

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

Strategies for minimizing construction and demolition wastes in Malaysia

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

Science based modelling for supporting integrated coastal zone management

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

Moving towards a circular economy in solid waste management: concepts and practices

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

How sustainable is disaster resilience? An overview of sustainable construction approach in post-disaster housing reconstruction

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

Evaluating urban sustainability potential based on material flow analysis of inputs and outputs: A case study in Jinchang City, China

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

Mapping agriculture's impact by combining farm management handbooks, life-cycle assessment and search engine science

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

Study of the abatement options available to reduce carbon emissions from Australian international flights

2016

Conference Publication

Value Chain Analysis of Palm Oil Biodiesel through a Hybrid (ISO-Eco) Life Cycle Assessment Approach

Manik, Yosef and Halog, Anthony (2016). Value Chain Analysis of Palm Oil Biodiesel through a Hybrid (ISO-Eco) Life Cycle Assessment Approach. Conference on Science and Engineering for Instrumentation, Environment and Renewable Energy, Pekanbaru, Indonesia, 28-29 September 2015. Dubai, United Arab Emirates: KnE Engineering. doi: 10.18502/keg.v1i1.514

Value Chain Analysis of Palm Oil Biodiesel through a Hybrid (ISO-Eco) Life Cycle Assessment Approach

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

Life cycle sustainability assessment: a holistic evaluation of social, economic, and environmental impacts

2016

Book Chapter

Teaching education for sustainable development at university level: a case study from the Philippines

Balanay, Raquel M. and Halog, Anthony (2016). Teaching education for sustainable development at university level: a case study from the Philippines. Teaching education for sustainable development at university level, world sustainability series. (pp. 163-174) edited by Walter Leal Filho and Paul Pace. Switzerland: Springer International Publishing Switzerland. doi: 10.1007/978-3-319-32928-4_11

Teaching education for sustainable development at university level: a case study from the Philippines

2016

Conference Publication

Rice husk based bioelectricity vs. coal-fired electricity: life cycle sustainability assessment case study in Vietnam

Luu, Le Quyen and Halog, Anthony (2016). Rice husk based bioelectricity vs. coal-fired electricity: life cycle sustainability assessment case study in Vietnam. 13th Global Conference on Sustainable Manufacturing, GCSM 2015, Binh Dong New City, Vietnam, 16 - 18 September 2015. Amsterdam, Netherlands: Elsevier BV. doi: 10.1016/j.procir.2016.01.058

Rice husk based bioelectricity vs. coal-fired electricity: life cycle sustainability assessment case study in Vietnam

2016

Journal Article

Charting policy directions for mining’s sustainability with circular economy

Balanay, Raquel and Halog, Anthony (2016). Charting policy directions for mining’s sustainability with circular economy. Recycling, 1 (2), 219-231. doi: 10.3390/recycling1020219

Charting policy directions for mining’s sustainability with circular economy

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

Before you email them, read our advice on how to contact a supervisor.

Available projects

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

Supervision history

Current supervision

  • Doctor Philosophy

    Life Cycle Assessment: energy efficiency to mitigate climate change in Indonesia aquaculture industry

    Principal Advisor

    Other advisors: Dr Zannie Langford

  • Doctor Philosophy

    Enhancing Sustainable Waste Management in Agri-Food Production

    Principal Advisor

    Other advisors: Dr Rajendra Adhikari

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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