Mohamed Bey Zekkoub | Environmental Modelling | Young Researcher Award Published on 14/10/202514/10/2025 by Environmental Scientists Dr. Mohamed Bey Zekkoub | Environmental Modelling | Young Researcher Award Researcher | Swiss Federal Laboratories for Materials Science and Technology | Switzerland Dr. Mohamed Bey Zekkoub is a dedicated environmental scientist and water expert with extensive experience in water quality analysis, environmental risk assessment, and predictive modeling of complex environmental systems. His work bridges experimental research, numerical simulations, and machine learning approaches to understand and mitigate the impacts of chemical pollutants and plastic waste in aquatic ecosystems. He has contributed to major studies on industrial effluents, riverine pollution, and the fate of polymers in water systems, providing actionable insights for sustainable water management and ecological protection. Dr. Mohamed Bey Zekkoub has held research and consultancy roles in leading institutions, where he developed advanced numerical models, conducted ecological risk assessments, and guided mitigation strategies for environmental compliance. His expertise spans hydro informatics, chemistry, environmental modeling, and natural resource management, enabling him to support evidence-based policy development and sustainable practices. He has been recognized for his innovative contributions with prestigious awards and has presented his research at international conferences while publishing in top-tier journals. In addition to research, he has actively contributed to the development of environmental modeling tools, enhancing the accuracy of pollutant transport simulations. With a strong foundation in computational fluid dynamics, numerical modeling, and programming languages, Mohamed combines technical proficiency with a passion for addressing global environmental challenges, particularly in water security, pollution management, and the sustainable stewardship of natural resources. He continues to advance knowledge in environmental science through interdisciplinary collaboration, experimentation, and innovative modeling approaches to support a healthier and more resilient planet. His work has been cited once since 2020, with an h-index of 1, reflecting recognition of his contributions to the field. Profile: Google Scholar Featured Publications Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2025). Modeling solute transport in rivers: Analytical and numerical solutions. Environmental Modelling & Software, 106580. Bey-Zekkoub, M., Tassi, P., & Chhim, N. (2025). Assessing the impacts of sodium polyacrylate discharge into the Seine River: A numerical modeling approach. Journal of Contaminant Hydrology, 104740. Bey-Zekkoub, M., Tassi, P., Chhim, N., Bretaud, M., & Harnichard, A. (2024). Interaction between sodium polyacrylate and sediment transport in a simplified river reach configuration. Telemac User Conference TUC 2024. Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2024). Analytical and numerical solutions for one-dimensional solute transport in rivers: Advection, adsorption, degradation, and bed accumulation. Journal of Hydrology.
Dr. Mohamed Bey Zekkoub is a dedicated environmental scientist and water expert with extensive experience in water quality analysis, environmental risk assessment, and predictive modeling of complex environmental systems. His work bridges experimental research, numerical simulations, and machine learning approaches to understand and mitigate the impacts of chemical pollutants and plastic waste in aquatic ecosystems. He has contributed to major studies on industrial effluents, riverine pollution, and the fate of polymers in water systems, providing actionable insights for sustainable water management and ecological protection. Dr. Mohamed Bey Zekkoub has held research and consultancy roles in leading institutions, where he developed advanced numerical models, conducted ecological risk assessments, and guided mitigation strategies for environmental compliance. His expertise spans hydro informatics, chemistry, environmental modeling, and natural resource management, enabling him to support evidence-based policy development and sustainable practices. He has been recognized for his innovative contributions with prestigious awards and has presented his research at international conferences while publishing in top-tier journals. In addition to research, he has actively contributed to the development of environmental modeling tools, enhancing the accuracy of pollutant transport simulations. With a strong foundation in computational fluid dynamics, numerical modeling, and programming languages, Mohamed combines technical proficiency with a passion for addressing global environmental challenges, particularly in water security, pollution management, and the sustainable stewardship of natural resources. He continues to advance knowledge in environmental science through interdisciplinary collaboration, experimentation, and innovative modeling approaches to support a healthier and more resilient planet. His work has been cited once since 2020, with an h-index of 1, reflecting recognition of his contributions to the field. Profile: Google Scholar
Dr. Mohamed Bey Zekkoub is a dedicated environmental scientist and water expert with extensive experience in water quality analysis, environmental risk assessment, and predictive modeling of complex environmental systems. His work bridges experimental research, numerical simulations, and machine learning approaches to understand and mitigate the impacts of chemical pollutants and plastic waste in aquatic ecosystems. He has contributed to major studies on industrial effluents, riverine pollution, and the fate of polymers in water systems, providing actionable insights for sustainable water management and ecological protection. Dr. Mohamed Bey Zekkoub has held research and consultancy roles in leading institutions, where he developed advanced numerical models, conducted ecological risk assessments, and guided mitigation strategies for environmental compliance. His expertise spans hydro informatics, chemistry, environmental modeling, and natural resource management, enabling him to support evidence-based policy development and sustainable practices. He has been recognized for his innovative contributions with prestigious awards and has presented his research at international conferences while publishing in top-tier journals. In addition to research, he has actively contributed to the development of environmental modeling tools, enhancing the accuracy of pollutant transport simulations. With a strong foundation in computational fluid dynamics, numerical modeling, and programming languages, Mohamed combines technical proficiency with a passion for addressing global environmental challenges, particularly in water security, pollution management, and the sustainable stewardship of natural resources. He continues to advance knowledge in environmental science through interdisciplinary collaboration, experimentation, and innovative modeling approaches to support a healthier and more resilient planet. His work has been cited once since 2020, with an h-index of 1, reflecting recognition of his contributions to the field. Profile: Google Scholar
Dr. Mohamed Bey Zekkoub is a dedicated environmental scientist and water expert with extensive experience in water quality analysis, environmental risk assessment, and predictive modeling of complex environmental systems. His work bridges experimental research, numerical simulations, and machine learning approaches to understand and mitigate the impacts of chemical pollutants and plastic waste in aquatic ecosystems. He has contributed to major studies on industrial effluents, riverine pollution, and the fate of polymers in water systems, providing actionable insights for sustainable water management and ecological protection. Dr. Mohamed Bey Zekkoub has held research and consultancy roles in leading institutions, where he developed advanced numerical models, conducted ecological risk assessments, and guided mitigation strategies for environmental compliance. His expertise spans hydro informatics, chemistry, environmental modeling, and natural resource management, enabling him to support evidence-based policy development and sustainable practices. He has been recognized for his innovative contributions with prestigious awards and has presented his research at international conferences while publishing in top-tier journals. In addition to research, he has actively contributed to the development of environmental modeling tools, enhancing the accuracy of pollutant transport simulations. With a strong foundation in computational fluid dynamics, numerical modeling, and programming languages, Mohamed combines technical proficiency with a passion for addressing global environmental challenges, particularly in water security, pollution management, and the sustainable stewardship of natural resources. He continues to advance knowledge in environmental science through interdisciplinary collaboration, experimentation, and innovative modeling approaches to support a healthier and more resilient planet. His work has been cited once since 2020, with an h-index of 1, reflecting recognition of his contributions to the field. Profile: Google Scholar
Dr. Mohamed Bey Zekkoub is a dedicated environmental scientist and water expert with extensive experience in water quality analysis, environmental risk assessment, and predictive modeling of complex environmental systems. His work bridges experimental research, numerical simulations, and machine learning approaches to understand and mitigate the impacts of chemical pollutants and plastic waste in aquatic ecosystems. He has contributed to major studies on industrial effluents, riverine pollution, and the fate of polymers in water systems, providing actionable insights for sustainable water management and ecological protection. Dr. Mohamed Bey Zekkoub has held research and consultancy roles in leading institutions, where he developed advanced numerical models, conducted ecological risk assessments, and guided mitigation strategies for environmental compliance. His expertise spans hydro informatics, chemistry, environmental modeling, and natural resource management, enabling him to support evidence-based policy development and sustainable practices. He has been recognized for his innovative contributions with prestigious awards and has presented his research at international conferences while publishing in top-tier journals. In addition to research, he has actively contributed to the development of environmental modeling tools, enhancing the accuracy of pollutant transport simulations. With a strong foundation in computational fluid dynamics, numerical modeling, and programming languages, Mohamed combines technical proficiency with a passion for addressing global environmental challenges, particularly in water security, pollution management, and the sustainable stewardship of natural resources. He continues to advance knowledge in environmental science through interdisciplinary collaboration, experimentation, and innovative modeling approaches to support a healthier and more resilient planet. His work has been cited once since 2020, with an h-index of 1, reflecting recognition of his contributions to the field. Profile: Google Scholar
Dr. Mohamed Bey Zekkoub is a dedicated environmental scientist and water expert with extensive experience in water quality analysis, environmental risk assessment, and predictive modeling of complex environmental systems. His work bridges experimental research, numerical simulations, and machine learning approaches to understand and mitigate the impacts of chemical pollutants and plastic waste in aquatic ecosystems. He has contributed to major studies on industrial effluents, riverine pollution, and the fate of polymers in water systems, providing actionable insights for sustainable water management and ecological protection. Dr. Mohamed Bey Zekkoub has held research and consultancy roles in leading institutions, where he developed advanced numerical models, conducted ecological risk assessments, and guided mitigation strategies for environmental compliance. His expertise spans hydro informatics, chemistry, environmental modeling, and natural resource management, enabling him to support evidence-based policy development and sustainable practices. He has been recognized for his innovative contributions with prestigious awards and has presented his research at international conferences while publishing in top-tier journals. In addition to research, he has actively contributed to the development of environmental modeling tools, enhancing the accuracy of pollutant transport simulations. With a strong foundation in computational fluid dynamics, numerical modeling, and programming languages, Mohamed combines technical proficiency with a passion for addressing global environmental challenges, particularly in water security, pollution management, and the sustainable stewardship of natural resources. He continues to advance knowledge in environmental science through interdisciplinary collaboration, experimentation, and innovative modeling approaches to support a healthier and more resilient planet. His work has been cited once since 2020, with an h-index of 1, reflecting recognition of his contributions to the field. Profile: Google Scholar
Dr. Mohamed Bey Zekkoub is a dedicated environmental scientist and water expert with extensive experience in water quality analysis, environmental risk assessment, and predictive modeling of complex environmental systems. His work bridges experimental research, numerical simulations, and machine learning approaches to understand and mitigate the impacts of chemical pollutants and plastic waste in aquatic ecosystems. He has contributed to major studies on industrial effluents, riverine pollution, and the fate of polymers in water systems, providing actionable insights for sustainable water management and ecological protection. Dr. Mohamed Bey Zekkoub has held research and consultancy roles in leading institutions, where he developed advanced numerical models, conducted ecological risk assessments, and guided mitigation strategies for environmental compliance. His expertise spans hydro informatics, chemistry, environmental modeling, and natural resource management, enabling him to support evidence-based policy development and sustainable practices. He has been recognized for his innovative contributions with prestigious awards and has presented his research at international conferences while publishing in top-tier journals. In addition to research, he has actively contributed to the development of environmental modeling tools, enhancing the accuracy of pollutant transport simulations. With a strong foundation in computational fluid dynamics, numerical modeling, and programming languages, Mohamed combines technical proficiency with a passion for addressing global environmental challenges, particularly in water security, pollution management, and the sustainable stewardship of natural resources. He continues to advance knowledge in environmental science through interdisciplinary collaboration, experimentation, and innovative modeling approaches to support a healthier and more resilient planet. His work has been cited once since 2020, with an h-index of 1, reflecting recognition of his contributions to the field. Profile: Google Scholar
Dr. Mohamed Bey Zekkoub is a dedicated environmental scientist and water expert with extensive experience in water quality analysis, environmental risk assessment, and predictive modeling of complex environmental systems. His work bridges experimental research, numerical simulations, and machine learning approaches to understand and mitigate the impacts of chemical pollutants and plastic waste in aquatic ecosystems. He has contributed to major studies on industrial effluents, riverine pollution, and the fate of polymers in water systems, providing actionable insights for sustainable water management and ecological protection. Dr. Mohamed Bey Zekkoub has held research and consultancy roles in leading institutions, where he developed advanced numerical models, conducted ecological risk assessments, and guided mitigation strategies for environmental compliance. His expertise spans hydro informatics, chemistry, environmental modeling, and natural resource management, enabling him to support evidence-based policy development and sustainable practices. He has been recognized for his innovative contributions with prestigious awards and has presented his research at international conferences while publishing in top-tier journals. In addition to research, he has actively contributed to the development of environmental modeling tools, enhancing the accuracy of pollutant transport simulations. With a strong foundation in computational fluid dynamics, numerical modeling, and programming languages, Mohamed combines technical proficiency with a passion for addressing global environmental challenges, particularly in water security, pollution management, and the sustainable stewardship of natural resources. He continues to advance knowledge in environmental science through interdisciplinary collaboration, experimentation, and innovative modeling approaches to support a healthier and more resilient planet. His work has been cited once since 2020, with an h-index of 1, reflecting recognition of his contributions to the field. Profile: Google Scholar
Dr. Mohamed Bey Zekkoub is a dedicated environmental scientist and water expert with extensive experience in water quality analysis, environmental risk assessment, and predictive modeling of complex environmental systems. His work bridges experimental research, numerical simulations, and machine learning approaches to understand and mitigate the impacts of chemical pollutants and plastic waste in aquatic ecosystems. He has contributed to major studies on industrial effluents, riverine pollution, and the fate of polymers in water systems, providing actionable insights for sustainable water management and ecological protection. Dr. Mohamed Bey Zekkoub has held research and consultancy roles in leading institutions, where he developed advanced numerical models, conducted ecological risk assessments, and guided mitigation strategies for environmental compliance. His expertise spans hydro informatics, chemistry, environmental modeling, and natural resource management, enabling him to support evidence-based policy development and sustainable practices. He has been recognized for his innovative contributions with prestigious awards and has presented his research at international conferences while publishing in top-tier journals. In addition to research, he has actively contributed to the development of environmental modeling tools, enhancing the accuracy of pollutant transport simulations. With a strong foundation in computational fluid dynamics, numerical modeling, and programming languages, Mohamed combines technical proficiency with a passion for addressing global environmental challenges, particularly in water security, pollution management, and the sustainable stewardship of natural resources. He continues to advance knowledge in environmental science through interdisciplinary collaboration, experimentation, and innovative modeling approaches to support a healthier and more resilient planet. His work has been cited once since 2020, with an h-index of 1, reflecting recognition of his contributions to the field. Profile: Google Scholar
Dr. Mohamed Bey Zekkoub is a dedicated environmental scientist and water expert with extensive experience in water quality analysis, environmental risk assessment, and predictive modeling of complex environmental systems. His work bridges experimental research, numerical simulations, and machine learning approaches to understand and mitigate the impacts of chemical pollutants and plastic waste in aquatic ecosystems. He has contributed to major studies on industrial effluents, riverine pollution, and the fate of polymers in water systems, providing actionable insights for sustainable water management and ecological protection. Dr. Mohamed Bey Zekkoub has held research and consultancy roles in leading institutions, where he developed advanced numerical models, conducted ecological risk assessments, and guided mitigation strategies for environmental compliance. His expertise spans hydro informatics, chemistry, environmental modeling, and natural resource management, enabling him to support evidence-based policy development and sustainable practices. He has been recognized for his innovative contributions with prestigious awards and has presented his research at international conferences while publishing in top-tier journals. In addition to research, he has actively contributed to the development of environmental modeling tools, enhancing the accuracy of pollutant transport simulations. With a strong foundation in computational fluid dynamics, numerical modeling, and programming languages, Mohamed combines technical proficiency with a passion for addressing global environmental challenges, particularly in water security, pollution management, and the sustainable stewardship of natural resources. He continues to advance knowledge in environmental science through interdisciplinary collaboration, experimentation, and innovative modeling approaches to support a healthier and more resilient planet. His work has been cited once since 2020, with an h-index of 1, reflecting recognition of his contributions to the field. Profile: Google Scholar
Dr. Mohamed Bey Zekkoub is a dedicated environmental scientist and water expert with extensive experience in water quality analysis, environmental risk assessment, and predictive modeling of complex environmental systems. His work bridges experimental research, numerical simulations, and machine learning approaches to understand and mitigate the impacts of chemical pollutants and plastic waste in aquatic ecosystems. He has contributed to major studies on industrial effluents, riverine pollution, and the fate of polymers in water systems, providing actionable insights for sustainable water management and ecological protection. Dr. Mohamed Bey Zekkoub has held research and consultancy roles in leading institutions, where he developed advanced numerical models, conducted ecological risk assessments, and guided mitigation strategies for environmental compliance. His expertise spans hydro informatics, chemistry, environmental modeling, and natural resource management, enabling him to support evidence-based policy development and sustainable practices. He has been recognized for his innovative contributions with prestigious awards and has presented his research at international conferences while publishing in top-tier journals. In addition to research, he has actively contributed to the development of environmental modeling tools, enhancing the accuracy of pollutant transport simulations. With a strong foundation in computational fluid dynamics, numerical modeling, and programming languages, Mohamed combines technical proficiency with a passion for addressing global environmental challenges, particularly in water security, pollution management, and the sustainable stewardship of natural resources. He continues to advance knowledge in environmental science through interdisciplinary collaboration, experimentation, and innovative modeling approaches to support a healthier and more resilient planet. His work has been cited once since 2020, with an h-index of 1, reflecting recognition of his contributions to the field. Profile: Google Scholar
Dr. Mohamed Bey Zekkoub is a dedicated environmental scientist and water expert with extensive experience in water quality analysis, environmental risk assessment, and predictive modeling of complex environmental systems. His work bridges experimental research, numerical simulations, and machine learning approaches to understand and mitigate the impacts of chemical pollutants and plastic waste in aquatic ecosystems. He has contributed to major studies on industrial effluents, riverine pollution, and the fate of polymers in water systems, providing actionable insights for sustainable water management and ecological protection. Dr. Mohamed Bey Zekkoub has held research and consultancy roles in leading institutions, where he developed advanced numerical models, conducted ecological risk assessments, and guided mitigation strategies for environmental compliance. His expertise spans hydro informatics, chemistry, environmental modeling, and natural resource management, enabling him to support evidence-based policy development and sustainable practices. He has been recognized for his innovative contributions with prestigious awards and has presented his research at international conferences while publishing in top-tier journals. In addition to research, he has actively contributed to the development of environmental modeling tools, enhancing the accuracy of pollutant transport simulations. With a strong foundation in computational fluid dynamics, numerical modeling, and programming languages, Mohamed combines technical proficiency with a passion for addressing global environmental challenges, particularly in water security, pollution management, and the sustainable stewardship of natural resources. He continues to advance knowledge in environmental science through interdisciplinary collaboration, experimentation, and innovative modeling approaches to support a healthier and more resilient planet. His work has been cited once since 2020, with an h-index of 1, reflecting recognition of his contributions to the field. Profile: Google Scholar
Dr. Mohamed Bey Zekkoub is a dedicated environmental scientist and water expert with extensive experience in water quality analysis, environmental risk assessment, and predictive modeling of complex environmental systems. His work bridges experimental research, numerical simulations, and machine learning approaches to understand and mitigate the impacts of chemical pollutants and plastic waste in aquatic ecosystems. He has contributed to major studies on industrial effluents, riverine pollution, and the fate of polymers in water systems, providing actionable insights for sustainable water management and ecological protection. Dr. Mohamed Bey Zekkoub has held research and consultancy roles in leading institutions, where he developed advanced numerical models, conducted ecological risk assessments, and guided mitigation strategies for environmental compliance. His expertise spans hydro informatics, chemistry, environmental modeling, and natural resource management, enabling him to support evidence-based policy development and sustainable practices. He has been recognized for his innovative contributions with prestigious awards and has presented his research at international conferences while publishing in top-tier journals. In addition to research, he has actively contributed to the development of environmental modeling tools, enhancing the accuracy of pollutant transport simulations. With a strong foundation in computational fluid dynamics, numerical modeling, and programming languages, Mohamed combines technical proficiency with a passion for addressing global environmental challenges, particularly in water security, pollution management, and the sustainable stewardship of natural resources. He continues to advance knowledge in environmental science through interdisciplinary collaboration, experimentation, and innovative modeling approaches to support a healthier and more resilient planet. His work has been cited once since 2020, with an h-index of 1, reflecting recognition of his contributions to the field. Profile: Google Scholar
Dr. Mohamed Bey Zekkoub is a dedicated environmental scientist and water expert with extensive experience in water quality analysis, environmental risk assessment, and predictive modeling of complex environmental systems. His work bridges experimental research, numerical simulations, and machine learning approaches to understand and mitigate the impacts of chemical pollutants and plastic waste in aquatic ecosystems. He has contributed to major studies on industrial effluents, riverine pollution, and the fate of polymers in water systems, providing actionable insights for sustainable water management and ecological protection. Dr. Mohamed Bey Zekkoub has held research and consultancy roles in leading institutions, where he developed advanced numerical models, conducted ecological risk assessments, and guided mitigation strategies for environmental compliance. His expertise spans hydro informatics, chemistry, environmental modeling, and natural resource management, enabling him to support evidence-based policy development and sustainable practices. He has been recognized for his innovative contributions with prestigious awards and has presented his research at international conferences while publishing in top-tier journals. In addition to research, he has actively contributed to the development of environmental modeling tools, enhancing the accuracy of pollutant transport simulations. With a strong foundation in computational fluid dynamics, numerical modeling, and programming languages, Mohamed combines technical proficiency with a passion for addressing global environmental challenges, particularly in water security, pollution management, and the sustainable stewardship of natural resources. He continues to advance knowledge in environmental science through interdisciplinary collaboration, experimentation, and innovative modeling approaches to support a healthier and more resilient planet. His work has been cited once since 2020, with an h-index of 1, reflecting recognition of his contributions to the field. Profile: Google Scholar
Dr. Mohamed Bey Zekkoub is a dedicated environmental scientist and water expert with extensive experience in water quality analysis, environmental risk assessment, and predictive modeling of complex environmental systems. His work bridges experimental research, numerical simulations, and machine learning approaches to understand and mitigate the impacts of chemical pollutants and plastic waste in aquatic ecosystems. He has contributed to major studies on industrial effluents, riverine pollution, and the fate of polymers in water systems, providing actionable insights for sustainable water management and ecological protection. Dr. Mohamed Bey Zekkoub has held research and consultancy roles in leading institutions, where he developed advanced numerical models, conducted ecological risk assessments, and guided mitigation strategies for environmental compliance. His expertise spans hydro informatics, chemistry, environmental modeling, and natural resource management, enabling him to support evidence-based policy development and sustainable practices. He has been recognized for his innovative contributions with prestigious awards and has presented his research at international conferences while publishing in top-tier journals. In addition to research, he has actively contributed to the development of environmental modeling tools, enhancing the accuracy of pollutant transport simulations. With a strong foundation in computational fluid dynamics, numerical modeling, and programming languages, Mohamed combines technical proficiency with a passion for addressing global environmental challenges, particularly in water security, pollution management, and the sustainable stewardship of natural resources. He continues to advance knowledge in environmental science through interdisciplinary collaboration, experimentation, and innovative modeling approaches to support a healthier and more resilient planet. His work has been cited once since 2020, with an h-index of 1, reflecting recognition of his contributions to the field. Profile: Google Scholar
Dr. Mohamed Bey Zekkoub is a dedicated environmental scientist and water expert with extensive experience in water quality analysis, environmental risk assessment, and predictive modeling of complex environmental systems. His work bridges experimental research, numerical simulations, and machine learning approaches to understand and mitigate the impacts of chemical pollutants and plastic waste in aquatic ecosystems. He has contributed to major studies on industrial effluents, riverine pollution, and the fate of polymers in water systems, providing actionable insights for sustainable water management and ecological protection. Dr. Mohamed Bey Zekkoub has held research and consultancy roles in leading institutions, where he developed advanced numerical models, conducted ecological risk assessments, and guided mitigation strategies for environmental compliance. His expertise spans hydro informatics, chemistry, environmental modeling, and natural resource management, enabling him to support evidence-based policy development and sustainable practices. He has been recognized for his innovative contributions with prestigious awards and has presented his research at international conferences while publishing in top-tier journals. In addition to research, he has actively contributed to the development of environmental modeling tools, enhancing the accuracy of pollutant transport simulations. With a strong foundation in computational fluid dynamics, numerical modeling, and programming languages, Mohamed combines technical proficiency with a passion for addressing global environmental challenges, particularly in water security, pollution management, and the sustainable stewardship of natural resources. He continues to advance knowledge in environmental science through interdisciplinary collaboration, experimentation, and innovative modeling approaches to support a healthier and more resilient planet. His work has been cited once since 2020, with an h-index of 1, reflecting recognition of his contributions to the field. Profile: Google Scholar
Dr. Mohamed Bey Zekkoub is a dedicated environmental scientist and water expert with extensive experience in water quality analysis, environmental risk assessment, and predictive modeling of complex environmental systems. His work bridges experimental research, numerical simulations, and machine learning approaches to understand and mitigate the impacts of chemical pollutants and plastic waste in aquatic ecosystems. He has contributed to major studies on industrial effluents, riverine pollution, and the fate of polymers in water systems, providing actionable insights for sustainable water management and ecological protection. Dr. Mohamed Bey Zekkoub has held research and consultancy roles in leading institutions, where he developed advanced numerical models, conducted ecological risk assessments, and guided mitigation strategies for environmental compliance. His expertise spans hydro informatics, chemistry, environmental modeling, and natural resource management, enabling him to support evidence-based policy development and sustainable practices. He has been recognized for his innovative contributions with prestigious awards and has presented his research at international conferences while publishing in top-tier journals. In addition to research, he has actively contributed to the development of environmental modeling tools, enhancing the accuracy of pollutant transport simulations. With a strong foundation in computational fluid dynamics, numerical modeling, and programming languages, Mohamed combines technical proficiency with a passion for addressing global environmental challenges, particularly in water security, pollution management, and the sustainable stewardship of natural resources. He continues to advance knowledge in environmental science through interdisciplinary collaboration, experimentation, and innovative modeling approaches to support a healthier and more resilient planet. His work has been cited once since 2020, with an h-index of 1, reflecting recognition of his contributions to the field. Profile: Google Scholar
Dr. Mohamed Bey Zekkoub is a dedicated environmental scientist and water expert with extensive experience in water quality analysis, environmental risk assessment, and predictive modeling of complex environmental systems. His work bridges experimental research, numerical simulations, and machine learning approaches to understand and mitigate the impacts of chemical pollutants and plastic waste in aquatic ecosystems. He has contributed to major studies on industrial effluents, riverine pollution, and the fate of polymers in water systems, providing actionable insights for sustainable water management and ecological protection. Dr. Mohamed Bey Zekkoub has held research and consultancy roles in leading institutions, where he developed advanced numerical models, conducted ecological risk assessments, and guided mitigation strategies for environmental compliance. His expertise spans hydro informatics, chemistry, environmental modeling, and natural resource management, enabling him to support evidence-based policy development and sustainable practices. He has been recognized for his innovative contributions with prestigious awards and has presented his research at international conferences while publishing in top-tier journals. In addition to research, he has actively contributed to the development of environmental modeling tools, enhancing the accuracy of pollutant transport simulations. With a strong foundation in computational fluid dynamics, numerical modeling, and programming languages, Mohamed combines technical proficiency with a passion for addressing global environmental challenges, particularly in water security, pollution management, and the sustainable stewardship of natural resources. He continues to advance knowledge in environmental science through interdisciplinary collaboration, experimentation, and innovative modeling approaches to support a healthier and more resilient planet. His work has been cited once since 2020, with an h-index of 1, reflecting recognition of his contributions to the field. Profile: Google Scholar
Dr. Mohamed Bey Zekkoub is a dedicated environmental scientist and water expert with extensive experience in water quality analysis, environmental risk assessment, and predictive modeling of complex environmental systems. His work bridges experimental research, numerical simulations, and machine learning approaches to understand and mitigate the impacts of chemical pollutants and plastic waste in aquatic ecosystems. He has contributed to major studies on industrial effluents, riverine pollution, and the fate of polymers in water systems, providing actionable insights for sustainable water management and ecological protection. Dr. Mohamed Bey Zekkoub has held research and consultancy roles in leading institutions, where he developed advanced numerical models, conducted ecological risk assessments, and guided mitigation strategies for environmental compliance. His expertise spans hydro informatics, chemistry, environmental modeling, and natural resource management, enabling him to support evidence-based policy development and sustainable practices. He has been recognized for his innovative contributions with prestigious awards and has presented his research at international conferences while publishing in top-tier journals. In addition to research, he has actively contributed to the development of environmental modeling tools, enhancing the accuracy of pollutant transport simulations. With a strong foundation in computational fluid dynamics, numerical modeling, and programming languages, Mohamed combines technical proficiency with a passion for addressing global environmental challenges, particularly in water security, pollution management, and the sustainable stewardship of natural resources. He continues to advance knowledge in environmental science through interdisciplinary collaboration, experimentation, and innovative modeling approaches to support a healthier and more resilient planet. His work has been cited once since 2020, with an h-index of 1, reflecting recognition of his contributions to the field. Profile: Google Scholar
Featured Publications Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2025). Modeling solute transport in rivers: Analytical and numerical solutions. Environmental Modelling & Software, 106580. Bey-Zekkoub, M., Tassi, P., & Chhim, N. (2025). Assessing the impacts of sodium polyacrylate discharge into the Seine River: A numerical modeling approach. Journal of Contaminant Hydrology, 104740. Bey-Zekkoub, M., Tassi, P., Chhim, N., Bretaud, M., & Harnichard, A. (2024). Interaction between sodium polyacrylate and sediment transport in a simplified river reach configuration. Telemac User Conference TUC 2024. Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2024). Analytical and numerical solutions for one-dimensional solute transport in rivers: Advection, adsorption, degradation, and bed accumulation. Journal of Hydrology.
Featured Publications Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2025). Modeling solute transport in rivers: Analytical and numerical solutions. Environmental Modelling & Software, 106580. Bey-Zekkoub, M., Tassi, P., & Chhim, N. (2025). Assessing the impacts of sodium polyacrylate discharge into the Seine River: A numerical modeling approach. Journal of Contaminant Hydrology, 104740. Bey-Zekkoub, M., Tassi, P., Chhim, N., Bretaud, M., & Harnichard, A. (2024). Interaction between sodium polyacrylate and sediment transport in a simplified river reach configuration. Telemac User Conference TUC 2024. Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2024). Analytical and numerical solutions for one-dimensional solute transport in rivers: Advection, adsorption, degradation, and bed accumulation. Journal of Hydrology.
Featured Publications Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2025). Modeling solute transport in rivers: Analytical and numerical solutions. Environmental Modelling & Software, 106580. Bey-Zekkoub, M., Tassi, P., & Chhim, N. (2025). Assessing the impacts of sodium polyacrylate discharge into the Seine River: A numerical modeling approach. Journal of Contaminant Hydrology, 104740. Bey-Zekkoub, M., Tassi, P., Chhim, N., Bretaud, M., & Harnichard, A. (2024). Interaction between sodium polyacrylate and sediment transport in a simplified river reach configuration. Telemac User Conference TUC 2024. Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2024). Analytical and numerical solutions for one-dimensional solute transport in rivers: Advection, adsorption, degradation, and bed accumulation. Journal of Hydrology.
Featured Publications Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2025). Modeling solute transport in rivers: Analytical and numerical solutions. Environmental Modelling & Software, 106580. Bey-Zekkoub, M., Tassi, P., & Chhim, N. (2025). Assessing the impacts of sodium polyacrylate discharge into the Seine River: A numerical modeling approach. Journal of Contaminant Hydrology, 104740. Bey-Zekkoub, M., Tassi, P., Chhim, N., Bretaud, M., & Harnichard, A. (2024). Interaction between sodium polyacrylate and sediment transport in a simplified river reach configuration. Telemac User Conference TUC 2024. Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2024). Analytical and numerical solutions for one-dimensional solute transport in rivers: Advection, adsorption, degradation, and bed accumulation. Journal of Hydrology.
Featured Publications Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2025). Modeling solute transport in rivers: Analytical and numerical solutions. Environmental Modelling & Software, 106580. Bey-Zekkoub, M., Tassi, P., & Chhim, N. (2025). Assessing the impacts of sodium polyacrylate discharge into the Seine River: A numerical modeling approach. Journal of Contaminant Hydrology, 104740. Bey-Zekkoub, M., Tassi, P., Chhim, N., Bretaud, M., & Harnichard, A. (2024). Interaction between sodium polyacrylate and sediment transport in a simplified river reach configuration. Telemac User Conference TUC 2024. Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2024). Analytical and numerical solutions for one-dimensional solute transport in rivers: Advection, adsorption, degradation, and bed accumulation. Journal of Hydrology.
Featured Publications Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2025). Modeling solute transport in rivers: Analytical and numerical solutions. Environmental Modelling & Software, 106580. Bey-Zekkoub, M., Tassi, P., & Chhim, N. (2025). Assessing the impacts of sodium polyacrylate discharge into the Seine River: A numerical modeling approach. Journal of Contaminant Hydrology, 104740. Bey-Zekkoub, M., Tassi, P., Chhim, N., Bretaud, M., & Harnichard, A. (2024). Interaction between sodium polyacrylate and sediment transport in a simplified river reach configuration. Telemac User Conference TUC 2024. Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2024). Analytical and numerical solutions for one-dimensional solute transport in rivers: Advection, adsorption, degradation, and bed accumulation. Journal of Hydrology.
Featured Publications Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2025). Modeling solute transport in rivers: Analytical and numerical solutions. Environmental Modelling & Software, 106580. Bey-Zekkoub, M., Tassi, P., & Chhim, N. (2025). Assessing the impacts of sodium polyacrylate discharge into the Seine River: A numerical modeling approach. Journal of Contaminant Hydrology, 104740. Bey-Zekkoub, M., Tassi, P., Chhim, N., Bretaud, M., & Harnichard, A. (2024). Interaction between sodium polyacrylate and sediment transport in a simplified river reach configuration. Telemac User Conference TUC 2024. Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2024). Analytical and numerical solutions for one-dimensional solute transport in rivers: Advection, adsorption, degradation, and bed accumulation. Journal of Hydrology.
Featured Publications Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2025). Modeling solute transport in rivers: Analytical and numerical solutions. Environmental Modelling & Software, 106580. Bey-Zekkoub, M., Tassi, P., & Chhim, N. (2025). Assessing the impacts of sodium polyacrylate discharge into the Seine River: A numerical modeling approach. Journal of Contaminant Hydrology, 104740. Bey-Zekkoub, M., Tassi, P., Chhim, N., Bretaud, M., & Harnichard, A. (2024). Interaction between sodium polyacrylate and sediment transport in a simplified river reach configuration. Telemac User Conference TUC 2024. Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2024). Analytical and numerical solutions for one-dimensional solute transport in rivers: Advection, adsorption, degradation, and bed accumulation. Journal of Hydrology.
Featured Publications Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2025). Modeling solute transport in rivers: Analytical and numerical solutions. Environmental Modelling & Software, 106580. Bey-Zekkoub, M., Tassi, P., & Chhim, N. (2025). Assessing the impacts of sodium polyacrylate discharge into the Seine River: A numerical modeling approach. Journal of Contaminant Hydrology, 104740. Bey-Zekkoub, M., Tassi, P., Chhim, N., Bretaud, M., & Harnichard, A. (2024). Interaction between sodium polyacrylate and sediment transport in a simplified river reach configuration. Telemac User Conference TUC 2024. Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2024). Analytical and numerical solutions for one-dimensional solute transport in rivers: Advection, adsorption, degradation, and bed accumulation. Journal of Hydrology.
Featured Publications Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2025). Modeling solute transport in rivers: Analytical and numerical solutions. Environmental Modelling & Software, 106580. Bey-Zekkoub, M., Tassi, P., & Chhim, N. (2025). Assessing the impacts of sodium polyacrylate discharge into the Seine River: A numerical modeling approach. Journal of Contaminant Hydrology, 104740. Bey-Zekkoub, M., Tassi, P., Chhim, N., Bretaud, M., & Harnichard, A. (2024). Interaction between sodium polyacrylate and sediment transport in a simplified river reach configuration. Telemac User Conference TUC 2024. Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2024). Analytical and numerical solutions for one-dimensional solute transport in rivers: Advection, adsorption, degradation, and bed accumulation. Journal of Hydrology.
Featured Publications Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2025). Modeling solute transport in rivers: Analytical and numerical solutions. Environmental Modelling & Software, 106580. Bey-Zekkoub, M., Tassi, P., & Chhim, N. (2025). Assessing the impacts of sodium polyacrylate discharge into the Seine River: A numerical modeling approach. Journal of Contaminant Hydrology, 104740. Bey-Zekkoub, M., Tassi, P., Chhim, N., Bretaud, M., & Harnichard, A. (2024). Interaction between sodium polyacrylate and sediment transport in a simplified river reach configuration. Telemac User Conference TUC 2024. Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2024). Analytical and numerical solutions for one-dimensional solute transport in rivers: Advection, adsorption, degradation, and bed accumulation. Journal of Hydrology.
Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2025). Modeling solute transport in rivers: Analytical and numerical solutions. Environmental Modelling & Software, 106580. Bey-Zekkoub, M., Tassi, P., & Chhim, N. (2025). Assessing the impacts of sodium polyacrylate discharge into the Seine River: A numerical modeling approach. Journal of Contaminant Hydrology, 104740. Bey-Zekkoub, M., Tassi, P., Chhim, N., Bretaud, M., & Harnichard, A. (2024). Interaction between sodium polyacrylate and sediment transport in a simplified river reach configuration. Telemac User Conference TUC 2024. Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2024). Analytical and numerical solutions for one-dimensional solute transport in rivers: Advection, adsorption, degradation, and bed accumulation. Journal of Hydrology.
Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2025). Modeling solute transport in rivers: Analytical and numerical solutions. Environmental Modelling & Software, 106580. Bey-Zekkoub, M., Tassi, P., & Chhim, N. (2025). Assessing the impacts of sodium polyacrylate discharge into the Seine River: A numerical modeling approach. Journal of Contaminant Hydrology, 104740. Bey-Zekkoub, M., Tassi, P., Chhim, N., Bretaud, M., & Harnichard, A. (2024). Interaction between sodium polyacrylate and sediment transport in a simplified river reach configuration. Telemac User Conference TUC 2024. Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2024). Analytical and numerical solutions for one-dimensional solute transport in rivers: Advection, adsorption, degradation, and bed accumulation. Journal of Hydrology.
Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2025). Modeling solute transport in rivers: Analytical and numerical solutions. Environmental Modelling & Software, 106580. Bey-Zekkoub, M., Tassi, P., & Chhim, N. (2025). Assessing the impacts of sodium polyacrylate discharge into the Seine River: A numerical modeling approach. Journal of Contaminant Hydrology, 104740. Bey-Zekkoub, M., Tassi, P., Chhim, N., Bretaud, M., & Harnichard, A. (2024). Interaction between sodium polyacrylate and sediment transport in a simplified river reach configuration. Telemac User Conference TUC 2024. Bey-Zekkoub, M., Tassi, P., Lucas, C., & Chhim, N. (2024). Analytical and numerical solutions for one-dimensional solute transport in rivers: Advection, adsorption, degradation, and bed accumulation. Journal of Hydrology.
Chi Mai Do | Irrigation | Best Researcher Award Published on 11/10/202511/10/2025 by Environmental Scientists Dr. Chi Mai Do | Irrigation | Best Researcher Award Researcher | Adelaide University | Australia Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Dr. Chi Mai Do is an accomplished plant scientist and biotechnology researcher whose work bridges horticultural innovation, genetic diversity, and sustainable agricultural practices. With a strong academic background in plant science, biotechnology, and horticulture, she has focused her research on the pre-breeding of Indigenous Australian crops, genetic resistance in cereals, and crop improvement for resilience and sustainability. Her professional journey includes research and technical roles at the University of Adelaide, Athena IR-Tech, Magnus Kahl Seeds, and the United Nations Development Programme, where she contributed to green supply chain development and low-carbon agricultural strategies. Her research extends across plant tissue culture, precision irrigation, and genetic marker development, emphasizing data-driven approaches to enhance crop productivity and environmental adaptability. Dr. Chi Mai Do has co-authored several influential publications in international journals and contributed to national horticultural initiatives supporting Indigenous food programs and crop breeding innovation. Beyond research, she serves as an editorial board member of the New Zealand Journal of Crop and Horticultural Science and volunteers with programs fostering early-career researcher development across Asia-Pacific institutions. Known for her multidisciplinary expertise, she integrates field research, biotechnological tools, and policy engagement to strengthen sustainable agrifood systems, supporting both scientific advancement and community-based agricultural growth. Profile: Orcid
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Featured Publications Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Guevara-Torres, D. R., Luo, H., Do, C. M., Ostendorf, B., & Pagay, V. (2025). Improving the accuracy of seasonal crop coefficients in grapevine from Sentinel-2 data. Remote Sensing, 17(19), 3365. Tran, D. N., Do, C. M., Le, H. T., & Do, P. M. (2021). Assessment on the potentials for a green and sustainable dragon fruit supply chain in Binh Thuan province in Vietnam (No. IC. 2020-09-42). United Nations Development Programme (UNDP). Dunker, B., Waycott, M., Faast, R., Carragher, J., Jiranek, V., Delaporte, K., Betteridge, A., Calladine, A., Clarke, P., Conran, J., Mai Do, C., Puglisi, C., Sundstrom, J., Weinstein, P., Wilkinson, K., & Lowe, A. (2019). Final report: The Indigenous Food Program, a project in partnership with The Orana Foundation. University of Adelaide, South Australia. Do, C. M., Pagay, V., Delaporte, K. L., & Schultz, C. J. (2018). Salinity tolerance of muntries (Kunzea pomifera), a native food crop. HortScience, 53(11), 1562–1569. Do, C. M., Panakera-Thorpe, L. C., Delaporte, K. L., Croxford, A. E., & Schultz, C. J. (2017). Genic simple sequence repeat markers for measuring genetic diversity in a native food crop: A case study of Australian Kunzea pomifera F. Muell. (muntries). Genetic Resources and Crop Evolution, 1–21. Do, C. M., Delaporte, K. L., & Schultz, C. J. (2017). Benchmarking study of quality parameters of Rivoli Bay selection of Kunzea pomifera (muntries): A new Indigenous crop from Australia. Scientia Horticulturae, 219, 287–293.
Nawar Al-Tameemi | Soil and Water Conservation | Best Researcher Award Published on 10/10/202510/10/2025 by Environmental Scientists Dr. Nawar Al-Tameemi | Soil and Water Conservation | Best Researcher Award Research Assistant | Beijing Forestry University | China Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes. Profile: Orcid | Google Scholar
Dr. Nawar Al-Tameemi is a dedicated research assistant at Beijing Forestry University specializing in environmental science, remote sensing, and geospatial analysis. His work focuses on understanding and mitigating land degradation and desertification in arid and semi-arid regions through advanced data-driven approaches. He has contributed to pioneering research projects that examine vegetation degradation, land-use change, and desertification risk mapping by integrating satellite-derived data, statistical analyses, and machine learning techniques. Dr. Nawar Al-Tameemi develops innovative frameworks that objectively assess the influence of climatic, vegetative, and human factors on land degradation, providing high-precision risk maps to inform sustainable land management and policy interventions. His research enhances the accuracy and applicability of environmental monitoring tools and supports targeted strategies to promote soil and water conservation. With publications in leading journals such as MDPI Remote Sensing and practical experience in applied projects, he bridges academic research with real-world environmental solutions. Committed to advancing knowledge in sustainable land use, Dr. Nawar Al-Tameemi also contributes to mentoring, collaboration, and capacity-building in climate education, fostering awareness of ecological resilience and the adoption of clean, sustainable practices across vulnerable landscapes.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Featured Publications Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.
Al-Tameemi, N., Xuexia, Z., Shahzad, F., Mehmood, K., Linying, X., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing, 17(19), 3343.