Fatemeh Avazpour | Hydrology | Best Researcher Award Published on 10/11/202510/11/2025 by Environmental Scientists Dr. Fatemeh Avazpour | Hydrology | Best Researcher Award Yazd University | Iran Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management. Profiles: Scopus Featured Publications Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, June). Flow discharge and suspended sediment load prediction in multiple sites of a basin: A comparative study of classical AI and deep learning approaches. Journal of Acta Geophysica. Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, April). Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering Journal. Parsaie, A., Avazpour, F., & Afaridegan, E. (2025, March). Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science. Avazpour, F., Hadian, M., & Talebi, A. (2025, September). Performance evaluation of the conceptual IHACRES model in simulating runoff in data-scarce semi-arid watersheds. The Journal of Iranian Water Research. Avazpour, F., Hadian, M., & Talebi, A. (2024, June). Evaluation of the performance of machine learning models and optimization algorithms in predicting flow discharge of Kashkan River. Watershed Management Research Journal.
Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management. Profiles: Scopus
Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management. Profiles: Scopus
Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management. Profiles: Scopus
Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management. Profiles: Scopus
Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management. Profiles: Scopus
Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management. Profiles: Scopus
Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management. Profiles: Scopus
Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management. Profiles: Scopus
Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management. Profiles: Scopus
Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management. Profiles: Scopus
Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management. Profiles: Scopus
Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management. Profiles: Scopus
Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management. Profiles: Scopus
Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management. Profiles: Scopus
Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management. Profiles: Scopus
Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management. Profiles: Scopus
Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management. Profiles: Scopus
Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management. Profiles: Scopus
Featured Publications Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, June). Flow discharge and suspended sediment load prediction in multiple sites of a basin: A comparative study of classical AI and deep learning approaches. Journal of Acta Geophysica. Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, April). Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering Journal. Parsaie, A., Avazpour, F., & Afaridegan, E. (2025, March). Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science. Avazpour, F., Hadian, M., & Talebi, A. (2025, September). Performance evaluation of the conceptual IHACRES model in simulating runoff in data-scarce semi-arid watersheds. The Journal of Iranian Water Research. Avazpour, F., Hadian, M., & Talebi, A. (2024, June). Evaluation of the performance of machine learning models and optimization algorithms in predicting flow discharge of Kashkan River. Watershed Management Research Journal.
Featured Publications Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, June). Flow discharge and suspended sediment load prediction in multiple sites of a basin: A comparative study of classical AI and deep learning approaches. Journal of Acta Geophysica. Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, April). Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering Journal. Parsaie, A., Avazpour, F., & Afaridegan, E. (2025, March). Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science. Avazpour, F., Hadian, M., & Talebi, A. (2025, September). Performance evaluation of the conceptual IHACRES model in simulating runoff in data-scarce semi-arid watersheds. The Journal of Iranian Water Research. Avazpour, F., Hadian, M., & Talebi, A. (2024, June). Evaluation of the performance of machine learning models and optimization algorithms in predicting flow discharge of Kashkan River. Watershed Management Research Journal.
Featured Publications Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, June). Flow discharge and suspended sediment load prediction in multiple sites of a basin: A comparative study of classical AI and deep learning approaches. Journal of Acta Geophysica. Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, April). Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering Journal. Parsaie, A., Avazpour, F., & Afaridegan, E. (2025, March). Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science. Avazpour, F., Hadian, M., & Talebi, A. (2025, September). Performance evaluation of the conceptual IHACRES model in simulating runoff in data-scarce semi-arid watersheds. The Journal of Iranian Water Research. Avazpour, F., Hadian, M., & Talebi, A. (2024, June). Evaluation of the performance of machine learning models and optimization algorithms in predicting flow discharge of Kashkan River. Watershed Management Research Journal.
Featured Publications Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, June). Flow discharge and suspended sediment load prediction in multiple sites of a basin: A comparative study of classical AI and deep learning approaches. Journal of Acta Geophysica. Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, April). Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering Journal. Parsaie, A., Avazpour, F., & Afaridegan, E. (2025, March). Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science. Avazpour, F., Hadian, M., & Talebi, A. (2025, September). Performance evaluation of the conceptual IHACRES model in simulating runoff in data-scarce semi-arid watersheds. The Journal of Iranian Water Research. Avazpour, F., Hadian, M., & Talebi, A. (2024, June). Evaluation of the performance of machine learning models and optimization algorithms in predicting flow discharge of Kashkan River. Watershed Management Research Journal.
Featured Publications Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, June). Flow discharge and suspended sediment load prediction in multiple sites of a basin: A comparative study of classical AI and deep learning approaches. Journal of Acta Geophysica. Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, April). Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering Journal. Parsaie, A., Avazpour, F., & Afaridegan, E. (2025, March). Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science. Avazpour, F., Hadian, M., & Talebi, A. (2025, September). Performance evaluation of the conceptual IHACRES model in simulating runoff in data-scarce semi-arid watersheds. The Journal of Iranian Water Research. Avazpour, F., Hadian, M., & Talebi, A. (2024, June). Evaluation of the performance of machine learning models and optimization algorithms in predicting flow discharge of Kashkan River. Watershed Management Research Journal.
Featured Publications Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, June). Flow discharge and suspended sediment load prediction in multiple sites of a basin: A comparative study of classical AI and deep learning approaches. Journal of Acta Geophysica. Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, April). Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering Journal. Parsaie, A., Avazpour, F., & Afaridegan, E. (2025, March). Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science. Avazpour, F., Hadian, M., & Talebi, A. (2025, September). Performance evaluation of the conceptual IHACRES model in simulating runoff in data-scarce semi-arid watersheds. The Journal of Iranian Water Research. Avazpour, F., Hadian, M., & Talebi, A. (2024, June). Evaluation of the performance of machine learning models and optimization algorithms in predicting flow discharge of Kashkan River. Watershed Management Research Journal.
Featured Publications Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, June). Flow discharge and suspended sediment load prediction in multiple sites of a basin: A comparative study of classical AI and deep learning approaches. Journal of Acta Geophysica. Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, April). Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering Journal. Parsaie, A., Avazpour, F., & Afaridegan, E. (2025, March). Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science. Avazpour, F., Hadian, M., & Talebi, A. (2025, September). Performance evaluation of the conceptual IHACRES model in simulating runoff in data-scarce semi-arid watersheds. The Journal of Iranian Water Research. Avazpour, F., Hadian, M., & Talebi, A. (2024, June). Evaluation of the performance of machine learning models and optimization algorithms in predicting flow discharge of Kashkan River. Watershed Management Research Journal.
Featured Publications Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, June). Flow discharge and suspended sediment load prediction in multiple sites of a basin: A comparative study of classical AI and deep learning approaches. Journal of Acta Geophysica. Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, April). Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering Journal. Parsaie, A., Avazpour, F., & Afaridegan, E. (2025, March). Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science. Avazpour, F., Hadian, M., & Talebi, A. (2025, September). Performance evaluation of the conceptual IHACRES model in simulating runoff in data-scarce semi-arid watersheds. The Journal of Iranian Water Research. Avazpour, F., Hadian, M., & Talebi, A. (2024, June). Evaluation of the performance of machine learning models and optimization algorithms in predicting flow discharge of Kashkan River. Watershed Management Research Journal.
Featured Publications Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, June). Flow discharge and suspended sediment load prediction in multiple sites of a basin: A comparative study of classical AI and deep learning approaches. Journal of Acta Geophysica. Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, April). Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering Journal. Parsaie, A., Avazpour, F., & Afaridegan, E. (2025, March). Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science. Avazpour, F., Hadian, M., & Talebi, A. (2025, September). Performance evaluation of the conceptual IHACRES model in simulating runoff in data-scarce semi-arid watersheds. The Journal of Iranian Water Research. Avazpour, F., Hadian, M., & Talebi, A. (2024, June). Evaluation of the performance of machine learning models and optimization algorithms in predicting flow discharge of Kashkan River. Watershed Management Research Journal.
Featured Publications Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, June). Flow discharge and suspended sediment load prediction in multiple sites of a basin: A comparative study of classical AI and deep learning approaches. Journal of Acta Geophysica. Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, April). Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering Journal. Parsaie, A., Avazpour, F., & Afaridegan, E. (2025, March). Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science. Avazpour, F., Hadian, M., & Talebi, A. (2025, September). Performance evaluation of the conceptual IHACRES model in simulating runoff in data-scarce semi-arid watersheds. The Journal of Iranian Water Research. Avazpour, F., Hadian, M., & Talebi, A. (2024, June). Evaluation of the performance of machine learning models and optimization algorithms in predicting flow discharge of Kashkan River. Watershed Management Research Journal.
Featured Publications Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, June). Flow discharge and suspended sediment load prediction in multiple sites of a basin: A comparative study of classical AI and deep learning approaches. Journal of Acta Geophysica. Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, April). Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering Journal. Parsaie, A., Avazpour, F., & Afaridegan, E. (2025, March). Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science. Avazpour, F., Hadian, M., & Talebi, A. (2025, September). Performance evaluation of the conceptual IHACRES model in simulating runoff in data-scarce semi-arid watersheds. The Journal of Iranian Water Research. Avazpour, F., Hadian, M., & Talebi, A. (2024, June). Evaluation of the performance of machine learning models and optimization algorithms in predicting flow discharge of Kashkan River. Watershed Management Research Journal.
Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, June). Flow discharge and suspended sediment load prediction in multiple sites of a basin: A comparative study of classical AI and deep learning approaches. Journal of Acta Geophysica. Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, April). Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering Journal. Parsaie, A., Avazpour, F., & Afaridegan, E. (2025, March). Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science. Avazpour, F., Hadian, M., & Talebi, A. (2025, September). Performance evaluation of the conceptual IHACRES model in simulating runoff in data-scarce semi-arid watersheds. The Journal of Iranian Water Research. Avazpour, F., Hadian, M., & Talebi, A. (2024, June). Evaluation of the performance of machine learning models and optimization algorithms in predicting flow discharge of Kashkan River. Watershed Management Research Journal.
Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, June). Flow discharge and suspended sediment load prediction in multiple sites of a basin: A comparative study of classical AI and deep learning approaches. Journal of Acta Geophysica. Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, April). Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering Journal. Parsaie, A., Avazpour, F., & Afaridegan, E. (2025, March). Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science. Avazpour, F., Hadian, M., & Talebi, A. (2025, September). Performance evaluation of the conceptual IHACRES model in simulating runoff in data-scarce semi-arid watersheds. The Journal of Iranian Water Research. Avazpour, F., Hadian, M., & Talebi, A. (2024, June). Evaluation of the performance of machine learning models and optimization algorithms in predicting flow discharge of Kashkan River. Watershed Management Research Journal.
Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, June). Flow discharge and suspended sediment load prediction in multiple sites of a basin: A comparative study of classical AI and deep learning approaches. Journal of Acta Geophysica. Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, April). Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering Journal. Parsaie, A., Avazpour, F., & Afaridegan, E. (2025, March). Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science. Avazpour, F., Hadian, M., & Talebi, A. (2025, September). Performance evaluation of the conceptual IHACRES model in simulating runoff in data-scarce semi-arid watersheds. The Journal of Iranian Water Research. Avazpour, F., Hadian, M., & Talebi, A. (2024, June). Evaluation of the performance of machine learning models and optimization algorithms in predicting flow discharge of Kashkan River. Watershed Management Research Journal.
Jingjing Jiang | Wastewater | Best Researcher Award Published on 18/10/202518/10/2025 by Environmental Scientists Dr. Jingjing Jiang | Wastewater | Best Researcher Award professor | Jilin University | China Dr. Jingjing Jiang of Jilin University is a distinguished environmental scientist whose research advances the understanding and application of transmembrane ion transport for wastewater treatment. With over 49 publications in SCI and Scopus-indexed journals, her work contributes significantly to sustainable environmental engineering and innovative water purification technologies. She has completed more than 15 research projects and participated in national collaborations supported by the National Natural Science Foundation of China, leading impactful research outcomes recognized through prestigious honors such as the Jilin Provincial Natural Science Award and the Ogano Award. Dr. Jingjing Jiang commitment to scientific innovation is reflected in her portfolio of 9 patents, 2 consultancy projects, and 1 published book, demonstrating both academic depth and industrial relevance. Her research impact is evidenced by 2,220 citations from 1,977 documents, 43 publications, and an h-index of 26, highlighting her strong international influence in the field. As a Young Editorial Board Member for several high-impact journals, including Nano-Micro Letters, Research, and Water Purification Technology, she actively shapes scholarly communication in environmental science. A recognized Tang Aoqing Young Scholar and Young Growth Science and Technology Talent of Jilin Province, Dr. Jingjing Jiang continues to mentor future scientists and foster cross-disciplinary collaboration. Her leadership, innovation, and academic excellence exemplify her as an emerging global authority in environmental engineering and a deserving candidate for the Best Researcher Award. Profiles: Scopus | Researchgate Featured Publications Jiang, J., Zhang, Y., Liu, Y., & Dong, S. (2025, March). Selective activation of peroxymonosulfate through gating heteronuclear diatomic distance for flexible generation of high-valent cobalt-oxo species or sulfate radicals. Sun, T., Liu, Y., Li, J., & Dong, S. (2025, March). Radical and nonradical cocatalysis induced by asymmetric medium-spin cobalt single atom for water decontamination. Jiang, J., Liu, S., Zhao, B., & Dong, S. (2025, February). Angstrom confinement-triggered adaptive spin state transition of CoMn dual single atoms for efficient singlet oxygen generation. Zhao, Z., Jiang, J., Zhou, D., & Dong, S. (2025, January). Microalgal-based urea wastewater treatment with p-hydroxybenzoic acid enhances resource recovery and mitigates biological risks from bisphenol A. Liu, Y., Jiang, J., Li, T., & Dong, S. (2024, December). Tuning charge distribution for synergistic enhancement of internal electric field in BiOCl via phosphorus–vanadium dual-doping.
Dr. Jingjing Jiang of Jilin University is a distinguished environmental scientist whose research advances the understanding and application of transmembrane ion transport for wastewater treatment. With over 49 publications in SCI and Scopus-indexed journals, her work contributes significantly to sustainable environmental engineering and innovative water purification technologies. She has completed more than 15 research projects and participated in national collaborations supported by the National Natural Science Foundation of China, leading impactful research outcomes recognized through prestigious honors such as the Jilin Provincial Natural Science Award and the Ogano Award. Dr. Jingjing Jiang commitment to scientific innovation is reflected in her portfolio of 9 patents, 2 consultancy projects, and 1 published book, demonstrating both academic depth and industrial relevance. Her research impact is evidenced by 2,220 citations from 1,977 documents, 43 publications, and an h-index of 26, highlighting her strong international influence in the field. As a Young Editorial Board Member for several high-impact journals, including Nano-Micro Letters, Research, and Water Purification Technology, she actively shapes scholarly communication in environmental science. A recognized Tang Aoqing Young Scholar and Young Growth Science and Technology Talent of Jilin Province, Dr. Jingjing Jiang continues to mentor future scientists and foster cross-disciplinary collaboration. Her leadership, innovation, and academic excellence exemplify her as an emerging global authority in environmental engineering and a deserving candidate for the Best Researcher Award. Profiles: Scopus | Researchgate
Dr. Jingjing Jiang of Jilin University is a distinguished environmental scientist whose research advances the understanding and application of transmembrane ion transport for wastewater treatment. With over 49 publications in SCI and Scopus-indexed journals, her work contributes significantly to sustainable environmental engineering and innovative water purification technologies. She has completed more than 15 research projects and participated in national collaborations supported by the National Natural Science Foundation of China, leading impactful research outcomes recognized through prestigious honors such as the Jilin Provincial Natural Science Award and the Ogano Award. Dr. Jingjing Jiang commitment to scientific innovation is reflected in her portfolio of 9 patents, 2 consultancy projects, and 1 published book, demonstrating both academic depth and industrial relevance. Her research impact is evidenced by 2,220 citations from 1,977 documents, 43 publications, and an h-index of 26, highlighting her strong international influence in the field. As a Young Editorial Board Member for several high-impact journals, including Nano-Micro Letters, Research, and Water Purification Technology, she actively shapes scholarly communication in environmental science. A recognized Tang Aoqing Young Scholar and Young Growth Science and Technology Talent of Jilin Province, Dr. Jingjing Jiang continues to mentor future scientists and foster cross-disciplinary collaboration. Her leadership, innovation, and academic excellence exemplify her as an emerging global authority in environmental engineering and a deserving candidate for the Best Researcher Award. Profiles: Scopus | Researchgate
Dr. Jingjing Jiang of Jilin University is a distinguished environmental scientist whose research advances the understanding and application of transmembrane ion transport for wastewater treatment. With over 49 publications in SCI and Scopus-indexed journals, her work contributes significantly to sustainable environmental engineering and innovative water purification technologies. She has completed more than 15 research projects and participated in national collaborations supported by the National Natural Science Foundation of China, leading impactful research outcomes recognized through prestigious honors such as the Jilin Provincial Natural Science Award and the Ogano Award. Dr. Jingjing Jiang commitment to scientific innovation is reflected in her portfolio of 9 patents, 2 consultancy projects, and 1 published book, demonstrating both academic depth and industrial relevance. Her research impact is evidenced by 2,220 citations from 1,977 documents, 43 publications, and an h-index of 26, highlighting her strong international influence in the field. As a Young Editorial Board Member for several high-impact journals, including Nano-Micro Letters, Research, and Water Purification Technology, she actively shapes scholarly communication in environmental science. A recognized Tang Aoqing Young Scholar and Young Growth Science and Technology Talent of Jilin Province, Dr. Jingjing Jiang continues to mentor future scientists and foster cross-disciplinary collaboration. Her leadership, innovation, and academic excellence exemplify her as an emerging global authority in environmental engineering and a deserving candidate for the Best Researcher Award. Profiles: Scopus | Researchgate
Dr. Jingjing Jiang of Jilin University is a distinguished environmental scientist whose research advances the understanding and application of transmembrane ion transport for wastewater treatment. With over 49 publications in SCI and Scopus-indexed journals, her work contributes significantly to sustainable environmental engineering and innovative water purification technologies. She has completed more than 15 research projects and participated in national collaborations supported by the National Natural Science Foundation of China, leading impactful research outcomes recognized through prestigious honors such as the Jilin Provincial Natural Science Award and the Ogano Award. Dr. Jingjing Jiang commitment to scientific innovation is reflected in her portfolio of 9 patents, 2 consultancy projects, and 1 published book, demonstrating both academic depth and industrial relevance. Her research impact is evidenced by 2,220 citations from 1,977 documents, 43 publications, and an h-index of 26, highlighting her strong international influence in the field. As a Young Editorial Board Member for several high-impact journals, including Nano-Micro Letters, Research, and Water Purification Technology, she actively shapes scholarly communication in environmental science. A recognized Tang Aoqing Young Scholar and Young Growth Science and Technology Talent of Jilin Province, Dr. Jingjing Jiang continues to mentor future scientists and foster cross-disciplinary collaboration. Her leadership, innovation, and academic excellence exemplify her as an emerging global authority in environmental engineering and a deserving candidate for the Best Researcher Award. Profiles: Scopus | Researchgate
Dr. Jingjing Jiang of Jilin University is a distinguished environmental scientist whose research advances the understanding and application of transmembrane ion transport for wastewater treatment. With over 49 publications in SCI and Scopus-indexed journals, her work contributes significantly to sustainable environmental engineering and innovative water purification technologies. She has completed more than 15 research projects and participated in national collaborations supported by the National Natural Science Foundation of China, leading impactful research outcomes recognized through prestigious honors such as the Jilin Provincial Natural Science Award and the Ogano Award. Dr. Jingjing Jiang commitment to scientific innovation is reflected in her portfolio of 9 patents, 2 consultancy projects, and 1 published book, demonstrating both academic depth and industrial relevance. Her research impact is evidenced by 2,220 citations from 1,977 documents, 43 publications, and an h-index of 26, highlighting her strong international influence in the field. As a Young Editorial Board Member for several high-impact journals, including Nano-Micro Letters, Research, and Water Purification Technology, she actively shapes scholarly communication in environmental science. A recognized Tang Aoqing Young Scholar and Young Growth Science and Technology Talent of Jilin Province, Dr. Jingjing Jiang continues to mentor future scientists and foster cross-disciplinary collaboration. Her leadership, innovation, and academic excellence exemplify her as an emerging global authority in environmental engineering and a deserving candidate for the Best Researcher Award. Profiles: Scopus | Researchgate
Dr. Jingjing Jiang of Jilin University is a distinguished environmental scientist whose research advances the understanding and application of transmembrane ion transport for wastewater treatment. With over 49 publications in SCI and Scopus-indexed journals, her work contributes significantly to sustainable environmental engineering and innovative water purification technologies. She has completed more than 15 research projects and participated in national collaborations supported by the National Natural Science Foundation of China, leading impactful research outcomes recognized through prestigious honors such as the Jilin Provincial Natural Science Award and the Ogano Award. Dr. Jingjing Jiang commitment to scientific innovation is reflected in her portfolio of 9 patents, 2 consultancy projects, and 1 published book, demonstrating both academic depth and industrial relevance. Her research impact is evidenced by 2,220 citations from 1,977 documents, 43 publications, and an h-index of 26, highlighting her strong international influence in the field. As a Young Editorial Board Member for several high-impact journals, including Nano-Micro Letters, Research, and Water Purification Technology, she actively shapes scholarly communication in environmental science. A recognized Tang Aoqing Young Scholar and Young Growth Science and Technology Talent of Jilin Province, Dr. Jingjing Jiang continues to mentor future scientists and foster cross-disciplinary collaboration. Her leadership, innovation, and academic excellence exemplify her as an emerging global authority in environmental engineering and a deserving candidate for the Best Researcher Award. Profiles: Scopus | Researchgate
Dr. Jingjing Jiang of Jilin University is a distinguished environmental scientist whose research advances the understanding and application of transmembrane ion transport for wastewater treatment. With over 49 publications in SCI and Scopus-indexed journals, her work contributes significantly to sustainable environmental engineering and innovative water purification technologies. She has completed more than 15 research projects and participated in national collaborations supported by the National Natural Science Foundation of China, leading impactful research outcomes recognized through prestigious honors such as the Jilin Provincial Natural Science Award and the Ogano Award. Dr. Jingjing Jiang commitment to scientific innovation is reflected in her portfolio of 9 patents, 2 consultancy projects, and 1 published book, demonstrating both academic depth and industrial relevance. Her research impact is evidenced by 2,220 citations from 1,977 documents, 43 publications, and an h-index of 26, highlighting her strong international influence in the field. As a Young Editorial Board Member for several high-impact journals, including Nano-Micro Letters, Research, and Water Purification Technology, she actively shapes scholarly communication in environmental science. A recognized Tang Aoqing Young Scholar and Young Growth Science and Technology Talent of Jilin Province, Dr. Jingjing Jiang continues to mentor future scientists and foster cross-disciplinary collaboration. Her leadership, innovation, and academic excellence exemplify her as an emerging global authority in environmental engineering and a deserving candidate for the Best Researcher Award. Profiles: Scopus | Researchgate
Dr. Jingjing Jiang of Jilin University is a distinguished environmental scientist whose research advances the understanding and application of transmembrane ion transport for wastewater treatment. With over 49 publications in SCI and Scopus-indexed journals, her work contributes significantly to sustainable environmental engineering and innovative water purification technologies. She has completed more than 15 research projects and participated in national collaborations supported by the National Natural Science Foundation of China, leading impactful research outcomes recognized through prestigious honors such as the Jilin Provincial Natural Science Award and the Ogano Award. Dr. Jingjing Jiang commitment to scientific innovation is reflected in her portfolio of 9 patents, 2 consultancy projects, and 1 published book, demonstrating both academic depth and industrial relevance. Her research impact is evidenced by 2,220 citations from 1,977 documents, 43 publications, and an h-index of 26, highlighting her strong international influence in the field. As a Young Editorial Board Member for several high-impact journals, including Nano-Micro Letters, Research, and Water Purification Technology, she actively shapes scholarly communication in environmental science. A recognized Tang Aoqing Young Scholar and Young Growth Science and Technology Talent of Jilin Province, Dr. Jingjing Jiang continues to mentor future scientists and foster cross-disciplinary collaboration. Her leadership, innovation, and academic excellence exemplify her as an emerging global authority in environmental engineering and a deserving candidate for the Best Researcher Award. Profiles: Scopus | Researchgate
Dr. Jingjing Jiang of Jilin University is a distinguished environmental scientist whose research advances the understanding and application of transmembrane ion transport for wastewater treatment. With over 49 publications in SCI and Scopus-indexed journals, her work contributes significantly to sustainable environmental engineering and innovative water purification technologies. She has completed more than 15 research projects and participated in national collaborations supported by the National Natural Science Foundation of China, leading impactful research outcomes recognized through prestigious honors such as the Jilin Provincial Natural Science Award and the Ogano Award. Dr. Jingjing Jiang commitment to scientific innovation is reflected in her portfolio of 9 patents, 2 consultancy projects, and 1 published book, demonstrating both academic depth and industrial relevance. Her research impact is evidenced by 2,220 citations from 1,977 documents, 43 publications, and an h-index of 26, highlighting her strong international influence in the field. As a Young Editorial Board Member for several high-impact journals, including Nano-Micro Letters, Research, and Water Purification Technology, she actively shapes scholarly communication in environmental science. A recognized Tang Aoqing Young Scholar and Young Growth Science and Technology Talent of Jilin Province, Dr. Jingjing Jiang continues to mentor future scientists and foster cross-disciplinary collaboration. Her leadership, innovation, and academic excellence exemplify her as an emerging global authority in environmental engineering and a deserving candidate for the Best Researcher Award. Profiles: Scopus | Researchgate
Dr. Jingjing Jiang of Jilin University is a distinguished environmental scientist whose research advances the understanding and application of transmembrane ion transport for wastewater treatment. With over 49 publications in SCI and Scopus-indexed journals, her work contributes significantly to sustainable environmental engineering and innovative water purification technologies. She has completed more than 15 research projects and participated in national collaborations supported by the National Natural Science Foundation of China, leading impactful research outcomes recognized through prestigious honors such as the Jilin Provincial Natural Science Award and the Ogano Award. Dr. Jingjing Jiang commitment to scientific innovation is reflected in her portfolio of 9 patents, 2 consultancy projects, and 1 published book, demonstrating both academic depth and industrial relevance. Her research impact is evidenced by 2,220 citations from 1,977 documents, 43 publications, and an h-index of 26, highlighting her strong international influence in the field. As a Young Editorial Board Member for several high-impact journals, including Nano-Micro Letters, Research, and Water Purification Technology, she actively shapes scholarly communication in environmental science. A recognized Tang Aoqing Young Scholar and Young Growth Science and Technology Talent of Jilin Province, Dr. Jingjing Jiang continues to mentor future scientists and foster cross-disciplinary collaboration. Her leadership, innovation, and academic excellence exemplify her as an emerging global authority in environmental engineering and a deserving candidate for the Best Researcher Award. Profiles: Scopus | Researchgate
Dr. Jingjing Jiang of Jilin University is a distinguished environmental scientist whose research advances the understanding and application of transmembrane ion transport for wastewater treatment. With over 49 publications in SCI and Scopus-indexed journals, her work contributes significantly to sustainable environmental engineering and innovative water purification technologies. She has completed more than 15 research projects and participated in national collaborations supported by the National Natural Science Foundation of China, leading impactful research outcomes recognized through prestigious honors such as the Jilin Provincial Natural Science Award and the Ogano Award. Dr. Jingjing Jiang commitment to scientific innovation is reflected in her portfolio of 9 patents, 2 consultancy projects, and 1 published book, demonstrating both academic depth and industrial relevance. Her research impact is evidenced by 2,220 citations from 1,977 documents, 43 publications, and an h-index of 26, highlighting her strong international influence in the field. As a Young Editorial Board Member for several high-impact journals, including Nano-Micro Letters, Research, and Water Purification Technology, she actively shapes scholarly communication in environmental science. A recognized Tang Aoqing Young Scholar and Young Growth Science and Technology Talent of Jilin Province, Dr. Jingjing Jiang continues to mentor future scientists and foster cross-disciplinary collaboration. Her leadership, innovation, and academic excellence exemplify her as an emerging global authority in environmental engineering and a deserving candidate for the Best Researcher Award. Profiles: Scopus | Researchgate
Dr. Jingjing Jiang of Jilin University is a distinguished environmental scientist whose research advances the understanding and application of transmembrane ion transport for wastewater treatment. With over 49 publications in SCI and Scopus-indexed journals, her work contributes significantly to sustainable environmental engineering and innovative water purification technologies. She has completed more than 15 research projects and participated in national collaborations supported by the National Natural Science Foundation of China, leading impactful research outcomes recognized through prestigious honors such as the Jilin Provincial Natural Science Award and the Ogano Award. Dr. Jingjing Jiang commitment to scientific innovation is reflected in her portfolio of 9 patents, 2 consultancy projects, and 1 published book, demonstrating both academic depth and industrial relevance. Her research impact is evidenced by 2,220 citations from 1,977 documents, 43 publications, and an h-index of 26, highlighting her strong international influence in the field. As a Young Editorial Board Member for several high-impact journals, including Nano-Micro Letters, Research, and Water Purification Technology, she actively shapes scholarly communication in environmental science. A recognized Tang Aoqing Young Scholar and Young Growth Science and Technology Talent of Jilin Province, Dr. Jingjing Jiang continues to mentor future scientists and foster cross-disciplinary collaboration. Her leadership, innovation, and academic excellence exemplify her as an emerging global authority in environmental engineering and a deserving candidate for the Best Researcher Award. Profiles: Scopus | Researchgate
Dr. Jingjing Jiang of Jilin University is a distinguished environmental scientist whose research advances the understanding and application of transmembrane ion transport for wastewater treatment. With over 49 publications in SCI and Scopus-indexed journals, her work contributes significantly to sustainable environmental engineering and innovative water purification technologies. She has completed more than 15 research projects and participated in national collaborations supported by the National Natural Science Foundation of China, leading impactful research outcomes recognized through prestigious honors such as the Jilin Provincial Natural Science Award and the Ogano Award. Dr. Jingjing Jiang commitment to scientific innovation is reflected in her portfolio of 9 patents, 2 consultancy projects, and 1 published book, demonstrating both academic depth and industrial relevance. Her research impact is evidenced by 2,220 citations from 1,977 documents, 43 publications, and an h-index of 26, highlighting her strong international influence in the field. As a Young Editorial Board Member for several high-impact journals, including Nano-Micro Letters, Research, and Water Purification Technology, she actively shapes scholarly communication in environmental science. A recognized Tang Aoqing Young Scholar and Young Growth Science and Technology Talent of Jilin Province, Dr. Jingjing Jiang continues to mentor future scientists and foster cross-disciplinary collaboration. Her leadership, innovation, and academic excellence exemplify her as an emerging global authority in environmental engineering and a deserving candidate for the Best Researcher Award. Profiles: Scopus | Researchgate
Dr. Jingjing Jiang of Jilin University is a distinguished environmental scientist whose research advances the understanding and application of transmembrane ion transport for wastewater treatment. With over 49 publications in SCI and Scopus-indexed journals, her work contributes significantly to sustainable environmental engineering and innovative water purification technologies. She has completed more than 15 research projects and participated in national collaborations supported by the National Natural Science Foundation of China, leading impactful research outcomes recognized through prestigious honors such as the Jilin Provincial Natural Science Award and the Ogano Award. Dr. Jingjing Jiang commitment to scientific innovation is reflected in her portfolio of 9 patents, 2 consultancy projects, and 1 published book, demonstrating both academic depth and industrial relevance. Her research impact is evidenced by 2,220 citations from 1,977 documents, 43 publications, and an h-index of 26, highlighting her strong international influence in the field. As a Young Editorial Board Member for several high-impact journals, including Nano-Micro Letters, Research, and Water Purification Technology, she actively shapes scholarly communication in environmental science. A recognized Tang Aoqing Young Scholar and Young Growth Science and Technology Talent of Jilin Province, Dr. Jingjing Jiang continues to mentor future scientists and foster cross-disciplinary collaboration. Her leadership, innovation, and academic excellence exemplify her as an emerging global authority in environmental engineering and a deserving candidate for the Best Researcher Award. Profiles: Scopus | Researchgate
Dr. Jingjing Jiang of Jilin University is a distinguished environmental scientist whose research advances the understanding and application of transmembrane ion transport for wastewater treatment. With over 49 publications in SCI and Scopus-indexed journals, her work contributes significantly to sustainable environmental engineering and innovative water purification technologies. She has completed more than 15 research projects and participated in national collaborations supported by the National Natural Science Foundation of China, leading impactful research outcomes recognized through prestigious honors such as the Jilin Provincial Natural Science Award and the Ogano Award. Dr. Jingjing Jiang commitment to scientific innovation is reflected in her portfolio of 9 patents, 2 consultancy projects, and 1 published book, demonstrating both academic depth and industrial relevance. Her research impact is evidenced by 2,220 citations from 1,977 documents, 43 publications, and an h-index of 26, highlighting her strong international influence in the field. As a Young Editorial Board Member for several high-impact journals, including Nano-Micro Letters, Research, and Water Purification Technology, she actively shapes scholarly communication in environmental science. A recognized Tang Aoqing Young Scholar and Young Growth Science and Technology Talent of Jilin Province, Dr. Jingjing Jiang continues to mentor future scientists and foster cross-disciplinary collaboration. Her leadership, innovation, and academic excellence exemplify her as an emerging global authority in environmental engineering and a deserving candidate for the Best Researcher Award. Profiles: Scopus | Researchgate
Dr. Jingjing Jiang of Jilin University is a distinguished environmental scientist whose research advances the understanding and application of transmembrane ion transport for wastewater treatment. With over 49 publications in SCI and Scopus-indexed journals, her work contributes significantly to sustainable environmental engineering and innovative water purification technologies. She has completed more than 15 research projects and participated in national collaborations supported by the National Natural Science Foundation of China, leading impactful research outcomes recognized through prestigious honors such as the Jilin Provincial Natural Science Award and the Ogano Award. Dr. Jingjing Jiang commitment to scientific innovation is reflected in her portfolio of 9 patents, 2 consultancy projects, and 1 published book, demonstrating both academic depth and industrial relevance. Her research impact is evidenced by 2,220 citations from 1,977 documents, 43 publications, and an h-index of 26, highlighting her strong international influence in the field. As a Young Editorial Board Member for several high-impact journals, including Nano-Micro Letters, Research, and Water Purification Technology, she actively shapes scholarly communication in environmental science. A recognized Tang Aoqing Young Scholar and Young Growth Science and Technology Talent of Jilin Province, Dr. Jingjing Jiang continues to mentor future scientists and foster cross-disciplinary collaboration. Her leadership, innovation, and academic excellence exemplify her as an emerging global authority in environmental engineering and a deserving candidate for the Best Researcher Award. Profiles: Scopus | Researchgate
Dr. Jingjing Jiang of Jilin University is a distinguished environmental scientist whose research advances the understanding and application of transmembrane ion transport for wastewater treatment. With over 49 publications in SCI and Scopus-indexed journals, her work contributes significantly to sustainable environmental engineering and innovative water purification technologies. She has completed more than 15 research projects and participated in national collaborations supported by the National Natural Science Foundation of China, leading impactful research outcomes recognized through prestigious honors such as the Jilin Provincial Natural Science Award and the Ogano Award. Dr. Jingjing Jiang commitment to scientific innovation is reflected in her portfolio of 9 patents, 2 consultancy projects, and 1 published book, demonstrating both academic depth and industrial relevance. Her research impact is evidenced by 2,220 citations from 1,977 documents, 43 publications, and an h-index of 26, highlighting her strong international influence in the field. As a Young Editorial Board Member for several high-impact journals, including Nano-Micro Letters, Research, and Water Purification Technology, she actively shapes scholarly communication in environmental science. A recognized Tang Aoqing Young Scholar and Young Growth Science and Technology Talent of Jilin Province, Dr. Jingjing Jiang continues to mentor future scientists and foster cross-disciplinary collaboration. Her leadership, innovation, and academic excellence exemplify her as an emerging global authority in environmental engineering and a deserving candidate for the Best Researcher Award. Profiles: Scopus | Researchgate
Dr. Jingjing Jiang of Jilin University is a distinguished environmental scientist whose research advances the understanding and application of transmembrane ion transport for wastewater treatment. With over 49 publications in SCI and Scopus-indexed journals, her work contributes significantly to sustainable environmental engineering and innovative water purification technologies. She has completed more than 15 research projects and participated in national collaborations supported by the National Natural Science Foundation of China, leading impactful research outcomes recognized through prestigious honors such as the Jilin Provincial Natural Science Award and the Ogano Award. Dr. Jingjing Jiang commitment to scientific innovation is reflected in her portfolio of 9 patents, 2 consultancy projects, and 1 published book, demonstrating both academic depth and industrial relevance. Her research impact is evidenced by 2,220 citations from 1,977 documents, 43 publications, and an h-index of 26, highlighting her strong international influence in the field. As a Young Editorial Board Member for several high-impact journals, including Nano-Micro Letters, Research, and Water Purification Technology, she actively shapes scholarly communication in environmental science. A recognized Tang Aoqing Young Scholar and Young Growth Science and Technology Talent of Jilin Province, Dr. Jingjing Jiang continues to mentor future scientists and foster cross-disciplinary collaboration. Her leadership, innovation, and academic excellence exemplify her as an emerging global authority in environmental engineering and a deserving candidate for the Best Researcher Award. Profiles: Scopus | Researchgate
Featured Publications Jiang, J., Zhang, Y., Liu, Y., & Dong, S. (2025, March). Selective activation of peroxymonosulfate through gating heteronuclear diatomic distance for flexible generation of high-valent cobalt-oxo species or sulfate radicals. Sun, T., Liu, Y., Li, J., & Dong, S. (2025, March). Radical and nonradical cocatalysis induced by asymmetric medium-spin cobalt single atom for water decontamination. Jiang, J., Liu, S., Zhao, B., & Dong, S. (2025, February). Angstrom confinement-triggered adaptive spin state transition of CoMn dual single atoms for efficient singlet oxygen generation. Zhao, Z., Jiang, J., Zhou, D., & Dong, S. (2025, January). Microalgal-based urea wastewater treatment with p-hydroxybenzoic acid enhances resource recovery and mitigates biological risks from bisphenol A. Liu, Y., Jiang, J., Li, T., & Dong, S. (2024, December). Tuning charge distribution for synergistic enhancement of internal electric field in BiOCl via phosphorus–vanadium dual-doping.
Featured Publications Jiang, J., Zhang, Y., Liu, Y., & Dong, S. (2025, March). Selective activation of peroxymonosulfate through gating heteronuclear diatomic distance for flexible generation of high-valent cobalt-oxo species or sulfate radicals. Sun, T., Liu, Y., Li, J., & Dong, S. (2025, March). Radical and nonradical cocatalysis induced by asymmetric medium-spin cobalt single atom for water decontamination. Jiang, J., Liu, S., Zhao, B., & Dong, S. (2025, February). Angstrom confinement-triggered adaptive spin state transition of CoMn dual single atoms for efficient singlet oxygen generation. Zhao, Z., Jiang, J., Zhou, D., & Dong, S. (2025, January). Microalgal-based urea wastewater treatment with p-hydroxybenzoic acid enhances resource recovery and mitigates biological risks from bisphenol A. Liu, Y., Jiang, J., Li, T., & Dong, S. (2024, December). Tuning charge distribution for synergistic enhancement of internal electric field in BiOCl via phosphorus–vanadium dual-doping.
Featured Publications Jiang, J., Zhang, Y., Liu, Y., & Dong, S. (2025, March). Selective activation of peroxymonosulfate through gating heteronuclear diatomic distance for flexible generation of high-valent cobalt-oxo species or sulfate radicals. Sun, T., Liu, Y., Li, J., & Dong, S. (2025, March). Radical and nonradical cocatalysis induced by asymmetric medium-spin cobalt single atom for water decontamination. Jiang, J., Liu, S., Zhao, B., & Dong, S. (2025, February). Angstrom confinement-triggered adaptive spin state transition of CoMn dual single atoms for efficient singlet oxygen generation. Zhao, Z., Jiang, J., Zhou, D., & Dong, S. (2025, January). Microalgal-based urea wastewater treatment with p-hydroxybenzoic acid enhances resource recovery and mitigates biological risks from bisphenol A. Liu, Y., Jiang, J., Li, T., & Dong, S. (2024, December). Tuning charge distribution for synergistic enhancement of internal electric field in BiOCl via phosphorus–vanadium dual-doping.
Featured Publications Jiang, J., Zhang, Y., Liu, Y., & Dong, S. (2025, March). Selective activation of peroxymonosulfate through gating heteronuclear diatomic distance for flexible generation of high-valent cobalt-oxo species or sulfate radicals. Sun, T., Liu, Y., Li, J., & Dong, S. (2025, March). Radical and nonradical cocatalysis induced by asymmetric medium-spin cobalt single atom for water decontamination. Jiang, J., Liu, S., Zhao, B., & Dong, S. (2025, February). Angstrom confinement-triggered adaptive spin state transition of CoMn dual single atoms for efficient singlet oxygen generation. Zhao, Z., Jiang, J., Zhou, D., & Dong, S. (2025, January). Microalgal-based urea wastewater treatment with p-hydroxybenzoic acid enhances resource recovery and mitigates biological risks from bisphenol A. Liu, Y., Jiang, J., Li, T., & Dong, S. (2024, December). Tuning charge distribution for synergistic enhancement of internal electric field in BiOCl via phosphorus–vanadium dual-doping.
Featured Publications Jiang, J., Zhang, Y., Liu, Y., & Dong, S. (2025, March). Selective activation of peroxymonosulfate through gating heteronuclear diatomic distance for flexible generation of high-valent cobalt-oxo species or sulfate radicals. Sun, T., Liu, Y., Li, J., & Dong, S. (2025, March). Radical and nonradical cocatalysis induced by asymmetric medium-spin cobalt single atom for water decontamination. Jiang, J., Liu, S., Zhao, B., & Dong, S. (2025, February). Angstrom confinement-triggered adaptive spin state transition of CoMn dual single atoms for efficient singlet oxygen generation. Zhao, Z., Jiang, J., Zhou, D., & Dong, S. (2025, January). Microalgal-based urea wastewater treatment with p-hydroxybenzoic acid enhances resource recovery and mitigates biological risks from bisphenol A. Liu, Y., Jiang, J., Li, T., & Dong, S. (2024, December). Tuning charge distribution for synergistic enhancement of internal electric field in BiOCl via phosphorus–vanadium dual-doping.
Featured Publications Jiang, J., Zhang, Y., Liu, Y., & Dong, S. (2025, March). Selective activation of peroxymonosulfate through gating heteronuclear diatomic distance for flexible generation of high-valent cobalt-oxo species or sulfate radicals. Sun, T., Liu, Y., Li, J., & Dong, S. (2025, March). Radical and nonradical cocatalysis induced by asymmetric medium-spin cobalt single atom for water decontamination. Jiang, J., Liu, S., Zhao, B., & Dong, S. (2025, February). Angstrom confinement-triggered adaptive spin state transition of CoMn dual single atoms for efficient singlet oxygen generation. Zhao, Z., Jiang, J., Zhou, D., & Dong, S. (2025, January). Microalgal-based urea wastewater treatment with p-hydroxybenzoic acid enhances resource recovery and mitigates biological risks from bisphenol A. Liu, Y., Jiang, J., Li, T., & Dong, S. (2024, December). Tuning charge distribution for synergistic enhancement of internal electric field in BiOCl via phosphorus–vanadium dual-doping.
Featured Publications Jiang, J., Zhang, Y., Liu, Y., & Dong, S. (2025, March). Selective activation of peroxymonosulfate through gating heteronuclear diatomic distance for flexible generation of high-valent cobalt-oxo species or sulfate radicals. Sun, T., Liu, Y., Li, J., & Dong, S. (2025, March). Radical and nonradical cocatalysis induced by asymmetric medium-spin cobalt single atom for water decontamination. Jiang, J., Liu, S., Zhao, B., & Dong, S. (2025, February). Angstrom confinement-triggered adaptive spin state transition of CoMn dual single atoms for efficient singlet oxygen generation. Zhao, Z., Jiang, J., Zhou, D., & Dong, S. (2025, January). Microalgal-based urea wastewater treatment with p-hydroxybenzoic acid enhances resource recovery and mitigates biological risks from bisphenol A. Liu, Y., Jiang, J., Li, T., & Dong, S. (2024, December). Tuning charge distribution for synergistic enhancement of internal electric field in BiOCl via phosphorus–vanadium dual-doping.
Featured Publications Jiang, J., Zhang, Y., Liu, Y., & Dong, S. (2025, March). Selective activation of peroxymonosulfate through gating heteronuclear diatomic distance for flexible generation of high-valent cobalt-oxo species or sulfate radicals. Sun, T., Liu, Y., Li, J., & Dong, S. (2025, March). Radical and nonradical cocatalysis induced by asymmetric medium-spin cobalt single atom for water decontamination. Jiang, J., Liu, S., Zhao, B., & Dong, S. (2025, February). Angstrom confinement-triggered adaptive spin state transition of CoMn dual single atoms for efficient singlet oxygen generation. Zhao, Z., Jiang, J., Zhou, D., & Dong, S. (2025, January). Microalgal-based urea wastewater treatment with p-hydroxybenzoic acid enhances resource recovery and mitigates biological risks from bisphenol A. Liu, Y., Jiang, J., Li, T., & Dong, S. (2024, December). Tuning charge distribution for synergistic enhancement of internal electric field in BiOCl via phosphorus–vanadium dual-doping.
Featured Publications Jiang, J., Zhang, Y., Liu, Y., & Dong, S. (2025, March). Selective activation of peroxymonosulfate through gating heteronuclear diatomic distance for flexible generation of high-valent cobalt-oxo species or sulfate radicals. Sun, T., Liu, Y., Li, J., & Dong, S. (2025, March). Radical and nonradical cocatalysis induced by asymmetric medium-spin cobalt single atom for water decontamination. Jiang, J., Liu, S., Zhao, B., & Dong, S. (2025, February). Angstrom confinement-triggered adaptive spin state transition of CoMn dual single atoms for efficient singlet oxygen generation. Zhao, Z., Jiang, J., Zhou, D., & Dong, S. (2025, January). Microalgal-based urea wastewater treatment with p-hydroxybenzoic acid enhances resource recovery and mitigates biological risks from bisphenol A. Liu, Y., Jiang, J., Li, T., & Dong, S. (2024, December). Tuning charge distribution for synergistic enhancement of internal electric field in BiOCl via phosphorus–vanadium dual-doping.
Featured Publications Jiang, J., Zhang, Y., Liu, Y., & Dong, S. (2025, March). Selective activation of peroxymonosulfate through gating heteronuclear diatomic distance for flexible generation of high-valent cobalt-oxo species or sulfate radicals. Sun, T., Liu, Y., Li, J., & Dong, S. (2025, March). Radical and nonradical cocatalysis induced by asymmetric medium-spin cobalt single atom for water decontamination. Jiang, J., Liu, S., Zhao, B., & Dong, S. (2025, February). Angstrom confinement-triggered adaptive spin state transition of CoMn dual single atoms for efficient singlet oxygen generation. Zhao, Z., Jiang, J., Zhou, D., & Dong, S. (2025, January). Microalgal-based urea wastewater treatment with p-hydroxybenzoic acid enhances resource recovery and mitigates biological risks from bisphenol A. Liu, Y., Jiang, J., Li, T., & Dong, S. (2024, December). Tuning charge distribution for synergistic enhancement of internal electric field in BiOCl via phosphorus–vanadium dual-doping.
Featured Publications Jiang, J., Zhang, Y., Liu, Y., & Dong, S. (2025, March). Selective activation of peroxymonosulfate through gating heteronuclear diatomic distance for flexible generation of high-valent cobalt-oxo species or sulfate radicals. Sun, T., Liu, Y., Li, J., & Dong, S. (2025, March). Radical and nonradical cocatalysis induced by asymmetric medium-spin cobalt single atom for water decontamination. Jiang, J., Liu, S., Zhao, B., & Dong, S. (2025, February). Angstrom confinement-triggered adaptive spin state transition of CoMn dual single atoms for efficient singlet oxygen generation. Zhao, Z., Jiang, J., Zhou, D., & Dong, S. (2025, January). Microalgal-based urea wastewater treatment with p-hydroxybenzoic acid enhances resource recovery and mitigates biological risks from bisphenol A. Liu, Y., Jiang, J., Li, T., & Dong, S. (2024, December). Tuning charge distribution for synergistic enhancement of internal electric field in BiOCl via phosphorus–vanadium dual-doping.
Jiang, J., Zhang, Y., Liu, Y., & Dong, S. (2025, March). Selective activation of peroxymonosulfate through gating heteronuclear diatomic distance for flexible generation of high-valent cobalt-oxo species or sulfate radicals. Sun, T., Liu, Y., Li, J., & Dong, S. (2025, March). Radical and nonradical cocatalysis induced by asymmetric medium-spin cobalt single atom for water decontamination. Jiang, J., Liu, S., Zhao, B., & Dong, S. (2025, February). Angstrom confinement-triggered adaptive spin state transition of CoMn dual single atoms for efficient singlet oxygen generation. Zhao, Z., Jiang, J., Zhou, D., & Dong, S. (2025, January). Microalgal-based urea wastewater treatment with p-hydroxybenzoic acid enhances resource recovery and mitigates biological risks from bisphenol A. Liu, Y., Jiang, J., Li, T., & Dong, S. (2024, December). Tuning charge distribution for synergistic enhancement of internal electric field in BiOCl via phosphorus–vanadium dual-doping.
Jiang, J., Zhang, Y., Liu, Y., & Dong, S. (2025, March). Selective activation of peroxymonosulfate through gating heteronuclear diatomic distance for flexible generation of high-valent cobalt-oxo species or sulfate radicals. Sun, T., Liu, Y., Li, J., & Dong, S. (2025, March). Radical and nonradical cocatalysis induced by asymmetric medium-spin cobalt single atom for water decontamination. Jiang, J., Liu, S., Zhao, B., & Dong, S. (2025, February). Angstrom confinement-triggered adaptive spin state transition of CoMn dual single atoms for efficient singlet oxygen generation. Zhao, Z., Jiang, J., Zhou, D., & Dong, S. (2025, January). Microalgal-based urea wastewater treatment with p-hydroxybenzoic acid enhances resource recovery and mitigates biological risks from bisphenol A. Liu, Y., Jiang, J., Li, T., & Dong, S. (2024, December). Tuning charge distribution for synergistic enhancement of internal electric field in BiOCl via phosphorus–vanadium dual-doping.
Jiang, J., Zhang, Y., Liu, Y., & Dong, S. (2025, March). Selective activation of peroxymonosulfate through gating heteronuclear diatomic distance for flexible generation of high-valent cobalt-oxo species or sulfate radicals. Sun, T., Liu, Y., Li, J., & Dong, S. (2025, March). Radical and nonradical cocatalysis induced by asymmetric medium-spin cobalt single atom for water decontamination. Jiang, J., Liu, S., Zhao, B., & Dong, S. (2025, February). Angstrom confinement-triggered adaptive spin state transition of CoMn dual single atoms for efficient singlet oxygen generation. Zhao, Z., Jiang, J., Zhou, D., & Dong, S. (2025, January). Microalgal-based urea wastewater treatment with p-hydroxybenzoic acid enhances resource recovery and mitigates biological risks from bisphenol A. Liu, Y., Jiang, J., Li, T., & Dong, S. (2024, December). Tuning charge distribution for synergistic enhancement of internal electric field in BiOCl via phosphorus–vanadium dual-doping.
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.