Yunxiao Li | Water Carbon Cycling | Best Researcher Award

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Dr. Yunxiao Li | Water Carbon Cycling | Best Researcher Award

Associate Professor, Shanxi Agricultural University, China

Yunxiao Li is an esteemed Associate Professor at Shanxi Agricultural University, with a specialization in environmental science and a focus on river carbon cycling. With a Ph.D. in environmental science from Ocean University of China, he has dedicated his research to understanding the intricate dynamics of water carbonate systems. His work spans critical regions in China, including Jiaozhou Bay, Yellow River, and Fenhe River. Dr. Li’s contributions to environmental science have been instrumental in uncovering the impacts of ecological restoration and human activities on carbon cycles in coastal and river systems. His interdisciplinary approach has earned him recognition both within China and globally, making him a prominent figure in the field.

Profile

Scopus

 Education🎓

Dr. Yunxiao Li obtained his Doctorate in Environmental Science from Ocean University of China in 2018. During his academic journey, he laid the groundwork for his expertise in coastal and riverine biogeochemistry. His research throughout his doctoral studies focused on understanding carbon dynamics in aquatic ecosystems, particularly in areas impacted by urbanization and ecological changes. This strong educational foundation has propelled him toward groundbreaking research in carbon cycling processes, ecological restoration, and environmental sustainability.

Experience 💼 

Dr. Li has garnered extensive experience in both academic research and applied environmental science. As an Associate Professor at Shanxi Agricultural University, he has contributed significantly to the advancement of knowledge in environmental science. His leadership in research projects, such as water pollution source analysis and ecological restoration in the Fenhe River, showcases his ability to combine academic rigor with practical solutions. Furthermore, Dr. Li has served as a Topic Editor for reputable journals such as Frontiers in Marine Science and Sustainability, where his expertise guides the discussion on critical environmental issues. His involvement in numerous high-impact research projects has cemented his role as a leader in environmental science.

Research Interests🔬

Dr. Yunxiao Li’s research primarily revolves around coastal biogeochemistry and river carbon cycling. His work explores how ecological restoration and anthropogenic factors, such as wastewater discharge, influence carbon dynamics in aquatic environments. By studying the Yellow River, Fenhe River, and Jiaozhou Bay, Dr. Li has gained valuable insights into the control mechanisms of CO₂ fluxes in semi-arid regions. He is also dedicated to understanding how carbon cycles in coastal systems can be altered by both natural processes and human intervention, ultimately aiming to enhance environmental sustainability.

Publications Top Note📚

Wang, G., Yao, X., Zhang, Z., Li, Y., & Fan, W. (2024). “Effect of jujube orchard abandonment time on soil properties and enzyme activities at soil profile in the Loess Plateau.” Scientific Reports.

Li, Y., Dang, J., Huang, X., Bai, J., & Chen, X. (2024). “The response of carbonate system to watershed urbanization process in a semi-arid river.” Journal of Ocean University of China.

Conclusion🌍

Dr. Yunxiao Li’s academic journey and extensive research on river and coastal carbon cycles have positioned him as a leading expert in the field of environmental science. His work in areas like the Jiaozhou Bay and Fenhe River is integral to understanding the effects of human activity on carbon dynamics in aquatic ecosystems. As he continues to innovate in the areas of ecological restoration and environmental sustainability, Dr. Li remains committed to driving meaningful change in the management and preservation of water resources. His leadership in both research and academia ensures that his contributions will have a lasting impact on the field.

Zihao Huang | Forest Carbon Cycle | Best Researcher Award

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Dr. Zihao Huang | Forest Carbon Cycle | Best Researcher Award

Student | Zhejiang A and F Unversity | China

Zihao Huang is currently pursuing a Ph.D. in Forestry at Zhejiang Agriculture & Forest University (ZAFU), focusing on remote sensing, land cover change, carbon cycle dynamics, and machine learning. With a strong academic background in geographic information science and forest management, he has dedicated his research to addressing complex environmental issues through innovative methods. His contributions to understanding forest ecosystems and carbon storage patterns are widely recognized, including a series of impactful publications in renowned journals such as Remote Sensing and IEEE Transactions on Geoscience and Remote Sensing.

Profile

Education

Zihao Huang’s academic journey began at Nanjing Tech University, where he earned his B.S. in Geographic Information Science (2014-2018). His commitment to environmental studies led him to Zhejiang Agriculture & Forest University (ZAFU), where he completed his M.S. in Forest Management in 2021 with high academic distinction (GPA: 3.68/4.0). Currently, as a Ph.D. candidate at ZAFU (expected 2025), he maintains a stellar GPA of 3.87/4.0. Throughout his academic tenure, he has been the recipient of multiple Graduate Studies Scholarships (2018-2022), further cementing his academic excellence.

Experience

Zihao’s extensive research experience has honed his expertise in various critical aspects of forestry and remote sensing. As a Research Assistant at ZAFU (2018-present), he has worked under the mentorship of Dr. Huaqiang Du and collaborated with several experts, contributing to multiple groundbreaking projects. His notable projects include the simulation of land use/land cover (LUCC) changes, estimation of forest age, and the exploration of the effects of forest cover change on above-ground carbon storage. Utilizing advanced techniques like artificial neural networks, random forests, and Google Earth Engine, he has contributed significantly to the understanding of forest dynamics in Zhejiang Province, China.

Research Interests

Zihao Huang’s primary research interests encompass remote sensing, land cover change, carbon cycle dynamics, and machine learning. His work focuses on simulating spatial patterns of land use and land cover change, assessing the impact of climate and human activities on forest ecosystems, and quantifying the carbon storage potential of subtropical forests. By combining satellite imagery, machine learning models, and carbon cycle simulations, his research aims to enhance the accuracy of carbon flux estimates and develop more effective forest management strategies.

Awards

Zihao Huang appears to be an outstanding candidate for the Best Researcher Award based on his extensive academic and research accomplishments. His research spans multiple important and cutting-edge fields such as remote sensing, land cover change, carbon cycle, and machine learning, with a particular focus on environmental and ecological systems in China.

Publications Top Note

Huang, Z., Mao, F., Du, H.*, Li, X. (in preparation). Improving the land cover classification in Zhejiang Province and analyzing the effect of land cover change on above-ground carbon storage.

Huang, Z., Li, X., Du, H.*, Zou, W., Zhou, G., Mao, F. (Minor Revision). An algorithm of forest age estimation based on the forest disturbance and recovery detection. IEEE Transactions on Geoscience and Remote Sensing.

Huang, Z., Du, H.*, Li, X., Mao, F. (2022). Simulating future LUCC by coupling climate change and human effects based on multi-phase remote sensing data. Remote Sensing, 14(7): 1698.

Huang, Z., Du, H.*, Li, X., Zhang, M., Mao, F. (2020). Spatiotemporal LUCC simulation under different RCP scenarios based on the BPNN_CA_Markov model: A case study of bamboo forest in Anji County. ISPRS International Journal of Geo-Information, 9(12): 718.

Mao, F., Du, H.*, Zhou, G., Huang, Z. (2023). Land use and cover in subtropical East Asia and Southeast Asia from 1700 to 2018. Global and Planetary Change, 226: 104157.

Xu, Y., Li, X., Du, H., Mao, F., Zhou, G., Huang, Z. (2023). Improving extraction phenology accuracy using SIF coupled with the vegetation index and mapping the spatiotemporal pattern of bamboo forest phenology. Remote Sensing of Environment, 297: 113785.

Zhang, X., Jiao, H., Chen, G.*, Shen, J., Huang, Z., Luo, H. (2022). Forest damage by super typhoon Rammasun and post-disturbance recovery using Landsat imagery and machine-learning methods. Remote Sensing, 14: 3826.

Conclusion

Zihao Huang’s research trajectory showcases his unwavering commitment to improving the scientific understanding of forest ecosystems and environmental sustainability. His proficiency in integrating machine learning with remote sensing techniques has enabled him to tackle complex issues surrounding land cover changes and carbon cycle dynamics. With numerous publications and a strong academic background, he continues to make significant strides in his field. As he nears the completion of his Ph.D. program, Zihao Huang’s research promises to contribute significantly to the scientific community’s efforts in combating climate change and managing forest resources sustainably.