Rentsenduger Boldbayar | Ecology | Best Researcher Award

Posted on by Natural Scientist Awards

Mr. Rentsenduger Boldbayar | Ecology | Best Researcher Award

Mr. Rentsenduger Boldbayar at University of Chinese Academy of Sciences, China

Boldbayar Rentsenduger is a dedicated researcher specializing in Geography, GIS, Remote Sensing, and Ecology. Currently pursuing his PhD at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, he has previously served at the Mongolian Academy of Sciences. His academic background includes a Master’s from Inner Mongolia Normal University and a Bachelor’s degree from the National University of Mongolia. His research focuses on climate change, environmental monitoring, nature-society interactions, and spatial analysis. With several recent publications in international journals, he contributes valuable insights into ecological systems and sustainable resource management. 🌍

📌Professional Profile

Orcid

🎓Academic Background

Boldbayar Rentsenduger holds a strong academic foundation in geography and environmental sciences. He earned his Bachelor’s degree in Geography from the National University of Mongolia in 2011. Building on this, he completed his Master’s degree at Inner Mongolia Normal University in 2017, where he focused on geographical information systems and ecological studies. Currently, he is pursuing a PhD in Ecology and GIS at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences in Beijing. His educational journey reflects a consistent focus on integrating geospatial analysis with ecological and environmental research. 📘

💼Professional Experience

Boldbayar Rentsenduger has accumulated over a decade of professional experience in the fields of geography, GIS, and ecology. From 2011 to 2023, he worked at the Division of GIS and Cartography, Institute of Geography and Geoecology, Mongolian Academy of Sciences, where he contributed to several national and regional environmental projects. Since 2023, he has been affiliated with the Key Laboratory of Ecosystem Network Observation and Modeling at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. His work emphasizes spatial analysis, remote sensing, and the environmental impact of climate change. 🗺️

🏅Awards and Honors

Boldbayar Rentsenduger’s recognition in the scientific community is evident through his collaborative research and publications in reputable international journals. His co-authored works in Sustainability, Sensors, Climate Research, and Turczaninowia highlight his growing influence in the fields of ecology and GIS. His role in interdisciplinary projects and international collaborations with institutions in China and Mongolia reflects academic merit and professional respect. His ongoing PhD research at the Chinese Academy of Sciences further supports his position as an emerging leader in ecological and geographic research. 🌱

🔬Research Focus

Boldbayar Rentsenduger’s research centers on the integration of geography, GIS, remote sensing, and ecology to understand environmental and climate dynamics. His work emphasizes the spatial and temporal analysis of ecosystems, particularly grasslands and lakes in Mongolia, assessing their responses to climate change. He also explores water use efficiency, biodiversity, and nature-society interactions using advanced geospatial technologies. Through his publications and collaborations, he contributes to sustainable resource management and ecological monitoring in fragile environments. His interdisciplinary approach bridges physical geography with ecological modeling, offering insights that support policy-making and regional environmental planning. 📡

📖Publication Top Notes

  • Spatio‑Temporal Variations in Grassland Carrying Capacity Derived from Remote Sensing NPP in Mongolia   2025

  • Water Use Efficiency Spatiotemporal Change and Its Driving Analysis on the Mongolian Plateau — 2025

  • The Genus Equisetum (Equisetaceae) in the Flora of Mongolia — 2025

  • A New Record of Selaginella sibirica (Selaginellaceae) to the Flora of Mongolia — 2024

  • Changes in Morphometric Parameters of Lakes in Different Ecological Zones of Mongolia: Implications of Climate Change — 2024

  • Implication of Climate Change on the Volume of Lakes in the Forest‑Steppe Zone, Central Mongolia — 2024

  • Changes in the Area of Lakes in Different Natural Regions of Mongolia and Climate Effect — 2023

🏆Conclusion

Boldbayar Rentsenduger is a highly accomplished researcher whose work in geography, GIS, remote sensing, and ecology demonstrates both depth and interdisciplinary breadth. With academic roots in Mongolia and China, and ongoing PhD research at the Chinese Academy of Sciences, he has authored multiple high-impact publications between 2023 and 2025, addressing climate change, water efficiency, biodiversity, and ecological monitoring. His ability to integrate spatial technologies with environmental science and social geography highlights his forward-thinking approach. Through consistent scholarly output and international collaboration, he significantly contributes to pressing global environmental challenges, making him an outstanding candidate for the Research for Best Researcher Award.

 

 

Qinsi He | Climate Change | Best Researcher Award

Posted on by Natural Scientist Awards

Dr. Qinsi He | Climate Change | Best Researcher Award

Associate Professor at Inner Mongolia Agricultural University, China

Dr. Qinsi He is an Associate Professor at Inner Mongolia Agricultural University, with a Ph.D. from the University of Technology Sydney and a Master’s from China Agricultural University. Her research explores the impacts of climate change and human activities on agroecosystems through process-based modeling and machine learning. 🌾 She has published 19 papers in reputed journals and collaborated with institutions such as Iowa State University and Peking University. 💡 Her notable work includes contributions to the NSW Climate Change Strategy and the NSF CAREER program, earning recognition for advancing sustainable agricultural practices through innovative, AI-driven approaches. 🌍

🏷️Professional Profile

Orcid

Scopus

🎓Academic Background

Dr. Qinsi He holds a strong academic foundation in agricultural and environmental sciences. She earned her Ph.D. from the University of Technology Sydney in Australia, where she specialized in climate change impacts on agroecosystems. Prior to that, she completed her Master’s degree at China Agricultural University, one of the leading institutions in agricultural research in China. Her education has equipped her with interdisciplinary expertise, blending environmental science, data analytics, and sustainable agriculture. 📘 Through her academic journey, she developed a solid background in process-based modeling and AI-driven research, forming the basis for her impactful contributions to global sustainability challenges.

💼Professional Experience

Dr. Qinsi He currently serves as an Associate Professor at Inner Mongolia Agricultural University, where she leads research on sustainable agroecosystems. From 2022 to 2023, she worked as a Professional Officer in Climate Research under the NSW Primary Industries Climate Change Research Strategy, publishing three significant papers. 🌍 In 2023–2024, she contributed as an AI-based modeller for the NSF CAREER (1945036) program at the Iowa Nutrient Research Center. Her work integrates climate science, machine learning, and agricultural sustainability. She maintains active collaborations with top institutions such as Iowa State University and Peking University, enhancing global research impact.

🔬Research Focus

Dr. Qinsi He’s research is centered on understanding the effects of climate change and human management on agroecosystems. She employs a combination of process-based modeling and artificial intelligence techniques to explore sustainable agricultural practices. 🌾 Her work aims to develop nature-based solutions that promote long-term ecosystem health and productivity. Key research areas include soil organic carbon dynamics, AI-based data mining, and the development of integrated models for food-energy-water-carbon nexus analysis. By addressing global sustainability challenges, her research contributes to the advancement of resilient and adaptive agricultural systems in the face of environmental and climatic uncertainties.

📝Publication Top Notes

Knowledge-guided machine learning for improving crop yield projections of waterlogging effects under climate change
📅 2025 | Resources Environment and Sustainability | Cited by: 6

The lag response time of reference evapotranspiration to VPD and air temperature is influenced by both climate and vegetation: Evidence from Inner Mongolia, China
📅 2024 | Preprint

Modelling interactions between cowpea cover crops and residue retention in Australian dryland cropping systems under climate change
📅 2023 | Agriculture, Ecosystems & Environment

Nutrients and temperature additively enhance wood carbon fluxes
📅 2023 | Preprint

Identifying effective agricultural management practices for climate change adaptation and mitigation: A win-win strategy in South-Eastern Australia
📅 2022 | Agricultural Systems

🏆Conclusion

Dr. Qinsi He is an accomplished Associate Professor at Inner Mongolia Agricultural University with a Ph.D. from the University of Technology Sydney and a Master’s from China Agricultural University. Her research integrates climate change impact analysis, sustainable agroecosystem development, AI-based data mining, and process-based modeling. With 19 peer-reviewed publications in SCI and Scopus-indexed journals and notable citation impact—including 21 citations for a single paper in one year—she has demonstrated significant research influence. Dr. He has collaborated with esteemed institutions such as Iowa State University, Peking University, and the University of Western Australia, and has played key roles in major international projects like the NSF CAREER and NSW Climate Change Strategy. Her interdisciplinary expertise and contributions to climate-agriculture integration establish her as a highly deserving candidate for the Best Researcher Award.