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.