Farzad Rasouli | Abiotic Stress | Best Researcher Award

Assoc. Prof. Dr. Farzad Rasouli | Abiotic Stress | Best Researcher Award

Researcher | University of Maragheh | Iran

Assoc. Prof. Dr. Farzad Rasouli is a highly accomplished researcher with over a decade of experience in plant physiology, breeding, and sustainable agriculture. His research primarily focuses on understanding the effects of arbuscular mycorrhiza on plant growth under both normal and stress conditions, with the broader goal of enhancing sustainable food production. Dr. Rasouli has authored nearly 60 peer-reviewed publications in high-impact international journals, earning 926 citations across 51 indexed documents and achieving an h-index of 18, which reflects the strong influence and consistency of his scholarly contributions. His expertise spans a wide range of experimental and analytical techniques, including vegetable production, grafting, in vitro culture, and the assessment of biochemical parameters such as photosynthetic pigments, proteins, carbohydrates, MDA, proline, and H₂O₂. He is also highly proficient in data analysis and modeling using R, SAS, SPSS, Minitab, and MSTATC, and has strong familiarity with bioinformatics platforms like Geneious Prime, MEGA11, Cytoscape, and CLC Genomic Workbench. Dr. Rasouli’s innovative research has explored plant responses to environmental stresses, nanomaterial interactions, and the development of biostimulants and nanocomposites for improved crop tolerance and productivity. Notable studies include work on salinity stress in tomato and grape, growth responses in lettuce under mycorrhiza inoculation, and the dual role of carbon nanotubes in plant physiology. Having also reviewed around 100 scientific papers, he actively contributes to advancing scientific rigor and dissemination in the field. His dedication, innovation, and impactful research position him as a leading figure in agricultural and plant science research.

Profile:  Scopus  |  ORCID  |  Google Scholar ResearchGate

Featured Publications

Gohari, G., Safai, F., Panahirad, S., Akbari, A., Rasouli, F., Dadpour, M. R., & Fotopoulos, V. (2020). Modified multiwall carbon nanotubes display either phytotoxic or growth promoting and stress protecting activity in Ocimum basilicum L. in a concentration-dependent manner. Chemosphere, 249, 126171.

Ostadi, A., Javanmard, A., Machiani, M. A., Morshedloo, M. R., Nouraein, M., Rasouli, F., & Maggi, F. (2020). Effect of different fertilizer sources and harvesting time on the growth characteristics, nutrient uptakes, essential oil productivity and composition of Mentha × piperita L. Industrial Crops and Products, 148, 112290.

Aazami, M. A., Rasouli, F., & Ebrahimzadeh, A. (2021). Oxidative damage, antioxidant mechanism and gene expression in tomato responding to salinity stress under in vitro conditions and application of iron and zinc. BMC Plant Biology, 21(1), 597.

Aazami, M. A., Maleki, M., Rasouli, F., & Gohari, G. (2023). Protective effects of chitosan-based salicylic acid nanocomposite (CS-SA NCs) in grape (Vitis vinifera cv. ‘Sultana’) under salinity stress. Scientific Reports, 13(1), 883.

Rasouli, F., Amini, T., Asadi, M., Hassanpouraghdam, M. B., & Aazami, M. A. (2022). Growth and antioxidant responses of lettuce (Lactuca sativa L.) to arbuscular mycorrhiza inoculation and seaweed extract foliar application. Agronomy, 12(2), 401.

Qinsi He | Climate Change | Best Researcher Award

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.