Shivanand Pawar | Soil Science | Best Faculty Award

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Dr. Shivanand Pawar | Soil Science | Best Faculty Award

Jain University | India

Dr. Shivanand Pawar’s research demonstrates a strong commitment to advancing sustainable rural development through evidence-based community education interventions. His work focuses on assessing how structured community engagement can drive measurable progress toward Sustainable Development Goals, particularly within rural settings. By designing and implementing a comprehensive Sustainable Rural Community Development Module, he conducted an empirical study involving women, farmers, and youth, applying quantitative interviews, focus group discussions, observational follow-ups, and pre- and post-intervention assessments to examine shifts in awareness, participation, and community-led action. The study generated valuable insights into how targeted education can strengthen human capital, enhance local capacities, and support long-term sustainability outcomes. His intervention model emphasizes participatory learning, social inclusion, and empowerment as core drivers of development, ultimately positioning community education as a transformative tool for rural advancement. The research has resulted in recognized scholarly contributions, including an award-winning paper on human capital and sustainable development. His academic impact is reflected in an h-index of 2, citation count of 22, and an i10-index of 1, indicating growing influence in the field of social work and sustainable development research. These metrics highlight both the relevance and emerging impact of his contributions toward advancing community-centered development practices.

Profile : Orcid

Featured Publications

Pawar, S. (2025). Human capital and stakeholder engagement intervention: A women empowerment pathway to achieve sustainable community development in water, sanitation, and hygiene at Vaijapur Village of Karnataka, India.

Pawar, S. (2023). Influence of decision-making styles and affective styles on academic procrastination among students.

Pawar, S. (2022). Internet gaming disorder among adolescents during COVID-19 pandemic: A case report of Kerala students, India

Pawar, S. (2022). Psychological wellbeing status of Schedule Caste during COVID-19 pandemic of Thiruvallur District of Tamil Nadu, India

Yanling Li | Soil | Interdisciplinary Soil Research Award

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Dr. Yanling Li | Soil | Interdisciplinary Soil Research Award

Shandong Agricultural University | China 

Dr. Yanling Li is a distinguished scholar whose work integrates agricultural remote sensing, ecological monitoring, and soil–plant–atmosphere interactions to advance sustainable land management. Her research focuses on refining multi-source remote sensing techniques to monitor crop growth, evaluate vegetation dynamics, and assess soil nutrient patterns across diverse landscapes. She has contributed substantially to understanding how soil carbon–nitrogen cycling, land-use changes, and climatic variability influence agricultural productivity and ecological stability. Through innovative analytical frameworks, she has improved the accuracy of yield estimation models and enhanced methods for decoupling natural and human-driven ecological signals. Her work also includes designing practical remote sensing tools and developing teaching innovations that strengthen education in photogrammetry and digital mapping. Dr. Li’s research has supported decision-making in precision agriculture, soil health assessment, and climate-adaptive farming strategies. She collaborates widely across academic, governmental, and industry platforms to translate scientific insights into field-ready applications, ensuring her research benefits both environmental conservation and agricultural development. Her contributions continue to shape modern approaches to remote sensing–based ecological assessment, reflecting a commitment to advancing soil science, sustainable agriculture, and data-driven ecosystem management.

Profile : Orcid

Featured Publications

Wang, X., Li, Y., Fang, S., Dong, C., & Sun, L. (2025). Decoupling anthropogenic and climate impacts on vegetation dynamics in China’s Huaihe River Basin using geodetector. Scientific Reports.

Wang, X., Fang, S., Li, Y., Dong, C., & Sun, L. (2024). Spatiotemporal variability of vegetation NDVI in the Huaihe River Basin, China: Driving force analysis and ecological implications. Preprints.

Lu, Q. Y., Li, Y. L., Yang, Y. T., & Liu, F. J. (2023). Winter wheat identification and area extraction based on hyperspectral/multispectral image fusion. In Proceedings of the 2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics).

Sun, J., & Li, Y.-L. (2022). Remote sensing monitoring of afforestation and its interaction with climate in Saihanba Mechanical Forest Farm in recent 45 years. In Proceedings of the 6th International Conference on Computer Science and Application Engineering.