Junqiang Wang | Grassland Ecology | Excellence in Innovation Award

Mr. Junqiang Wang | Grassland Ecology | Excellence in Innovation Award

Professor | China West Normal University | China

Professor Wang Junqiang, Ph.D., is a leading expert in Soil Ecology and Grassland Ecology, currently serving as a professor and master’s supervisor at China West Normal University and a part-time graduate supervisor at Xichang University. He obtained his Ph.D. in Ecology from the Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences. Dr. Wang has led multiple high-impact research projects funded by the National Natural Science Foundation of China, provincial science foundations, and regional R&D programs, addressing critical issues such as soil carbon stability, freeze-thaw processes, tillage systems, and grassland ecological restoration. With a growing academic influence reflected in 17 published documents, 58 citations, and an h-index of 4, he has contributed significantly to advancing sustainable land use and ecosystem resilience, with publications in internationally recognized journals including Plant and Soil, CATENA, and Field Crops Research. He is a recognized high-level flexible talent in the Tibet Autonomous Region, a recipient of the “Jialing River Talent Project,” and is supported by the Central Government’s “Three Regions” Talent Support Program. Dr. Wang also serves as a reviewer for the CSCIED Scientific Core Evaluation Database, further affirming his peer recognition and professional standing. His research leadership, commitment to interdisciplinary collaboration, and dedication to mentoring the next generation of scientists exemplify excellence in ecological research and academic service.

Profile : Scopus

Featured Publications

1. Tillage effect on soil N uptake and utilization by the changes of chiA and aprA gene under parallel nitrogen application. (2026). European Journal of Agronomy.

2. Shi, H., …, Qiu, X. (2025, October). Contrasting impacts of grassland restoration methods on soil greenhouse gases emissions under warming conditions in Northern Tibet. Catena, 258.

3. Yan, S., …, He, J. (2025, June 20). Differences along an erosion gradient in alpine meadow plant community diversity and factors influencing diversity. Acta Prataculturae Sinica, 34(6).

Abhijeet Das | Environmental Studies | Best Research Article Award

Dr. Abhijeet Das | Environmental Studies | Best Research Article Award

Research Consultant | Chandrasekhara Venkata Raman Global University | India

Dr. Abhijeet Das, currently serving as a Project Consultant at Madhu Smita Design & Engineers Studio, is an accomplished civil and water resources engineering professional with a strong academic and research background. He holds a Ph.D. in Water Resources Engineering from C.V. Raman Global University, along with an M.Tech and B.Tech in Civil Engineering from BPUT, Rourkela. With over ten years of diverse experience across consultancy, academia, and research, Dr. Das has led and contributed to numerous national and international projects in hydrological modeling, watershed hydrology, surface water assessment, GIS and remote sensing, and machine learning applications in water resources. His research emphasizes climate change impact analysis, geoinformatics, environmental sustainability, and simulation-optimization modeling. A prolific contributor to scientific advancement, he holds multiple patents and has been recognized with prestigious awards such as the Inspiring Educator Award and several Best Project Awards for his innovative work in machine learning and water quality assessment. Dr. Das has presented as an invited speaker at globally reputed conferences in Vienna, Berlin, Rome, Singapore, Amsterdam, and Osaka. He actively engages in academic development through regular participation in international workshops, faculty development programs, and short-term training courses. His scholarly output includes, 205 citations 89 documents, and an h-index of 8, reflecting his impactful contributions to the field of civil and environmental engineering.

Profiles:  Scopus | ORCID

Featured Publications

1. An optimization based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance. (2025). Discover Environment.

2. Reimagining biofiltration for sustainable industrial wastewater treatment. (2025).

3. A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in Mahanadi River Basin, Odisha, India. (2025). Discover Sustainability.

4. Evaluation and prediction of surface water quality status for drinking purposes using an integrated water quality indices, GIS approaches, and machine learning techniques. (2025). Desalination and Water Treatment.

5. Bioplastics: a sustainable alternative or a hidden microplastic threat? (2025). Innovative Infrastructure Solutions.