Jing Fan | Environmental Science | Best Researcher Award

Published on by Young Scientists Awards

Assoc. Prof. Dr. Jing Fan l Environmental Science
| Best Researcher Award

Zhaotong University | China

Assoc. Prof. Dr. Jing Fan the research focuses on advancing understanding of geological and hydrological disaster mechanisms with particular emphasis on rock fracture behavior, structural evolution, and fluid migration in complex subsurface environments. Central themes include the analysis of structural plane connectivity in landslide-prone rock masses and the development of models to predict multi-factor disaster-pregnancy mechanisms in tectonically active regions such as the Jinsha River Basin. By integrating field investigations, laboratory experiments, and numerical simulations, the studies aim to reveal how geological structures influence water conduction, stability, and energy transfer within fractured rock systems. Recent work explores the coupling effects between mechanical stress, fluid flow, and seismic responses to improve risk assessment and early warning for geological disasters. A key contribution includes the development of a double-layered seismo-electric method for characterizing groundwater seepage fields in high-level waste disposal sites, offering a novel approach to detect and evaluate subsurface hydrogeological conditions. The research collectively contributes to disaster prevention, sustainable resource management, and environmental safety by providing quantitative frameworks and innovative methodologies to understand, model, and mitigate risks associated with complex geological processes.

Profile:  Orcid  

Featured Publications

Fan, J., Meiliya, Y., Wu, S., Du, G., & Chen, L. (2025, September). A double-layered seismo-electric method for characterizing groundwater seepage fields in high-level waste disposal. Water. Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/w17192848

Fan, J., Wang, R., & Hua, J. (2025, September 22). Ground sound recognition method for evolution of post-sliding fractures at the slope edge based on GIS and machine learning models. Proceedings of the 2025 Annual Conference of the Chinese Geographical Society.

Meiliya, Y., Fan, J., & Zhang, H. (2025, July 9). Legal regulation of algorithm discrimination and construction of digital fairness platform. Law.

Fan, J., Yusuupjiang, M., & Lv, X. (2025, June 14). Characteristics of permeable structure of Beishan granite and three-dimensional detection research by high-density electromagnetic method. Soil Science.

Qiuping Wang | Environmental Engineering | Best Researcher Award

Published on by Young Scientists Awards

Dr. Qiuping Wang | Environmental Engineering | Best Researcher Award

Tongji university | China

Qiuping Wang is a distinguished Ph.D. candidate at the College of Civil Engineering, Tongji University, under the guidance of Prof. Shuguang Liu, with a strong academic record. She earned her Master’s degree in Aquaculture from South China Agricultural University and her Bachelor’s degree in Aquaculture from Beibu Gulf University, establishing a solid foundation in environmental and aquatic sciences. Her research integrates civil engineering, environmental science, and computational approaches, focusing on water distribution networks, pipeline integrity, risk assessment under ground settlement, and the environmental impacts of nanoplastics. Her academic impact is reflected in 65 citations across 65 documents, 11 published documents, and an h-index of 3, underscoring the significance of her contributions to both engineering and environmental research. Qiuping has an extensive publication record with significant citations, contributing to high-impact research on automatic image analysis of water pipes, machine learning for pipeline predictive analysis, and risk assessment of coastal city water networks. She has also investigated the neurotoxicity and hepatotoxicity of polystyrene nanoplastics and polybrominated diphenyl ethers in aquatic organisms, including zebrafish, Hainan Medaka, and grass carp, addressing critical ecological and toxicological challenges. Her studies include microplastic distribution in freshwater sediments, pollutant interactions, and effects on gut microbiota and oxidative stress in aquatic species. Her research has been published in top-tier journals and presented at international conferences such as the International Ocean and Polar Engineering Conference. By combining experimental techniques, computational modeling, and interdisciplinary approaches, Qiuping develops innovative solutions in water infrastructure management, environmental protection, and aquatic toxicology. Fluent in Chinese and English, she continues to make impactful contributions to sustainable engineering, environmental science, and the understanding of microplastic pollution, bridging practical applications with fundamental research in aquatic ecosystems and civil infrastructure.

Featured Publications

  • Wang, Q., Lei, L., Liu, S., et al. (2025). A method for improving the efficiency and effectiveness of automatic image analysis of water pipes.

  • Chen, R., Wang, Q., & Javanmardi, A. (2025). A review of the application of machine learning for pipeline integrity predictive analysis in water distribution networks. Archives of Computational Methods in Engineering, 32(6), 3821–3849.

  • Wang, Q., Liu, S., Zhong, G., et al. (2024). Risk assessment methods for water supply pipeline networks in coastal cities under ground settlement: A case study in Shanghai. International Ocean and Polar Engineering Conference, Greece.

  • Wang, Q., Chen, G., Tian, L., et al. (2023). Neuro- and hepato-toxicity of polystyrene nanoplastics and polybrominated diphenyl ethers on early life stages of zebrafish.

  • Wang, Q., Huang, K., Li, Y., et al. (2022). Microplastics abundance, distribution, and composition in freshwater and sediments from the largest Xijin Wetland Park, Nanning, South China.

  • Wang, Q., Li, Y., Chen, Y., et al. (2022). Toxic effects of polystyrene nanoplastics and polybrominated diphenyl ethers to zebrafish (Danio rerio).