Luli Cui | Gravity Hydrology | Best Researcher Award

Published on by Network Awards

Assoc. Prof. Dr. Luli Cui | Gravity Hydrology | Best Researcher Award

 Faculty Member | Chengdu University | China

Assoc. Prof. Dr. Luli Cui is a highly accomplished researcher whose work significantly advances the fields of remote sensing, hydrology, and climate disaster analysis, making her a strong candidate for a Best Researcher Award. Her research primarily focuses on the detection, monitoring, and assessment of extreme hydrological events and long-term water resource changes through cutting-edge satellite gravity data, including GRACE, GRACE-FO, and Swarm missions. She has made notable contributions to understanding the dynamics of severe drought and flood events affecting vulnerable regions worldwide, such as the Amazon River Basin, the Yangtze River Basin, and Pakistan’s flood-prone territories. Her publications consistently showcase robust methodologies combining multi-source satellite observations, downscaling algorithms such as partitioned random forest models, and advanced spatiotemporal analyses to quantify hydrological anomalies and environmental risks. Through her pioneering efforts, she has provided timely assessments of critical events including the 2023–2024 extreme drought in the Amazon and the 2022 compound heat-drought disaster in the Yangtze River Basin, delivering essential scientific guidance for climate adaptation, ecological protection, and water resource management. Her interdisciplinary collaborations and strong presence in high-impact international journals reflect her commitment to addressing global challenges associated with climate variability and hydrological extremes. Dr. Cui’s innovative research not only enhances scientific understanding of complex Earth system processes but also supports governments and policy makers with data-driven insights required to strengthen resilience in societies facing intensifying environmental threats, demonstrating consistent excellence and leadership in scientific research.

Profile: Scopus | ORCID

Featured Publications

Hu, J., Cui, L., Meng, J., Guo, H., Lu, Y., & Li, Y. (2025, September 17). Drought dynamic characteristics over Amazon River basin in the past 30 years revealed by multi-source satellite gravity observations. International Journal of Remote Sensing.

Zhou, J., Cui, L., Li, Y., Yao, C., Meng, J., Zou, Z., & Lu, Y. (2025, August 9). GRACE/GFO and Swarm observation analysis of the 2023–2024 extreme drought in the Amazon River Basin. Remote Sensing.

Cui, L., Li, Y., Zhong, B., An, J., Meng, J., Guo, H., & Xu, C. (2025, February). Assessing the impact of 2022 extreme drought on the Yangtze River basin using downscaled GRACE/GRACE-FO data obtained by partitioned random forest algorithm. International Journal of Remote Sensing.

Cui, L., Meng, J., Li, Y., An, J., Zou, Z., Zhong, L., Mao, Y., & Wu, G. (2024, April 30). Spatiotemporal evolution characteristics of 2022 Pakistan severe flood event based on multi-source satellite gravity observations. Remote Sensing.

Cui, L., Zhong, L., Meng, J., An, J., Zhang, C., & Li, Y. (2024, April 12). Spatiotemporal evolution features of the 2022 compound hot and drought event over the Yangtze River Basin. Remote Sensing.

Assoc. Prof. Dr. aynur mamat | Remote sensing | Women Researcher Award

Published on by Network Awards

Assoc. Prof. Dr. aynur mamat | Remote sensing | Women Researcher Award

Assoc. Prof. Dr. aynur mamat | Kashi Aerospace Information Research Institute | China

Aynur Mamat, Ph.D., is an Associate Researcher at the Aerospace Information Research Institute, Chinese Academy of Sciences 🚀, and the Kashgar Institute of Aerospace Information. With over a decade of expertise in remote sensing 📡 and sustainable development in arid regions 🌵, she has led and contributed to 10+ national and provincial projects. Aynur has published 20+ academic papers 📄, including 10+ first-author SCI papers, and is a proud member of the CAS Youth Innovation Promotion Association 🌟. Her innovative work has earned her multiple excellence awards 🏆 from the Chinese Academy of Sciences.

Professional Profile:

SCOPUS

Suitability for Women Researcher Award

Dr. Aynur Mamat exemplifies the qualities of an outstanding candidate for the Women Researcher Award. As an Associate Researcher at the Aerospace Information Research Institute, Chinese Academy of Sciences, and the Kashgar Institute of Aerospace Information, she has demonstrated exceptional leadership, innovation, and dedication in the field of remote sensing and sustainable development in arid regions. Her academic achievements, project leadership, and impactful research contributions showcase her as a role model for women in STEM.

Education and Experience 🎓💼

  • 🎓 Ph.D. (Details not provided—please specify if needed)
  • 👩‍💼 Associate Researcher
    Aerospace Information Research Institute, CAS
  • 👩‍💼 Associate Researcher
    Kashgar Institute of Aerospace Information
  • 🛰️ Over 10 years of experience in remote sensing monitoring and ecological research

Professional Development 

🚀 Aynur Mamat has consistently advanced in her professional journey, blending scientific research with environmental applications 🌱. As an Associate Researcher at CAS, she has spearheaded projects focusing on remote sensing for ecological monitoring 📡 and sustainable development in arid regions 🌍. Her leadership in over 10 national and provincial projects reflects her strong research and project management skills 📊. As a graduate supervisor 👩‍🏫, she mentors future researchers, fostering scientific growth. A member of the CAS Youth Innovation Promotion Association 🌟, Aynur’s commitment to innovation has been recognized with multiple excellence awards 🏅.

Research Focus 

🔬 Aynur Mamat’s research is rooted in remote sensing monitoring 📡 and sustainable development 🌿, with a focus on arid regions 🌵. She explores the ecological evolution of lake basins, oasis ecological security 🌊, and the dynamic mechanisms of human-nature systems 🏞️. Her work integrates GIS technologies 🗺️ to assess environmental suitability for human settlements, emphasizing climate change impacts 🌦️ and hydrological responses in mid-high latitude wetlands. Aynur’s interdisciplinary approach bridges environmental science 🌍, geographic information systems (GIS), and climate change research 🌡️ to promote ecological sustainability.

Awards and Honors 🏆

  • 🏅 Excellence Awards from the Chinese Academy of Sciences
  • 🌟 Member, CAS Youth Innovation Promotion Association

Publication Top Notes:

“Characterization of Spatial Distribution and Source Analysis of Heavy Metals in Surface Dust of Typical Oil Cities According to PMF Modeling” by A. Yisimayili, A. Mamat and M. Amat

 

 

 

Mr. Jordan Bernard | Spatial Smoothing Award | Best Researcher Award

Published on by Network Awards

Mr. Jordan Bernard | Spatial Smoothing Award | Best Researcher Award

Mr. Jordan Bernard, Alaska Department of Fish and Game, United States

Mr. Jordan Bernard, an M.S. graduate in Statistics from the University of Alaska Fairbanks, specializes in Biological Applications of Statistics, complemented by a B.S. in Mathematics from Colorado State University. 👨‍🔬 With a rich background as a Biometrician II at the Alaska Department of Fish and Game, he adeptly utilizes Bayesian statistics, predictive analytics, and spatial ecology methods to analyze marine mammal populations. Previously, as a Senior Staff Scientist at Geosyntec Consultants, he provided GIS support for mapping contamination, showcasing his versatility. 💻 His skill set spans Bayesian and spatial statistics, R programming, GIS, and data visualization, making him a formidable force in statistical analysis and data management across various domains.

Professional Profile:

Scopus

📚 Education:

Mr. Bernard holds an M.S. in Statistics from the University of Alaska Fairbanks, specializing in Biological Applications of Statistics, and a B.S. in Mathematics from Colorado State University.

👨‍🔬 Work Experience:

Mr. Jordan Bernard is an accomplished Biometrician with extensive experience in statistical analysis and data management, particularly in marine mammal populations. He has served as a Biometrician II at the Alaska Department of Fish and Game, where he calculated statistics related to marine mammal abundance, movement, and genetics, employing Bayesian statistics, predictive analytics, and spatial ecology methods. Previously, he worked as a Senior Staff Scientist at Geosyntec Consultants, providing GIS support and mapping contamination in soil and sediment. Additionally, he has worked as a Data Analyst at the Alaska Primary Care Association, managing healthcare data and calculating population-level health statistics.

💻 Skills:

His skills include expertise in Bayesian statistics, spatial statistics, time series statistics, R programming, JAGS, GIS, SQL, data visualization, and report writing.

Publications Top Notes :

  1. A geostatistical model based on random walks to krige regions with irregular boundaries and holes
    • Published in Ecological Modelling in 2024.
    • Contributors: Barry, R.P., McIntyre, J., Bernard, J.
  2. An empirical Bayesian approach to incorporate directional movement information from a forage fish into the Arnason-Schwarz mark-recapture model
    • Published in Movement Ecology in 2021.
    • Contributors: Bishop, M.A., Bernard, J.W.
    • Cited by 5 articles.