Alima Amangeldi | Climate Change | Research Excellence Award

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Ms. Alima Amangeldi | Climate Change | Research Excellence Award

Ms. Alima Amangeldi | Climate Change | Engineer at Institute of Ionosphere | Kazakhstan

Climate Change research forms the foundation of the scholarly and professional journey of Ms. Alima Amangeldi, an emerging Kazakhstani researcher whose contributions reflect a strong commitment to environmental resilience, cryosphere monitoring, and long-term hydro-climatic analysis. Ms. Alima Amangeldi is recognized for her intellectual dedication to understanding glacial dynamics and climate-driven transformations across mountainous regions, with a special focus on the Ile-Alatau Mountains within the Northern Tien Shan. Her academic background is rooted in rigorous scientific training in environmental science, Earth observation, and atmospheric studies, equipping her with a deep understanding of hydrology, remote sensing technologies, and climate processes that shape contemporary environmental challenges. Through her education, Ms. Alima Amangeldi developed expertise in satellite imagery interpretation, GIS-based glacier mapping, and the multi-temporal analysis of glacial and moraine lake changes that are vital for predicting natural hazards and informing adaptation strategies. Professionally, she serves at the Institute of Ionosphere in Almaty, Kazakhstan (2024–present), where she contributes to advanced research on atmospheric interactions, hydro-climatic variability, and geospatial environmental assessments. Her role involves conducting multi-temporal remote sensing studies, applying high-resolution climatic datasets, and collaborating with multidisciplinary experts to deepen insights into mountain cryosphere evolution and its broader regional implications. The professional experience of Ms. Alima Amangeldi is marked by her capacity to integrate field observations, satellite-based analytics, and climate modeling, which positions her as a promising researcher in climate science and natural resource management. Her research interests span climate change impacts on glacier recession, moraine lake expansion, hydro-climatic risk assessments, cryosphere monitoring, atmospheric variation analysis, and remote sensing applications in mountainous environments. In her work, Ms. Alima Amangeldi frequently employs advanced research skills such as geospatial analytics, LiDAR interpretation, multi-decadal climate data synthesis, hydrological modeling, and environmental trend analysis. She is proficient in utilizing tools like ArcGIS, QGIS, Google Earth Engine, ERDAS Imagine, and statistical packages used for climatic trend evaluation. Her analytical skills are further supported by her ability to interpret long-term climate indicators and correlate them with environmental shifts across sensitive alpine ecosystems. Although early in her academic trajectory, Ms. Alima Amangeldi has begun building an impactful scholarly presence, evidenced by her authorship of peer-reviewed scientific work focusing on long-term glacier and lake evolution from 1955–2024, informing early-warning systems, hazard prevention measures, and sustainable water resource planning. Her dedication to scientific rigor and environmental protection has earned her recognition as a promising contributor to Kazakhstan’s climate research community, and she is increasingly acknowledged within international research circles addressing cryosphere change and climate-induced mountain hazards. Awards and honors attributed to her include early-career recognition at institutional and departmental levels for excellence in scientific research and contributions to climate-related geospatial studies. Throughout her career progression, Ms. Alima Amangeldi continues to commit herself to advancing the scientific understanding of climate change impacts, strengthening the data foundations needed for sustainable policymaking, and contributing meaningful insights to global environmental research dialogues. In conclusion, Ms. Alima Amangeldi exemplifies the next generation of climate and environmental scientists whose research promises to support long-term climatic resilience, inform public awareness, and guide actionable strategies for adapting mountain ecosystems to the realities of a rapidly changing climate.

Academic Profile: ORCID

Featured Publications:

  1. Amangeldi, A. A., Iskaliyeva, G., Merekeyev, A., Sydyk, N., Abishev, B., & Baygurin, Z. (2025). Hydro-Climatic and Multi-Temporal Remote Analysis of Glacier and Moraine Lake Changes in the Ile-Alatau Mountains (1955–2024), Northern Tien Shan. Atmosphere.

 

 

Bo Zhang | Environmental Science | Best Research Article Award

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Mr. Bo Zhang | Environmental Science | Best Research Article Award

Mr. Bo Zhang | Environmental Science | Associate Professor at Northwestern Polytechnical University | China

Mr. Bo Zhang is an accomplished researcher whose career reflects a distinguished trajectory in the fields of remote sensing, geoinformation science, and artificial intelligence applications for environmental monitoring, and he has consistently demonstrated excellence through impactful research contributions and global collaborations. Educated with a doctoral degree in Remote Sensing from a leading academic institution, Mr. Bo Zhang has established a solid academic foundation that underpins his expertise in applying advanced computational methods to real-world environmental challenges. His professional experience includes multiple collaborative projects with internationally recognized scholars from institutions such as Tsinghua University, Southeast University, Technical University of Munich, University of Hong Kong, and others, through which he has advanced the use of deep learning techniques, satellite image downscaling, and GIS-based data integration for earth observation and climate-related studies. Mr. Bo Zhang’s research interests lie primarily in satellite remote sensing, super-resolution reconstruction of geospatial datasets, atmospheric and environmental data analysis, epidemiological mapping, and the integration of machine learning for improved predictive accuracy in public health and ecological monitoring, reflecting an interdisciplinary approach that combines computing, earth science, and applied technology. His research skills span deep learning model development, neural network applications for image processing, spatial epidemiology analysis, super-resolution algorithms, and the integration of volunteered geographic information into traditional mapping platforms, enabling him to contribute both theoretically and practically to geospatial sciences.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  • Zhu, B., Liu, J., Fu, Y., Zhang, B., & Mao, Y. (2018). Spatio-temporal epidemiology of viral hepatitis in China (2003–2015): Implications for prevention and control policies. International Journal of Environmental Research and Public Health, 15(4), 661. Citations: 73.

  • Pan, D., Zhang, M., & Zhang, B. (2021). A generic FCN-based approach for the road-network extraction from VHR remote sensing images—Using OpenStreetMap as benchmarks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Citations: 59.

  • Zhang, B., Zhang, M., Kang, J., Hong, D., Xu, J., & Zhu, X. (2019). Estimation of PMx concentrations from Landsat 8 OLI images based on a multilayer perceptron neural network. Remote Sensing, 11(6), 646. Citations: 29.

  • Zhang, B., Xiong, W., Ma, M., Wang, M., Wang, D., Huang, X., Yu, L., Zhang, Q., … (2022). Super-resolution reconstruction of a 3 arc-second global DEM dataset. Science Bulletin, 67(24), 2526–2530. Citations: 25.