Alicia Palacios-Orueta | Spatial Data Analysis | Research Excellence Award

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Dr. Alicia Palacios-Orueta | Spatial Data Analysis | Research Excellence Award

 Universidad Politécnica de Madrid | Spain

Dr. Alicia Palacios-Orueta is a Full Professor (Catedrática de Universidad) in the Department of Agroforestry Engineering at the Technical University of Madrid (Universidad Politécnica de Madrid, UPM), with an internationally recognized career in environmental science and remote sensing. She holds a degree in Agricultural Engineering from UPM and completed her MSc and PhD in Soil Science at the University of California, Davis. Her academic trajectory spans more than two decades, including appointments as Assistant Professor, Associate Professor, and Full Professor, as well as research positions in leading international institutions in the United States, Italy, Israel, and Sweden. Her research focuses on soil science, climatology, meteorology, geology, plant ecology, remote sensing, hyperspectral analysis, and spatial–temporal time series analysis. She is especially known for pioneering work on hyperspectral indices for soil and vegetation assessment and for innovative statistical approaches to remote sensing time series with spatial dimensions. Her research has received international visibility, including coverage by Nature Geoscience and New Scientist, and she has contributed to advisory bodies such as the Seosat/Ingenio Mission Advisory Group. She has coordinated numerous national and international research projects, supervised doctoral theses, and taught extensively at undergraduate, master’s, and doctoral levels. Her scholarly impact is reflected in 44 documents, an h-index of 21, and approximately 1,743 citations. Overall, Dr. Palacios-Orueta is a leading scholar whose work has significantly advanced the understanding of land–atmosphere interactions and environmental monitoring through remote sensing.

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Featured Publications

Fan Xiao | Data Processing | Research Excellence Award

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Assoc. Prof. Dr. Fan Xiao | Data Processing | Research Excellence Award

Sun Yat-sen University | China

Xiao Fan is an Associate Professor and PhD advisor at the School of Earth Sciences and Engineering, Sun Yat-sen University, recognized for his contributions to mineral exploration, mathematical geoscience, and data-driven Earth system analysis. He received his bachelor’s and doctoral degrees in mineral resource exploration from China University of Geosciences (Wuhan), with joint doctoral training at the University of Ottawa. His research focuses on mineral system modeling, multi-physics numerical simulation, fractal and singularity analysis, machine-learning-based mineral prospectivity, and knowledge-driven geoscientific data integration. As a core member of major national innovation teams, he has led or participated in several national and provincial research projects and contributed to the creation of an advanced UAV-based geophysical–geochemical acquisition and processing platform. He has published 54 documents with 986 citations from 706 sources and holds an h-index of 19, along with multiple patents, software copyrights, and highly cited works in leading SCI journals. He serves on editorial boards and scientific committees, including roles as youth editor and guest editor, and has organized sessions for the International Geological Congress. His work advances quantitative mineral prediction and computational geoscience, contributing impactful models and methods that enhance understanding of mineralization processes and exploration efficiency.

Profiles : Scopus | Orcid

Featured Publications

(2025). “Three-Dimensional Prospectivity Modeling of Jinshan Ag-Au Deposit, Southern China by Weights-of-Evidence.” Journal of Earth Science.

(2025). “Lithologic mapping of intermediate-acid intrusive rocks in the eastern Tianshan Gobi Desert using machine learning and multi-source data fusion.” Earth Science Frontiers.

(2025). “A DFT study on mechanisms of indium adsorption on sphalerite (100), (110), and (111) surfaces: Implications for critical metal mineralization.” Ore Geology Reviews.

(2025). “Data-driven expeditious mapping and identifying granites in covered areas via deep machine learning: A case study on the implications for geodynamics and mineralization of Eastern Tianshan.” Lithos.

(2025). “Numerical Modeling and Exploration Data Coupled-driven Mineral Prospectivity Mapping: A Case Study of Fankou Pb-Zn Deposit.” Geotectonica et Metallogenia.

International Research Data Analysis Excellence Awards | Award Winners 2023

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Congratulations  Wei Guo | Best  Researcher  Award Winner 2023  🏆

Assist Prof Dr Wei Guo : Ecological remote sensing

Congratulations to Wei Guo for being honored with the "Best Researcher Award" and emerging as a winner at the "International Research Data Analysis Excellence Awards" for his outstanding contributions in the field of Ecological Remote Sensing. His dedication to advancing knowledge in this domain has not only earned him recognition but has also significantly contributed to the understanding of environmental dynamics. Kudos to Wei Guo for this well-deserved achievement!

Professional profile:

Early Academic Pursuits:

Wei Guo began his academic journey with a Bachelor of Engineering in Geomatics from Shandong University of Science and Technology in 2008. He pursued a Master of Engineering in Photogrammetry and Remote Sensing from the same institution in 2011. Later, in 2015, he earned his Ph.D. in Geographic Information System from Wuhan University.

Professional Endeavors:

Following his educational pursuits, Wei Guo engaged in various professional roles. Notably, he worked as a Senior Structure Engineer at PetroPars Co. (2004-2013), contributing to offshore projects and supervising structural document issuance. Subsequently, he served as a Post-doctoral researcher at the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences (2016.5-2019.5). He also gained international exposure as a Visiting Scholar at Michigan State University, Center for Global Change & Earth Observations (2013.8-2015.2).

In 2019, Wei Guo assumed the role of Assistant Professor at China University of Mining & Technology, Beijing, showcasing his dedication to academic and research activities.

Contributions and Research Focus:

Wei Guo's research primarily centers around urban nighttime lighting, nighttime light pollution, evaluation of sustainable development goals (SDGs), and the ecological effects of land change. His contributions extend to the development of assessment frameworks for forecasting land use and carbon storage, spatiotemporal dynamics of population density, and mapping impervious surface distribution.

He has actively engaged in interdisciplinary research, evident from his collaboration with international institutions and the publication of numerous journal articles. His work involves the integration of data processing techniques, remote sensing, and geographical information systems to address environmental challenges.

Accolades and Recognition:

Wei Guo's research endeavors have been acknowledged through publications in reputable journals, such as "Science of the Total Environment," "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing," and "International Journal of Digital Earth."

Impact and Influence:

Wei Guo's work has made a significant impact on the fields of remote sensing, geographic information systems, and environmental studies. His research on sustainable development, nighttime lighting, and land change contributes valuable insights to address contemporary challenges.

Legacy and Future Contributions:

As an emerging scholar, Wei Guo's legacy lies in his dedication to advancing knowledge in geospatial sciences and environmental sustainability. His future contributions are anticipated to further enrich the understanding of urbanization dynamics, environmental impacts, and the application of geospatial technologies for sustainable development.

Notable Publication:

Effects of microplastics on substance transformation, sludge characteristics, toxicological effect, and microbial communities in different biochemical sludge systems: A review
Temporal trends, sources, and ecological risk of residual organochlorine pesticides (OCPs) in sediment core from the Dongping Lake, North China
The environmental risk of antibiotic resistance genes from manure compost fertilizer gradually diminished during ryegrass planting
Enhanced recovery of phosphorus in sewage sludge-derived biochar with CaCO3: Phosphorus speciation and slow-release phosphorus behavior
Effect of dissolved oxygen on high C/N wastewater treatment in moving bed biofilm reactors based on heterotrophic nitrification and aerobic denitrification: Nitrogen removal performance and potential mechanisms
Seasonal occurrence, removal and mass loads of artificial sweeteners in the largest water reclamation plant in China
Development of ecological risk assessment for Diisobutyl phthalate and di-n-octyl phthalate in surface water of China based on species sensitivity distribution model