Gulnaz Zakariya | Data Science and Analytics | Research Excellence Award

Mrs. Gulnaz Zakariya | Data Science and Analytics | Research Excellence Award

Satbayev University | Kazakhstan

Mrs. Gulnaz Zakariya is a researcher specializing in Machine Learning, Data Science, and Geospatial Analytics, with strong interdisciplinary contributions spanning FinTech and remote sensing. Her research focuses on the development of intelligent data-driven models for credit risk assessment, antifraud systems, and decision-support frameworks using machine learning and deep learning techniques. She has also made notable contributions to object-based image analysis and spatial change detection, particularly in the study of informal settlements using satellite imagery. Her work bridges applied artificial intelligence, geoinformatics, and financial technology, emphasizing model robustness, interpretability, and real-world deployment. She has published in peer-reviewed international journals and conferences indexed in major scholarly databases, contributing to innovation at the intersection of data science, spatial analytics, and applied AI-driven solutions.

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Featured Publications


Innovative Credit Scoring and Sales Accounting Solutions for SMEs in Kazakhstan

– Gulnaz Zakariya, Olzhas Akylbekov, Aiman Moldagulova,· FinTech, 2025


Object-based change detection of informal settlements

– P. Hofmann, G. Bekkarnayeva · JURSE 2017 (IEEE)

Ana Josselinne Alegre Mondragón | Data Science and Analytics | Editorial Board Member

Prof. Ana Josselinne Alegre Mondragón | Data Science and Analytics | Editorial Board Member

Geospatial Information Sciences Research Center | Mexico

Prof. Ana Josselinne Alegre Mondragón is a distinguished geospatial information sciences researcher whose scholarly contributions advance the understanding of violence dynamics, clandestine graves detection, and geospatial applications for public security and forensic investigations. Her research integrates geographic profiling, spatial statistics, remote sensing, UAV-based photogrammetry, and geointelligence modeling to address critical national challenges, particularly the search for missing persons and the analysis of organized crime patterns. She has authored influential book chapters, peer-reviewed journal articles, and scientific reports published by Springer, Forensic Sciences International, and leading academic institutions in Mexico. Her work includes the development of spectral indices for detecting clandestine graves, multivariate regional analyses of burial sites, geospatial modeling of crime, assessment of soil alterations linked to criminal activities, and advanced methodologies for drone-based terrain morphology assessment. She has actively contributed to high-impact research projects such as Espacio Clandestino, geospatial infrastructures for the Ayotzinapa investigation, and scientific applications supporting national systems for the search of missing persons. Her publications and research tools are widely referenced, shaping new standards for evidence-based forensic search protocols. She has collaborated on cross-disciplinary initiatives involving forensic science, anthropology, criminology, and remote sensing, generating innovative methodologies and academic outputs recognized both nationally and internationally. Her scholarly trajectory demonstrates a sustained commitment to advancing geospatial science for human rights, security analysis, and public policy, positioning her as a leading figure in Mexico’s emerging field of forensic geospatial analytics.

Profile: Scopus | ORCID

Featured Publications

  • Alegre-Mondragón, A. J. (2024). Cambios organizacionales en la policía de la Ciudad de México. Del modelo CompStat a la evaluación con transparencia y apertura hacia la ciudadanía. Revista Digital de Estudios Organizacionales, Universidad de Xalapa, Veracruz, México, 53–92. DOI: https://doi.org/10.69509/wxj14d34

  • Silván-Cárdenas, J. L., Alegre-Mondragón, A. J., Ramírez Aceves E. D., Campos Cornejo, D. R. & Bautista Nadalón, M. (2024). Diseño y aplicación de índices espectrales para la detección de fosas clandestinas. En Interpretar la naturaleza para encontrar a quienes nos faltan. COBUPEJ & CentroGeo, 355–389.

  • Alegre-Mondragón, A. J. & Silván-Cárdenas, J. L. (2024). Morfología del terreno mediante fotogrametría con drones: oportunidades y limitaciones para la detección de fosas clandestinas. En Interpretar la naturaleza para encontrar a quienes nos faltan. COBUPEJ & CentroGeo, 323–350.

  • Silván-Cárdenas, J. L. & Alegre-Mondragón, A. J. (2024). Espacio Clandestino: A Nationwide Platform to Support Clandestine Graves Search in Mexico. In Recent Developments in Geospatial Information Sciences. Springer, 175–186.

  • Alegre-Mondragón, A. J., Vilalta-Perdomo, C. J., Silván-Cárdenas, J. L. & Silva-Arias, C. (2024). Characteristics of Clandestine Burial Sites in Mexico: A Regional Overview with Multivariate Analysis. In Recent Developments in Geospatial Information Sciences. Springer, 53–64.