Olzhas Akylbekov | Data Science and Analytics | Research Excellence Award

Published on by Forensic Scientist

Mr. Olzhas Akylbekov | Data Science and Analytics | Research Excellence Award

Satbayev University | Kazakhstan

Mr. Olzhas Akylbekov is a researcher in data science and machine learning with a strong focus on applied artificial intelligence for spatial analysis and intelligent systems. His scholarly work emphasizes deep learning architectures, hybrid neural networks, and spatial data modeling for real-world decision support systems. According to Scopus, he has 2 peer-reviewed publications, with a total of 20 citations and an h-index of 2. His research contributions are published in internationally recognized journals indexed in Web of Science and Scopus, reflecting impact in areas such as urban spatial analytics and AI-driven content analysis.

                            Citation Metrics (Scopus)

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20
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h-index

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Featured Publications


Hybrid CNN-LSTM Network for Cyberbullying Detection on Social Networks using Textual Contents

– International Journal of Advanced Computer Science and Applications(IJACSA), 2023 · Cited by 19

Adimias Wendimagegn | Data Science | Best Researcher Award

Published on by Forensic Scientist

Mr. Adimias Wendimagegn | Data Science | Best Researcher Award

Kotebe University of Education | Ethiopia

Mr. Adimias Wendimagegn is a data scientist and biostatistician specializing in statistical modeling, distribution theory, and applications in public health. His research primarily focuses on advanced regression frameworks, including classical and Bayesian modeling approaches under GAMLSS and BAMLSS structures. He has introduced novel models such as the Alpha Power Transformed Beta (APTBeta) regression for analyzing antenatal care utilization and developed methodological frameworks for Gamma and Beta-type distributions. He has published multiple peer-reviewed journal articles indexed in Scopus and Web of Science, contributing significantly to statistical theory and biostatistical applications. His works include studies on antenatal care utilization, maternal age at first birth, and advanced distributional models for proportion data. He is also the author of two academic books published by LAP Lambert Academic Publishing, covering joint modeling of longitudinal and survival data and determinants of teenage fertility in Ethiopia. His scholarly contributions extend to the development of R packages for regression modeling and diagnostics, enhancing reproducibility and accessibility in statistical analysis. Mr. Adimias Wendimagegnserves as a reviewer for leading international journals such as PLOS ONE and Value in Health, and his publications have received multiple citations reflecting his growing impact in the field. Through his research, he continues to advance innovative statistical methodologies and their applications in health and demographic studies.

Profile: ResearchGate

Featured Publications

  • Wendimagegn, A., & Arero, B. G. (2025, October). Alpha power transformed beta regression with application on antenatal care visit proportions among Ethiopian women. Journal of Statistical Theory and Applications. https://doi.org/10.1007/s44199-025-00135-w

  • Wendimagegn, A., Goshu, A. T., & Arero, B. G. (2024, September). New alpha power transformed beta distribution with its properties and applications. Frontiers in Applied Mathematics and Statistics, 10. https://doi.org/10.3389/fams.2024.1433767

  • Wendimagegn, A. (2019, March). Determinant of solid-waste management in Debre Birhan Town. American Journal of Theoretical and Applied Statistics, 8(1), 26–33. https://doi.org/10.11648/j.ajtas.20190801.14