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)

Olzhas Akylbekov | Data Science and Analytics | Research Excellence Award

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.

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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

Nepoleon Prabakaran | Business, Management and Accounting | Young Scientist Award

Mr. Nepoleon Prabakaran | Business, Management and Accounting | Young Scientist Award

Alliance Ascent College | India

Mr. Nepoleon Prabakaran is an emerging scholar in Consumer Neuroscience, Organizational Behavior, and Digital Learning Environments, with impactful contributions spanning metaverse-based learning, leadership psychology, and consumer behavior analytics. His research examines the dynamic intersection of technology, management, and human cognition, focusing on how digital ecosystems influence trust, performance, and engagement in educational and corporate contexts. He has published extensively in Scopus- and Web of Science-indexed journals, including Frontiers in Education, Review of Education, Journal of Metaverse, Central European Management Journal, Journal of Information Technology Education: Research, and Journal of Economics and Management. His studies on metaverse adoption, job crafting, cultural intelligence, and digital literacy are widely recognized for integrating behavioral insights with data-driven methodologies. Mr. Nepoleon Prabakaran has co-authored several book chapters in international volumes published by CRC Press and IGI Global, addressing contemporary themes such as consumer neuroscience, MOOCs, and sustainable digital transformation. His collaborative research has gained significant academic visibility, reflected in his Google Scholar metrics — Citations: 124; h-index: 4; i10-index: 3 — demonstrating the growing scholarly impact of his work. He has earned multiple Best Paper Awards at prestigious international conferences organized by Jaipuria Institute of Management, Bennett University (Spain collaboration), IES MCRC, and the University of Rijeka, Croatia, acknowledging his excellence in applied behavioral and digital management research. With over 20 research publications in high-impact international outlets, his ongoing research involves metaverse-driven education, AI-integrated consumer analytics, and positive leadership frameworks that foster employee flourishing and organizational trust. Mr. Nepoleon Prabakaran actively contributes to the global academic community as a reviewer and conference participant, promoting interdisciplinary advancement in management science and digital innovation.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate | LinkedIn

Featured Publications

• Kareem, J., Patrick, H. A., Prabakaran, N., Tantia, V., M. P. M. P. K., & Mukherjee, U. (2023). Transformational educational leaders inspire school educators’ commitment. Frontiers in Education, 8, 1171513. https://doi.org/10.3389/feduc.2023.1171513

• Ahamed, A. A., Patrick, H. A., Kareem, J., Mukherjee, U., & Nepoleon, M. P. (2023). Organisational justice, job performance and work engagement: The mediating role of perceived supervisory support. Review of Education, 11(1), e3390. https://doi.org/10.1002/rev3.3390

• Kareem, J., Patrick, H. A., & Prabakaran, N. (2024). Exploring the factors of learning organization in school education: The role of leadership styles, personal commitment, and organizational culture. Central European Management Journal. https://doi.org/10.1108/CEMJ-2024

• Prabakaran, N., & Patrick, H. A. (2024). Global regionalization of consumer neuroscience behavioral qualities on insights from Google Trends. In Explainable AI Applications for Human Behavior Analysis (pp. 258–274). Springer. https://doi.org/10.1007/978-3-031-xxxxx-x_15

• Prabakaran, N., Patrick, H. A., & Kareem, J. (2025). Enhancing English language proficiency and digital literacy through metaverse-based learning: A mixed-methods study in higher education. Journal of Information Technology Education: Research, 24, 010. https://doi.org/10.28945/5261