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.

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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

Bingqin Han | Computer Science and Artificial Intelligence | Research Excellence Award

Published on by Forensic Scientist

Mr. Bingqin Han | Computer Science and Artificial Intelligence | Research Excellence Award

Tianjin University | China

Mr. Bingqin Han, is a leading researcher at the intersection of artificial intelligence, consumer psychology, and business ethics, focusing on the factors that influence AI adoption in both consumer and managerial contexts. His work integrates behavioral science, marketing, and technology studies to examine how trust, risk perception, ethical considerations, and cognitive biases shape the acceptance and utilization of AI technologies. He has pioneered innovative frameworks for modeling human–AI interaction, most notably the “onion model” of AI humanoid robot adoption in domestic settings, which conceptualizes acceptance across technical, psychological, and social layers, offering both theoretical and practical insights. Mr. Bingqin Han’s scholarly contributions include three peer-reviewed publications, which have garnered three citations and an h-index of 1 according to Scopus, reflecting his emerging influence in the field. Beyond publications, he has contributed to interdisciplinary research projects, participated in editorial and peer-review activities, and engaged in collaborative initiatives that bridge academia and industry, highlighting his commitment to advancing both theory and practice. His work has significantly enriched understanding of human–AI integration, providing actionable guidance for developers, policymakers, and researchers aiming to optimize AI deployment in real-world environments. By combining rigorous empirical research, innovative conceptual frameworks, and interdisciplinary collaboration, Han has made substantial contributions to AI adoption research, behavioral decision-making, and ethical technology development, establishing a foundation for future innovations and informing responsible, human-centered implementation of AI technologies across diverse contexts.

Profile: Scopus

Featured Publications

  • Han, B., Song, S., Liu, D., & Mo, J. (2024). Mechanism of online public opinion formation in major risk events in China: A qualitative comparative analysis.

  • Han, B., & Liu, D. (2025). Peeling back acceptance: An onion model of AI humanoid robot adoption in homes.