Subject-Independent Brain-Computer Interfaces: A Comparative Study of Attention Mechanism-Driven Deep Learning Models. - Aigerim Keutayeva; Berdakh Abibullaev (IHCI (1), 2023)

Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications. - Berdakh Abibullaev; Aigerim Keutayeva; Amin Zollanvari (IEEE Access, 2023)

Integrating Machine Learning Model and Digital Twin System for Additive Manufacturing. - Nursultan Jyeniskhan; Aigerim Keutayeva; Gani Kazbek; Md. Hazrat Ali; Essam Shehab (IEEE Access, 2023)

Exploring the Potential of Attention Mechanism-Based Deep Learning for Robust Subject-Independent Motor-Imagery Based BCIs. - Aigerim Keutayeva; Berdakh Abibullaev (IEEE Access, 2023)

Data Constraints and Performance Optimization for Transformer-Based Models in EEG-Based Brain-Computer Interfaces: A Survey. - Aigerim Keutayeva; Berdakh Abibullaev (IEEE Access, 2024)

Neurotechnology in Gaming: A Systematic Review of Visual Evoked Potential-Based Brain-Computer Interfaces. - Aigerim Keutayeva; China Jesse Nwachukwu; Muslim Alaran; Zhenis Otarbay; Berdakh Abibullaev (IEEE Access, 2025)