Berdakh Abibullaev
Nazarbayev University, Daegu Gyeongbuk Institute of Science and Technology
Papers
5
Total Citations
63
H-Index
3
About
Berdakh Abibullaev is a leading researcher in Brain-Computer Interfaces (BCI), robotics, and neural rehabilitation, whose work focuses on restoring functional independence for individuals with severe motor disabilities. His most impactful contribution is the design and evaluation of a P300-ERP based BCI system for real-time mobile robot control (26 citations), demonstrating how brain signals can be translated into meaningful commands for assistive devices. He has advanced telepresence robotics by integrating BCI with humanoid robots trained through demonstration (18 citations), enabling paralyzed patients to perceive and interact with remote environments. His optimization of BCI-driven telepresence robots (13 citations) further improves activities of daily living for those with motor paralysis. Abibullaev has also explored stroke rehabilitation using brain hemodynamic signals, proposing a neuro-rehabilitation framework that combines BCI with robotic assistance to restore motor control. His recent work on asynchronous BCI control for robotic manipulators addresses low information transfer rates, enabling reach-grasp-release tasks in 3D space. Through these innovations, Abibullaev is bridging the gap between neural signals and robotic systems, offering transformative solutions for assistive technology and neurorehabilitation.
Research Focus
Key Achievements
Top Papers
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