Berdakh Abibullaev, PhD

Assistant Professor

Accepting PhD Students

PhD projects

Brain-Computer/Machine Interfaces (BCI/BMI) research aims to restore or substitute lost motor function in patients with neurological conditions such as stroke, spinal cord injury, amyotrophic lateral sclerosis or in patients with amputated limbs. This technology, which is also known as a thought-translation device, is based on building a direct communication and control channel between humans and an external device without involving any peripheral and muscular activity. Our research focuses on the development and cross-validation of new neurotechnologies in Kazakhstan to improve the quality of life for disabled people, at the interface between engineering, robotics, and neuroscience. Currently, we work on the following research topics: (i) to enable communication capability between brains and computers; (ii) to develop neural interfaces to restore human motor functions after stroke; (iii) to develop brain-actuated assistive robotic systems for disabled persons; (iv) to advance machine learning research on decoding the human mental state from data.

  • 357 Citations
  • 10 h-Index

Research output per year

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Research Output

  • 357 Citations
  • 10 h-Index
  • 21 Conference contribution
  • 15 Article
  • 1 Chapter
  • 1 Comment/debate

Near-infrared spectroscopy in the analysis of functional brain activity during cognitive tasks

Abibullaev, B., Lee, S. H. L. S. H., Kang, W-S. K. W-S., An, J. A. J. & Seo, H. D. S. H. D., 2010, Sensors 2010 IEEE. IEEE, p. 542-547 6 p. (Sensors 2010 IEEE).

Research output: Chapter in Book/Report/Conference proceedingChapter