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.

  • 366 Citations
  • 10 h-Index
20082019

Research output per year

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Research Output

  • 366 Citations
  • 10 h-Index
  • 21 Conference contribution
  • 16 Article
  • 1 Chapter
  • 1 Comment/debate
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Article
2019

Design and Optimization of a BCI-Driven Telepresence Robot Through Programming by Demonstration

Abibullaev, B., Zollanvari, A., Saduanov, B. & Alizadeh, T., Aug 5 2019, In : IEEE Access. 7, p. 111625 111636 p.

Research output: Contribution to journalArticle

Open Access
2 Citations (Scopus)
2017

Design and evaluation of action observation and motor imagery based BCIs using Near-Infrared Spectroscopy

Abibullaev, B., An, J., Lee, S. H. & Moon, J. I., Feb 1 2017, In : Measurement: Journal of the International Measurement Confederation. 98, p. 250-261 12 p.

Research output: Contribution to journalArticle

7 Citations (Scopus)
2016

Design and optimization of an EEG-based brain machine interface (BMI) to an upper-limb exoskeleton for stroke survivors

Bhagat, N. A., Venkatakrishnan, A., Abibullaev, B., Artz, E. J., Yozbatiran, N., Blank, A. A., French, J., Karmonik, C., Grossman, R. G., O'Malley, M. K., Francisco, G. E. & Contreras-Vidal, J. L., Mar 31 2016, In : Frontiers in Neuroscience. 10, MAR, 122.

Research output: Contribution to journalArticle

63 Citations (Scopus)
2015

A novel experimental and analytical approach to the multimodal neural decoding of intent during social interaction in freely-behaving human infants

Cruz-Garza, J. G., Hernandez, Z. R., Tse, T., Caducoy, E., Abibullaev, B. & Contreras-Vidal, J. L., Oct 4 2015, In : Journal of Visualized Experiments. 2015, 104, e53406.

Research output: Contribution to journalArticle

2 Citations (Scopus)

EEG source imaging in partial epilepsy in comparison with presurgical evaluation and magnetoencephalography

Park, C. J., Seo, J. H., Kim, D., Abibullaev, B., Kwon, H., Lee, Y. H., Kim, M. Y., An, K. M., Kim, K., Kim, J. S., Joo, E. Y. & Hong, S. B., Oct 1 2015, In : Journal of Clinical Neurology (Korea). 11, 4, p. 319-330 12 p.

Research output: Contribution to journalArticle

7 Citations (Scopus)
2014
6 Citations (Scopus)
2013

Minimizing inter-subject variability in fNIRS-based brain-computer interfaces via multiple-kernel support vector learning

Abibullaev, B., An, J., Jin, S. H., Lee, S. H. & Moon, J. I., Dec 1 2013, In : Medical Engineering and Physics. 35, 12, p. 1811-1818 8 p.

Research output: Contribution to journalArticle

17 Citations (Scopus)
2012
50 Citations (Scopus)

Decision support algorithm for diagnosis of ADHD using electroencephalograms

Abibullaev, B. & An, J., Aug 1 2012, In : Journal of Medical Systems. 36, 4, p. 2675-2688 14 p.

Research output: Contribution to journalArticle

28 Citations (Scopus)
2011

A new QRS detection method using wavelets and artificial neural networks

Abibullaev, B. & Seo, H. D., Aug 1 2011, In : Journal of Medical Systems. 35, 4, p. 683-691 9 p.

Research output: Contribution to journalArticle

53 Citations (Scopus)

Neural Network Classification of Brain Hemodynamic Responses from Four Mental Tasks

Abibullaev, B., An, J. & Moon, J. I., Oct 1 2011, In : International Journal of Optomechatronics. 5, 4, p. 340-359 20 p.

Research output: Contribution to journalArticle

20 Citations (Scopus)
2010
16 Citations (Scopus)

Seizure detection in temporal lobe epileptic EEGs using the best basis wavelet functions

Abibullaev, B., Kim, M. S. & Seo, H. D., Aug 1 2010, In : Journal of Medical Systems. 34, 4, p. 755-765 11 p.

Research output: Contribution to journalArticle

14 Citations (Scopus)
2008

Analysis of brain function and classification of sleep stage EEG using daubechies wavelet

Kim, M. S., Cho, Y. C., Berdakh, A. & Seo, H. D., Apr 1 2008, In : Sensors and Materials. 20, 1, p. 1-14 14 p.

Research output: Contribution to journalArticle

6 Citations (Scopus)