Berdakh Abibullaev, PhD

Assistant Professor

Assistant Professor, School of Engineering and Digital Sciences, Department of Robotics and Mechatronics

Emailberdakh.abibullaev@nu.edu.kz

Accepting PhD Students

PhD projects

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 on decoding a human mental state from data. for more details: http://berdakh.github.io

Source: Scopus
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Personal profile

Dr. Berdakh Abibullaev received his M.Sc. and Ph.D. degrees in electronic engineering from Yeungnam University, South Korea in 2006, and 2010, respectively. He held research scientist positions at Daegu-Gyeongbuk Institute of Science and Technology (2010-2013) and at Samsung Medical Center, Seoul, South Korea (2013-2014). In 2014, he received the National Institute of Health postdoctoral research fellowship II to join a multi-institutional research project between the University of Houston Brain-Machine Interface Systems Team and Texas Medical Center in developing neural interfaces for rehabilitation in post-stroke patients. He is currently an Assistant Professor at Robotics Department, Nazarbayev University, Kazakhstan. His research focuses on developing robust Brain-Machine Interfaces for people with severe motor impairments.

External positions

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1 Active
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Neural-assisted optimization of human learning with multi-modal neuroimaging of EEG and NIRS
Fazli, S., Abibullaev, B., Müller, K. & Wallraven, C.
1/1/20 → 12/31/22
Project: Monitored by Research Administration
Clinico-epidemiological assessment of COVID 19 infection in Kazakhstan
Colet, P., Sarria, A., Abibullaev, B., Zollanvari, A., Azizan, A., Crape, B., Chan, C. K., Issanov, A., Stitt, N. & Viederman, D.
Project: Monitored by Research Administration
Brain-Computer Interface to Exoskeleton System Design for Personalized Upper-Limb Rehabilitation after Stroke
Abibullaev, B., Shintemirov, A., Fazli, S., Zollanvari, A., Daribayev, Z. & Kaiyrzhanov, R.
Project: Monitored by Research Administration

390 Citations
10 h-Index
21 Conference contribution
16 Article
1 Chapter
1 Comment/debate

Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis for Cost-Sensitive Binary Classification
Zollanvari, A., Abdirash, M., Dadlani, A. & Abibullaev, B., 2019, In: IEEE Signal Processing Letters. 26, 9, p. 1300-1304
Research output: Contribution to journal › Article › peer-review
Deep Learning Models for Subject-Independent ERP-based Brain-Computer Interfaces
Tuleuov, A. & Abibullaev, B., May 16 2019, 9th International IEEE EMBS Conference on Neural Engineering, NER 2019. IEEE Computer Society, p. 945-948 4 p. 8717088. (International IEEE/EMBS Conference on Neural Engineering, NER; vol. 2019-March).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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 journal › Article › peer-review

Open Access
Learning Discriminative Spatiospectral Features of ERPs for Accurate Brain-Computer Interfaces
Abibullaev, B. & Zollanvari, A., Sep 2019, In: IEEE Journal of Biomedical and Health Informatics. 23, 5, p. 2009-2020 12 p., 8613780.
Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus)
Novel Spatiospectral Features of ERPs Enhances Brain-Computer Interfaces
Orazayev, Y., Zollanvari, A. & Abibullaev, B., Feb 2019, 7th International Winter Conference on Brain-Computer Interface, BCI 2019. Institute of Electrical and Electronics Engineers Inc., 8737344. (7th International Winter Conference on Brain-Computer Interface, BCI 2019).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Citation (Scopus)