← Team membersMulti-scale EEG feature decoding with Swin Transformers for subject independent motor imagery BCIs Deep Learning in Intracranial EEG for Seizure Detection: Advances, Challenges, and Clinical Applications. Compact Convolutional Transformer for Subject-Independent Motor Imagery EEG-Based BCIs Exploring the Potential of Attention Mechanism-Based Deep Learning for Robust Subject-Independent Motor-Imagery based BCIs A Systematic Deep Learning Model Selection for P300-Based Brain-Computer Interfaces
BMI Lab · People
Berdakh Abibullaev, PhD
I’m an Associate Professor at the School of Computing and AI, Nazarbayev University.
I direct BMI Lab, where we develop machine-learning and AI methods for neural data analysis, brain–machine intelligence, and clinically relevant neurotechnology.
berdakh.abibullaev@nu.edu.kzResearch
My research focuses on decoding neural signals and building machine learning models that generalize across people and recording conditions. I work with EEG, intracranial EEG, EMG and fNIRS, with applications in epilepsy research, neurorehabilitation and human–machine interaction.
Our methods span deep learning, transformer models, transfer learning and domain adaptation. My current interests include neural decoding and assistive systems.
Experience
2022–present
Associate Professor
School of Computing and Artificial Intelligence
Nazarbayev University · Astana, Kazakhstan
School of Computing and Artificial Intelligence
Nazarbayev University · Astana, Kazakhstan
2015–2021
Assistant Professor
Department of Robotics and Mechatronics
School of Engineering and Digital Sciences
Nazarbayev University · Astana, Kazakhstan
Department of Robotics and Mechatronics
School of Engineering and Digital Sciences
Nazarbayev University · Astana, Kazakhstan
2018
Visiting Professor
Department of Electrical and Computer Engineering
University of Houston · Houston, Texas, USA
Department of Electrical and Computer Engineering
University of Houston · Houston, Texas, USA
2014–2015
NIH Postdoctoral Fellow
Department of Electrical and Computer Engineering
University of Houston · Houston, Texas, USA
Department of Electrical and Computer Engineering
University of Houston · Houston, Texas, USA
2013–2014
Research Scientist
Samsung Medical Center · Seoul, Republic of Korea
Samsung Medical Center · Seoul, Republic of Korea
2012–2013
Senior Research Scientist
Robotics Research Division
Daegu Gyeongbuk Institute of Science and Technology (DGIST) · Daegu, Republic of Korea
Robotics Research Division
Daegu Gyeongbuk Institute of Science and Technology (DGIST) · Daegu, Republic of Korea
2010–2012
Postdoctoral Fellow
Robotics Research Division
Daegu Gyeongbuk Institute of Science and Technology (DGIST) · Daegu, Republic of Korea
Robotics Research Division
Daegu Gyeongbuk Institute of Science and Technology (DGIST) · Daegu, Republic of Korea
Education
PhD, Electronic & Computer Engineering · Yeungnam University · Gyeongsan, Republic of Korea · 2010
MS, Electronic Engineering · Yeungnam University · Gyeongsan, Republic of Korea · 2006
Teaching & mentorship
I teach undergraduate and graduate courses spanning machine learning, brain–machine interfaces, neural signal processing, signals and systems, and embedded systems. My teaching connects mathematical foundations with programming and practical engineering, and I mentor researchers working across AI and neural engineering.