Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Berdakh Abibullaev
Affiliation
Department of Robotics and Mechatronics, Nazarbayev University, Astana, Kazakhstan
Topic
Convolutional Neural Network,Deep Learning,Amyotrophic Lateral Sclerosis,Convolutional Layers,Deep Learning Models,EEG Data,Machine Learning,Model Selection,Motor Imagery,Motor Imagery Tasks,Neural Network,Attention Mechanism,Brain-computer Interface System,Convolutional Neural Network Model,Imagery Task,Training Data,Transformer Architecture,Transformer Model,Base Classifiers,Brain-computer Interface Applications,Convolutional Neural Network Architecture,Convolutional Neural Network Layers,Data Augmentation,EEG Signals,EEG-based Brain-computer Interface,Hyperparameter Tuning,Majority Voting,Model Performance,Model Selection Process,Recurrent Neural Network,Self-attention Mechanism,Single Class,Subject-independent Classification,Subjects In Dataset,Subset Of Subjects,Trained Subjects,Transformer Encoder,Validation Set,Accuracy Of Model,Advances In Deep Learning,Application Of Transformations,Attention Condition,Average Accuracy,Average Classification Accuracy,Average Performance,Backpropagation Through Time,Binary Classification,Brain Signals,Brain-computer Interface Technology,Brain–computer Interfaces Learning,
Biography
Berdakh Abibullaev (Senior Member, IEEE) received the 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 the Daegu Gyeongbuk Institute of Science and Technology (2010–2013) and at the 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 BMI Systems Team and the Texas Medical Center in developing neural interfaces for rehabilitation. He is currently an Assistant Professor at the Robotics Department, Nazarbayev University, Kazakhstan. His research interests include machine learning algorithms, neural signal processing, and brain–computer/machine interfaces.