Publications & Patents

Research publications and conference contributions from 2014 to the present, together with selected patents in neural interfaces, machine learning, and neurotechnology.

2026

Multi-scale EEG feature decoding with Swin Transformers for subject independent motor imagery BCIs

Qamar, W.U.R., Abibullaev, B. Multi-scale EEG feature decoding with Swin Transformers for subject independent motor imagery BCIs. Sci Rep 16, 2503 (2026).

Publications & Patents

2026

Multi-scale EEG feature decoding with Swin Transformers for subject independent motor imagery BCIs

2025

Deep Learning in Intracranial EEG for Seizure Detection: Advances, Challenges, and Clinical Applications.

Neurotechnology in Gaming: A Systematic Review of Visual Evoked Potential-Based Brain-Computer Interfaces

HaptiComm-S20: Force-Feedback Characterization of Tactile Stimuli for Deafblind Communication

Visual Evoked Potentials in Neurofeedback: Advancing Cognitive Control in ADHD Through Therapeutic Gaming

2024

Compact Convolutional Transformer for Subject-Independent Motor Imagery EEG-Based BCIs

Data Constraints and Performance Optimization for Transformer-based Models in EEG-based Brain-Computer Interfaces: A Survey

Evolving Trends and Future Prospects of Transformer Models in EEG-Based Motor-Imagery BCI Systems

Subject-Independent Brain-Computer Interfaces: A Comparative Study of Attention Mechanism-Driven Deep Learning Models

2023

Deep Learning in BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications

A Jackknife-inspired deep learning approach to subject-independent classification of EEG

Exploring the Potential of Attention Mechanism-Based Deep Learning for Robust Subject-Independent Motor-Imagery based BCIs

Explainable Deep Learning for Brain-Computer Interfaces through Layerwise Relevance Propagation

2022

Subject-Independent Classification of P300 Event-Related Potentials Using a Small Number of Training Subjects

Subject-Independent Classification of Motor Imagery Tasks in EEG Using Multisubject Ensemble CNN.

An ensemble of convolutional neural networks for zero-calibration ERP-based BCIs

2021

A Systematic Deep Learning Model Selection for P300-Based Brain-Computer Interfaces

Bias correction for linear discriminant analysis

An Ensemble CNN for Subject-Independent Classification of Motor Imagery-based EEG

Is Riemannian Geometry Better than Euclidean in Averaging Covariance Matrices for CSP-based Subject-Independent Classification of Motor Imagery?

A novel human-robot interaction framework based on Telegram and programming by demonstration

A System For Drivers’ Cognitive Load Estimation Based On Deep Convolutional Neural Networks and Facial Feature Analysis

Deep Transfer Learning for Subject-Independent ERP-based BCIs

Data Augmentation for P300-based Brain-Computer Interfaces Using Generative Adversarial Networks

2020

A Brute-force CNN Model Selection for Accurate Classification of Sensorimotor Rhythms in BCIs

On the Classification of Electromyography Signals to Control a Four Degree-Of-Freedom Prosthetic Device

Design and Optimization of a Real-Time Asynchronous BCI Control Strategy for Robotic Manipulator Assistance

2019

Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis for Cost-Sensitive Binary Classification

Learning Discriminative Spatiospectral Features of ERPs for Accurate Brain-Computer Interfaces

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

Deep Learning Models for Subject-Independent ERP-based Brain-Computer Interfaces

Novel Spatiospectral Features of ERPs Enhance Brain-Computer Interfaces

2018

Feature extraction and real-time recognition of hand motion intentions from EMGs via artificial neural networks

Cross-correlation between HbO and HbR as an effective feature of motion artifact in fNIRS signal

Trained by demonstration humanoid robot controlled via a BCI system for telepresence

2017

Design and Evaluation of Action Observation and Motor Imagery based BCIs using NIRS

fNIRS motion artifact correction for overground walking using entropy-based unbalanced optode decision and wavelet regression neural network

Design and Evaluation of a P300 Visual Brain-Computer Interface Speller in Cyrillic Characters

Learning Suite of Kernel Feature Spaces Enhances SMR-Based EEG-BCI Classification

Design and Evaluation of a P300-ERP based BCI System for Real-Time Control of a Mobile Robot

2016

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

On Robust Classification of Hemodynamic Signals for BCIs via Multiple Kernel *ν*-SVMs

2015

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

Source Imaging in Partial Epilepsy in Comparison with Presurgical Evaluation and Magnetoencephalography

Neural development of social cognition in the first two years of life - Early findings

Decoding Intent From Non-invasive EEG in Freely Behaving Infants

A developmental Analysis of Behaviors Related to the Mirror Neuron System in 6-24 Months Infants

Supervised Classification of Intended Behaviors Using Electroencephalography (EEG) from Freely-Behaving Infants: Early Findings

2014

Classification of brain hemodynamic signals arising from visual action observation tasks for brain-computer interfaces: An fNIRS study

Control of a Therapeutic Exoskeleton to Facilitate Personalized Robotic Rehabilitation of the Upper Limb

The evaluation of accuracy and clinical usefulness of 3D EEG source localization analysis

Patents

Rehabilitation Training System and Method.

Self-directed Rehabilitation Training Method Combining Brain Signals and Functional Electrostimulation

Combining Brain Signals and Functional Electrostimulation Self-Directed Rehabilitation Method

On Robust Classification of Hemodynamic Signals for BCIs via Multiple Kernel ν-SVMs