Area of research
Biomedical Engineering · Cognitive Neuroscience
Research interest
Research interests include EEG and Brain-Computer Interfaces, Non-Invasive Vital Sign Monitoring, Optical Imaging and Spectroscopy Techniques, and Nanofluid Flow and Heat Transfer.
Assessing multilingual speakers’ language processing through functional near-infrared spectroscopy (fNIRS)
Classification of Lower-Limb Motor Imagery Task Using fNIRS-Based BCI for Rehabilitation
Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis
Cortical Tasks-Based Optimal Filter Selection: An fNIRS Study
fNIRS-based Neurorobotic Interface for gait rehabilitation
Optimal feature selection from fNIRS signals using genetic algorithms for BCI
Enhancing Classification Performance of Functional Near-Infrared Spectroscopy- Brain–Computer Interface Using Adaptive Estimation of General Linear Model Coefficients
Determining Optimal Feature-Combination for LDA Classification of Functional Near-Infrared Spectroscopy Signals in Brain-Computer Interface Application
Analysis of Different Classification Techniques for Two-Class Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface
Feature selection based on modified genetic algorithm for optimization of functional near-infrared spectroscopy (fNIRS) signals for BCI
Comparison of classification performance for fNIRS-BCI system