Md Kafiul Islam, PhD

Injamamul Haque Sourov, Faiyaz Alvi Ahmed, Md Tawhid Islam Opu, Aunnoy K Mutasim, M Raihanul Bashar, Rayhan Sardar Tipu, Md Ashraful Amin, Md Kafiul Islam

EEG‐Based Preference Classification for Neuromarketing Application

Computational Intelligence and Neuroscience 2023(1), 2023

• Neuromarketing
• Support vector machine
• frontal electrodes
• EEG
• k-nearest neighbors
• EEG dataset
• artificial neural networks
• consumer behavior

Antora Dev, Nipa Roy, Md Kafiul Islam, Chiranjeeb Biswas, Helal Uddin Ahmed, Md Ashraful Amin, Farhana Sarker, Ravi Vaidyanathan, Khondaker A Mamun

Exploration of EEG-based depression biomarkers identification techniques and their applications: a systematic review

IEEE Access 10, pp. 16756–16781, 2022

• EEG biomarkers
• independent component analysis
• depression
• convolutional neural networks
• Support vector machine
• depression detection
• brain functional connectivity
• EEG artifact removal
• negative stimuli

• SDG 3Good Health and Well-being

Amir Jalilifard, Dehua Chen, Aunnoy K Mutasim, M Raihanul Bashar, Rayhan Sardar Tipu, Ahsan-Ul Kabir Shawon, Nazmus Sakib, M Ashraful Amin, Md Kafiul Islam

Use of spontaneous blinking for application in human authentication

Engineering Science and Technology, an International Journal 23(4), pp. 903–910, 2020

• gated recurrent unit
• spontaneous blinking
• electrooculogram
• biometric identification
• user authentication
• Gaussian probability density

Aunnoy K Mutasim, M Raihanul Bashar, Rayhan Sardar Tipu, Md Kafiul Islam, M Ashraful Amin

Effect of Artefact Removal Techniques on EEG Signals for Video Category Classification

2018 24th International Conference on Pattern Recognition (ICPR), pp. 3513–3518, 2018

• Muse headband
• Emotiv EPOC
• EEG artifact removal
• brain-computer interface

Aunnoy K Mutasim, Rayhan Sardar Tipu, M Raihanul Bashar, Md Kafiul Islam, M Ashraful Amin

Computational Intelligence for Pattern Recognition in EEG Signals

Computational Intelligence for Pattern Recognition, pp. 291–320, 2018

• Feature selection
• brain-computer interface
• EEG signals
• empirical mode decomposition
• independent component analysis
• Pattern Recognition
• EEG classification
• signal denoising
• unsupervised learning
• supervised learning classifiers