Summary
I am working as an Assistant Professor in the Department of Computer Software Engineering at NUST, I apply my PhD in Neuroinformatics to teach and research topics related to computational neuroscience, neuroimaging, and machine learning. I have several years of experience as a scientific researcher and consultant in this field, working on projects that aim to develop biomarkers for mental health and learning styles using EEG and fMRI data.
My core competencies include analyzing and processing neuroimaging modalities such as EEG and fMRI, applying deep learning frameworks such as PyTorch and Tensorflow to extract features and patterns from complex data, and using statistical methods to evaluate and validate the results. I also have proficient programming skills in Python, Matlab, and C/C++. I am passionate about advancing the understanding and application of neuroinformatics to improve human cognition, health, and well-being.
Academic Background
PhD
(Biomedical Engineering) Universiti Teknologi Petronas
October 07, 2016 - June 03, 2021
Honours and Awards
Publications
Attention based multi feature fusion neuromarker for EEG driven stress classification in learners
March 31, 2026
International Journal of clinical and health psycology - Volume 26, Issue 1, Article Number 100678
Examining AI-Powered ADHD Diagnosis: Current Trends, Key Challenges, and Future Directions in the Field
June 03, 2025
IEEE Access - Volume 13, Pages 93148-93177
Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments.
January 07, 2025
Scientific Reports - Volume 15, Article Number: 1114
Deep Learning-Based Assessment Model for Real-Time Identification of Visual Learners Using Raw EEG
January 19, 2024
IEEE Transactions on Neural Systems and Rehabilitation Engineering - Volume 32, Pages 378-390
Hemispheric asymmetries in electroencephalogram oscillations for long-term memory retrieval in healthy individuals
December 04, 2020
Brain Sciences - Volume 10, Issue 12, Article Number 937
Classification of visual and non-visual learners using electroencephalographic alpha and gamma activities
May 07, 2019
Frontiers in Behavioral Neuroscience - Volume 13, Article Number 86
Researcher
Brno University of Technology
March 01, 2022 - October 17, 2023