Dr. Raheel Zafar

Assistant Professor ,""
Phone No:051 9265100 Ext:328
Email ID:raheel.zafar@numl.edu.pk

Education:
PhD in Electrical & Electronic Engineering
University Technology PETRONAS, Malaysia.

MSc. Computer Engineering
UET, Taxila

BSc. Computer Science
Bahria University, Islamabad
Graduate Assistant / Tutor
University technology PETRONAS (UTP)
2013-2017

Lecturer
National University of Modern Languages 
14 February 2007 to Present

Research Associates / Teaching Assistant 
Center for Advanced Studies in Engineering (CASE)
2005-2007
Biomedical Engineering
Signals & Systems
Digital Signal Processing
Linear Algebra
Image Processing
Data Communications and Networks

R. Zafar, Kamel, N., Naufal, M. et al. “A study of decoding human brain activities from simultaneous data of EEG and fMRI using MVPA,” Australasian Physical &
Engineering Sciences in Medicine. https://doi.org/10.1007/s13246-018-0656-5.
Springer Netherlands 2018. Science Citation Index (SCI): 1.17.

R. Zafar, S. C. Dass, and A. S. Malik, "Electroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based
score fusion," PLOS ONE, vol. 12, p. e0178410, 2017. DOI:10.1371/journal.pone.0178410.
Science Citation Index (SCI): Q-1: 2.82).

R. Zafar, S. C. Dass, A. Malik, N. Kamel, J. Rehman, R. F. Ahmad, J. M.Abdullah, and F. Reza, "Prediction of Human Brain Activity using Likelihood
Ratio Based Score Fusion," IEEE Access, vol. PP, pp. 1-1, 2017. DOI:10.1109/ACCESS.2017.2698068.
Science Citation Index (SCI): Q-1: 3.24).

R. Zafar, N. Kamel, M. Naufal, A. S. Malik, S. C. Dass, R. F. Ahmad, J. M.Abdullah, and F. Reza, "Decoding of visual activity patterns from fMRI
responses using multivariate pattern analyses and convolutional neural network,"
Journal of Integrative Neuroscience, pp. 1-15. Science Citation Index (SCI): 0.68.

R. Zafar, A. S. Malik, N. Kamel, S. C. Dass, J. M. Abdullah, F. Reza, and A. H.A. Karim, "Decoding of visual information from human brain activity: A review
of fMRI and EEG studies," Journal of integrative neuroscience, pp. 1-14, 2015.
Science Citation Index (SCI): I.F: 0.9.

R. Zafar, A. S. Malik, J. Rehman, and S. C. Dass, “Classification of fMRI data using support   vector machine and convolutional neural network”, 2017 IEEE International Conference on Signal and Image Processing Applications.


R. Zafar, A. S. Malik, J. Rehman, and S. C. Dass, “Multiple trials in event related fMRI for different conditions”, 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)


R. Zafar, A. S. Malik, N. Kamel, and S. C. Dass, "Role of voxel selection and ROI in fMRI data analysis," in 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2016, pp. 1-6.


R. Zafar, A. S. Malik, N. Kamel, and S. C. Dass, "fMRI based brain state analysis of visual activities," in 2015 IEEE Student Symposium in Biomedical Engineering & Sciences (ISSBES), 2015, pp. 46-49.


R. Zafar, A. S. Malik, N. Kamel, and S. C. Dass, "Importance of realignment parameters in fMRI data analysis," in 2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2015, pp. 546-550.


R. Zafar, A. S. Malik, H. U. Amin, N. Kamel, and S. C. Dass, "Discrimination of Brain States Using Wavelet and Power Spectral Density," in International Conference on Neural Information Processing, 2015, pp. 341-347.


R. Zafar, A. S. Malik, H. U. Amin, N. Kamel, S. Dass, and R. F. Ahmad, "EEG Spectral Analysis during Complex Cognitive Task at Occipital," 2014.              

IEEE Member