Your Profile
Dr. Raheel Zafar
Assistant Professor
  • PhD in Electrical & Electronic Engineering (2013- 2017), University Technology PETRONAS, Malaysia. 
  • Master in Computer Engineering, CASE (Center for Advance studies in Engineering) affiliated with UET (University of Engineering and Technology) Taxila, Pakistan 2006.
  • Master in Computer Sciences, Bahria University Islamabad Pakistan 2004.
  • Bachelor of Science, University of Punjab Pakistan, 2001.
  • Assistant Professor: National University of Modern Languages (Mirpur AJ&K Campus) Present  
  • Lecturer: National University of Modern Languages (Department of Engineering, 14th February 2007 to 17th Dec 2018)    
  • Graduate Assistant / Tutor: University Technology PETRONAS (UTP), 2013-2017.
  • Research Associates / Teaching Assistant for Six semesters in Center for Advanced Studies in Engineering (CASE). 
  • Huma H. Khan, Muhammad N. Malik, Raheel Zafar, Feybi A. Goni, Abdou l
    mohammad G. Chofreh, Jiří J. Klemeš and Youseef Alotaibi , “Challenges for
    sustainable smart city development: A conceptual framework, Sustainable
    Development.  
  • R. Zafar, M. N. Malik, H. Hayat and A. S. Malik, "Decoding Brain Patterns for Colored and Grayscale Images using Multivariate Pattern Analysis," KSII Transactions on Internet and Information Systems, vol. 14, no. 4, pp. 1543-1561, 2020. DOI: 10.3837/tiis.2020.04.008
  • R Zafar, A Qayyum and W Mumtaz, “Automatic eye blink artifact removal for

EEG based on a sparse coding technique for assessing major mental disorders”. 

Journal of integrative neuroscience, 217-229, 2019. 

  • R. Zafar, Kamel, N., Naufal, M. et al. A study of decoding human brain activities from simultaneous data of EEG and fMRI using MVPA. Australas Phys Eng Sci Med 41, 633-645 (2018). https://doi.org/10.1007/s13246-018-0656-5 Springer Netherlands 2018.
  • 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.
  • 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. 5, pp. 13010-13019, 2017. DOI: 10.1109/ACCESS.2017.2698068.
  • 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, Vol 16, pp. 275 - 289.
  • 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.

BOOK CHAPTER

• 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 book: Neural
Information Processing, November 2015, Edition: Volume 9492 of the series
Lecture Notes in Computer Science. Publisher: Springer International
Publishing. Editors: Sabri Arik, Tingwen Huang, Weng Kin Lai, Qingshan Liu.
• R. Zafar and A. Ullah, “Modalities for Decoding Human Brain Activity
September 2019”. Publisher: Taylor & Francis. ISBN: Cyber-Enabled
Intelligence.

 

CONFERENCES ATTENDED   

 

• 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, S. Dass, and R. F. Ahmad, "EEG Spectral Analysis during Complex Cognitive Task at Occipital," 2014. • Rana Fayyaz Ahmad, Aamir Saeed Malik, Hafeezullah Amin, Nidal Kamel,
• Raheel Zafar, Abdul Qayyum, “A new approach for error minimization of piezoelectric sensor output variations using fuzzy logic” in 2014 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2014).
• Rana Fayyaz Ahmad, Aamir Saeed Malik, Nidal Kamel, Hafeezullah Amin, Raheel Zafar, Abdul Qayyum, Faruque Reza, “Discriminating the different human brain states with EEG signals using Fractal dimension: A nonlinear approach” in 2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA).

 

 

  • `Biomedical Engineering, Signals & Systems, Digital Signal Processing, Linear Algebra, Data mining, Information systems, Machine learning, deep learning.   

 

  1.   PROFESSIONAL COURSES ATTENDED          

• Statistical Inference Theory and Practice, August 2013 Kuala Lumpur
• BESA, Sept 2013, Berjaya Time Square Kuala Lumpur
• Neuro Informatics Course, Oct 2013 Department of Neurosciences USM
• Outcome Based Education (OBE) workshop in Malaysia, 2013
• MRI Safety course, Department of Radiology USM, Malaysia
• Statistical Analysis of fMRI Data April 2014, Johns Hopkins University USA
• Deep Learning Course by NVIDIA 2016, UTP Malaysia
• Quality Assurance in Higher Education by HEC, 2009.

Education

  • PhD in Electrical & Electronic Engineering (2013- 2017), University Technology PETRONAS, Malaysia. 
  • Master in Computer Engineering, CASE (Center for Advance studies in Engineering) affiliated with UET (University of Engineering and Technology) Taxila, Pakistan 2006.
  • Master in Computer Sciences, Bahria University Islamabad Pakistan 2004.
  • Bachelor of Science, University of Punjab Pakistan, 2001.

Experience

  • Assistant Professor: National University of Modern Languages (Mirpur AJ&K Campus) Present  
  • Lecturer: National University of Modern Languages (Department of Engineering, 14th February 2007 to 17th Dec 2018)    
  • Graduate Assistant / Tutor: University Technology PETRONAS (UTP), 2013-2017.
  • Research Associates / Teaching Assistant for Six semesters in Center for Advanced Studies in Engineering (CASE). 

Publications

  • Huma H. Khan, Muhammad N. Malik, Raheel Zafar, Feybi A. Goni, Abdou l
    mohammad G. Chofreh, Jiří J. Klemeš and Youseef Alotaibi , “Challenges for
    sustainable smart city development: A conceptual framework, Sustainable
    Development.  
  • R. Zafar, M. N. Malik, H. Hayat and A. S. Malik, "Decoding Brain Patterns for Colored and Grayscale Images using Multivariate Pattern Analysis," KSII Transactions on Internet and Information Systems, vol. 14, no. 4, pp. 1543-1561, 2020. DOI: 10.3837/tiis.2020.04.008
  • R Zafar, A Qayyum and W Mumtaz, “Automatic eye blink artifact removal for

EEG based on a sparse coding technique for assessing major mental disorders”. 

Journal of integrative neuroscience, 217-229, 2019. 

  • R. Zafar, Kamel, N., Naufal, M. et al. A study of decoding human brain activities from simultaneous data of EEG and fMRI using MVPA. Australas Phys Eng Sci Med 41, 633-645 (2018). https://doi.org/10.1007/s13246-018-0656-5 Springer Netherlands 2018.
  • 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.
  • 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. 5, pp. 13010-13019, 2017. DOI: 10.1109/ACCESS.2017.2698068.
  • 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, Vol 16, pp. 275 - 289.
  • 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.

BOOK CHAPTER

• 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 book: Neural
Information Processing, November 2015, Edition: Volume 9492 of the series
Lecture Notes in Computer Science. Publisher: Springer International
Publishing. Editors: Sabri Arik, Tingwen Huang, Weng Kin Lai, Qingshan Liu.
• R. Zafar and A. Ullah, “Modalities for Decoding Human Brain Activity
September 2019”. Publisher: Taylor & Francis. ISBN: Cyber-Enabled
Intelligence.

 

CONFERENCES ATTENDED   

 

• 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, S. Dass, and R. F. Ahmad, "EEG Spectral Analysis during Complex Cognitive Task at Occipital," 2014. • Rana Fayyaz Ahmad, Aamir Saeed Malik, Hafeezullah Amin, Nidal Kamel,
• Raheel Zafar, Abdul Qayyum, “A new approach for error minimization of piezoelectric sensor output variations using fuzzy logic” in 2014 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2014).
• Rana Fayyaz Ahmad, Aamir Saeed Malik, Nidal Kamel, Hafeezullah Amin, Raheel Zafar, Abdul Qayyum, Faruque Reza, “Discriminating the different human brain states with EEG signals using Fractal dimension: A nonlinear approach” in 2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA).

 

 

Interests

  • `Biomedical Engineering, Signals & Systems, Digital Signal Processing, Linear Algebra, Data mining, Information systems, Machine learning, deep learning.   

 

  1.   PROFESSIONAL COURSES ATTENDED          

• Statistical Inference Theory and Practice, August 2013 Kuala Lumpur
• BESA, Sept 2013, Berjaya Time Square Kuala Lumpur
• Neuro Informatics Course, Oct 2013 Department of Neurosciences USM
• Outcome Based Education (OBE) workshop in Malaysia, 2013
• MRI Safety course, Department of Radiology USM, Malaysia
• Statistical Analysis of fMRI Data April 2014, Johns Hopkins University USA
• Deep Learning Course by NVIDIA 2016, UTP Malaysia
• Quality Assurance in Higher Education by HEC, 2009.