1. Assistant Professor: National University of Modern Languages (Department of Engineering)        
2. Lecturer: National University of Modern Languages (Department of   Engineering, 14^th February 2007 to 17^th Dec 2018)          
3. Graduate Assistant / Tutor: University Technology PETRONAS (UTP), 2013-2017.       
4. Research Associates / Teaching Assistant for Six semesters in Center for Advanced Studies in Engineering (CASE). www.case.edu.pk      

JOURNAL PUBLICATIONS     

• Zafar, R., Javvad ur Rehman, M., Alam, S., Arslan Khan, M., Hussain, A., Ahmad, R. Fayyaz. Computational Intelligence and Neuroscience. (2022). A Cumulants Based Human Brain Decoding. 2022. (SCI): I.F: 3.12.      
• Rehman, M. J. U., Zafar, R., Dilpazir, H., Sohail, M. F., Khan, M. A., & Jahan, R. (2022). Embedded Estimation Sequential Bayes Parameter Inference for the Ricker Dynamical System. Journal of Sensors, 2022, 4540366. doi:10.1155/2022/4540366. Science Citation Index (SCI): I.F: 2.336.    
• Zafar, R., ur Rehman, M. J., & Dilpazir, H. J. T. (2022). Power Spectrum of Brain for Complex Task using Electroencephalogram. 4(2), 383-391.  
• Khan, H. H., Malik, M. N., Zafar, R., Goni, F. A., Chofreh, A. G., Klemeš, J. J., & Alotaibi, Y. J. S. D. (2020). Challenges for sustainable smart city development: A conceptual framework. 28(5), 1507-1518. Science Citation Index (SCI): I.F:   

8.562.  

• 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. Science Citation Index (SCI): I.F: 0.972.   
• 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. Science Citation Index (SCI): I.F: 1.664.      

• 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/s132460180656https://doi.org/10.1007/s13246-018-065655. Springer Netherlands 2018. Science Citation Index (SCI): 1.91.  

• 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):  3.752.      

• 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 5, 13010-13019., 2017. DOI:  

10.1109/ACCESS.2017.2698068. Science Citation Index (SCI): 3.476.   

• 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, 16, 275-289. Science Citation Index (SCI): 1.664.  
• 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, 14, 155-168, 2015.  Science Citation Index (SCI): I.F: 1.664.                                                                                            CONFERENCE PUBLICATIONS       
• 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).                             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.

Biomedical Engineering, Signals & Systems, Digital Signal Processing, Linear Algebra, Image Processing, Data Communications and Networks, Data mining, Information systems.      

Education

• Doctor of Philosophy in Electrical and & Electronic Engineering (Neural Signal Processing and Applied Machine Learning, 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

1. Assistant Professor: National University of Modern Languages (Department of Engineering)        
2. Lecturer: National University of Modern Languages (Department of   Engineering, 14^th February 2007 to 17^th Dec 2018)          
3. Graduate Assistant / Tutor: University Technology PETRONAS (UTP), 2013-2017.       
4. Research Associates / Teaching Assistant for Six semesters in Center for Advanced Studies in Engineering (CASE). www.case.edu.pk      

Publications

JOURNAL PUBLICATIONS     

• Zafar, R., Javvad ur Rehman, M., Alam, S., Arslan Khan, M., Hussain, A., Ahmad, R. Fayyaz. Computational Intelligence and Neuroscience. (2022). A Cumulants Based Human Brain Decoding. 2022. (SCI): I.F: 3.12.      
• Rehman, M. J. U., Zafar, R., Dilpazir, H., Sohail, M. F., Khan, M. A., & Jahan, R. (2022). Embedded Estimation Sequential Bayes Parameter Inference for the Ricker Dynamical System. Journal of Sensors, 2022, 4540366. doi:10.1155/2022/4540366. Science Citation Index (SCI): I.F: 2.336.    
• Zafar, R., ur Rehman, M. J., & Dilpazir, H. J. T. (2022). Power Spectrum of Brain for Complex Task using Electroencephalogram. 4(2), 383-391.  
• Khan, H. H., Malik, M. N., Zafar, R., Goni, F. A., Chofreh, A. G., Klemeš, J. J., & Alotaibi, Y. J. S. D. (2020). Challenges for sustainable smart city development: A conceptual framework. 28(5), 1507-1518. Science Citation Index (SCI): I.F:   

8.562.  

• 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. Science Citation Index (SCI): I.F: 0.972.   
• 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. Science Citation Index (SCI): I.F: 1.664.      

• 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/s132460180656https://doi.org/10.1007/s13246-018-065655. Springer Netherlands 2018. Science Citation Index (SCI): 1.91.  

• 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):  3.752.      

• 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 5, 13010-13019., 2017. DOI:  

10.1109/ACCESS.2017.2698068. Science Citation Index (SCI): 3.476.   

• 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, 16, 275-289. Science Citation Index (SCI): 1.664.  
• 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, 14, 155-168, 2015.  Science Citation Index (SCI): I.F: 1.664.                                                                                            CONFERENCE PUBLICATIONS       
• 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).                             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.

Interests

Biomedical Engineering, Signals & Systems, Digital Signal Processing, Linear Algebra, Image Processing, Data Communications and Networks, Data mining, Information systems.