Name : Mr. Anwar Hussain
Designation : Lecturer
Department : Computer Science
Qualification(s) : M.Phill Computer Science, Quaid-i-Azam University Islamabad
Qualification(s) : M.Sc. Computer Science, University of Peshawar (Gold Medalist)
Qualification(s) :
Phone :
Email :
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[1] A. Hussain et al., "A Resource Efficient hybrid Proxy Mobile IPv6 extension for Next Generation IoT Networks," IEEE Internet of Things Journal, 2021.
[2] A. Hussain, S. Nazir, S. Khan, and A. Ullah, "Analysis of PMIPv6 extensions for identifying and assessing the efforts made for solving the issues in the PMIPv6 domain: a systematic review," Computer Networks, vol. 179, p. 107366, 2020.
[3] D. Pan, A. Hussain, S. Nazir, and S. Khan, "A Computationally Efficient User Model for Effective Content Adaptation Based on Domain-Wise Learning Style Preferences: A Web-Based Approach," Complexity, vol. 2021, p. 6634328, 2021/04/01 2021.
[4] S. Jehangir, S. Khan, S. Khan, S. Nazir, and A. Hussain, "Zernike Moments Based Handwritten Pashto Character Recognition Using Linear Discriminant Analysis," Mehran University Research Journal of Engineering and Technology, vol. 40, no. 1, pp. 152-159, 2021.
[5] S. Khan, A. Hafeez, H. Ali, S. Nazir, and A. Hussain, "Pioneer dataset and recognition of Handwritten Pashto characters using Convolution Neural Networks," Measurement and Control, p. 0020294020964826, 2020.
[6] S. Khan, S. Nazir, I. García-Magarino, and A. Hussain, "Deep learning-based urban big data fusion in smart cities: Towards traffic monitoring and flow-preserving fusion," Computers & Electrical Engineering, vol. 89, p. 106906, 2021.
[7] S. Khan, S. Nazir, A. Hussain, A. Ali, and A. Ullah, "An efficient JPEG image compression based on Haar wavelet transform, discrete cosine transform, and run length encoding techniques for advanced manufacturing processes," Measurement and Control, vol. 52, no. 9-10, pp. 1532-1544, 2019.
[8] Z. Liao, S. Nazir, A. Hussain, H. U. Khan, and M. Shafiq, "Software Piracy Awareness, Policy, and User Perspective in Educational Institutions," Scientific Programming, vol. 2020, 2020.
[9] S. Nazir et al., "Determination of Awareness of Piracy Level on Educational Institutions-A Questionnaire Based Study," EAI Endorsed Transactions on Energy Web, vol. 5, no. 17, 2018.
[10] Anwar Hussain, Abu Ul Fazal, and Shoib Karim, “Intra-domain User Model for Content Adaptation” in Smart Education and Smart e-Learning (pp. 285-295). Springer, Cham, 2015.
[11] Shah Nazir and Anwar Hussain, "Estimation of software birthmark- a step to measure software piracy," in The 18th International Pure Mathematics Conference 2017, Islamabad, Pakistan, 2017.
[12] Anwar Hussain, Shah Nazir, Yasir Salim, and Sara Shahzad, "User modeling for Domain-wise Learning Style variations," in 1st National Graduate Conference, Pakistan, March 15-16, 2017.
[13] Shah Nazir, Sara Shahzad, Asif Ullah, and Anwar Hussain, "Identification and analysis of project attributes affecting the decision of requirement elicitation technique," in 1st National Graduate Conference Islamabad, Pakistan, March 15-16, 2017.
[14] Shah Nazir, Anwar Hussain, Sara Shahzad, Hanif Ur Rehman, Islam Zada, Muhammad Ahsan, Zohaib Ahmad, and Abdullah Khan. Determination of awareness of piracy level on educational institutions- a questionnaire-based study. EAI Endorsed Transactions on Energy Web and Information Technologies, 5(17), 4 2018.
[15] H. Chen, S. Khan, B. Kou, S. Nazir, W. Liu, and A. Hussain, "A smart machine learning model for the detection of brain hemorrhage diagnosis based internet of things in smart cities," Complexity, vol. 2020, 2020.
[16] S. Khan, A. Hussain, S. Nazir, F. Khan, A. Oad, and M. D. Alshehr, "Efficient and reliable hybrid deep learning-enabled model for congestion control in 5G/6G networks," Computer Communications, 2021/11/04/ 2021.


Worked as Co-PI in HEC Project on Impact of Software Piracy on Acedemic Institutions

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