Muhammad Umar Aftab

Assistant Professor
  • Department of Computer Science
  • (041) 111-128-128
  • Ext: 198


Dr. Muhammad Umar Aftab joined National University of Computer & Emerging Sciences (FAST-NUCES) as an Assistant Professor in 2020. Before this, he was a research associate in the School of Information and Software Engineering (SISE), University of Electronic Science and Technology of China (UESTC). He also worked as a Lecturer in Department of Computer Science and IT, University of Sargodha, Lyallpur Campus, Faisalabad. Dr. Muhammad Umar Aftab did his PhD in the field of Information Security which lies under the main filed of Computer Science from SISE, UESTC under the Chinese Government Scholarship. Moreover, he received his Master’s Degree in Computer Science from the National Textile University, Faisalabad, Pakistan. He has published several articles in reputed journals and conferences. He worked under two funded projects and currently working on a joint project between Chinese and Pakistani Government.


PhD (Software Engineering), 2020

University of Electronic Science and Technology of China

MS (Computer Science), 2014

National Textile University, Faisalabad, Pakistan

BS (Information Technology), 2011

Government College University Faisalabad, Pakistan


1. A.A Assefa, W. Tian, K. N. Acheampong, M. U. Aftab, and M. Ahmad, “Small-Scale and Occluded Pedestrian Detection Using Multi Mapping Feature Extraction Function and Modified Soft-NMS”, Computational Intelligence and Neuroscience, (IF. 3.120), 2022.

2. Muhammad Umar Aftab, Ali Hamza, Ariyo Oluwasanmi, Xuyun Nie, Muhammad Shahzad Sarfraz, Danish Shehzad, Zhiguang Qin, Ammar Rafiq, “Traditional and Hybrid Access Control Models: A Detailed Survey”, Security and Communication Networks, vol. 2022, Article ID 1560885, 12 pages, 2022.
(SCI, IF:1.791)

3. Son Tung Ngo, Jafreezal Jaafar, Izzatdin Abdul Aziz, Muhammad Umar Aftab, Giang Hoang Nguyen, Ngoc Anh Bui, “Metaheuristic Algorithms Based on Compromise Programming for the Multi-Objective Urban Shipment Problem”. Entropy 2022, 24, 388. (SCI, IF:2.524)

4. Jianfei Sun, Yu Yuan, MingJian Tang, Xiaochun Cheng, Xuyun Nie, Muhammad Umar Aftab Privacy-preserving Bilateral Fine-grained Access Control for Cloud-enabled Industrial IoT Healthcare, IEEE Transactions on Industrial Informatics, 2021. (SCI, IF:10.215)

5. Junaid Hassan, Danish Shehzad, Insaf Ullah, Fahad Algarni, Muhammad Umar Aftab, Muhammad Asghar Khan, M Irfan Uddin, “A Lightweight Proxy Re-Encryption Approach with Certificate-Based and Incremental Cryptography for Fog Enabled E-Healthcare,” Security and Communication Networks, 2021. (SCI, IF:1.791)

6.Shahid Latif, Zil e Huma, Sajjad Shaukat Jamal, Fawad Ahmed, Jawad Ahmad, Adnan Zahid, Kia Dashtipour, Muhammad Umar Aftab, Muhammad Ahmad, Qammer Hussain Abbasi, Intrusion Detection Framework for the Internet of Things using a Dense Random Neural Network IEEE Transactions on Industrial Informatics, 2021. (SCI, IF:10.215)

7. Muhammad Ahmad, Rana Aamir Raza, Manuel Mazzara, Salvatore Distefano, Ali Kashif Bashir, Adil Khan, Muhammad Shahzad Sarfraz Muhammad Umar Aftab, “Multi Sensor-based Implicit User Identification,” CMC-Computers Materials & Continua, 2021. (SCI, IF:4.890)

8. Ariyo Oluwasanmi, Muhammad Umar Aftab, Zhiguang Qin, Son Tung Ngo, Thang Van Doan, Son Ba Nguyen, Son Hoang Nguyen, “Transfer Learning and Semisupervised Adversarial Detection and Classification of COVID-19 in CT Images,” Complexity, 2021. (SCI, IF:2.462)

9. Ariyo Oluwasammi, Muhammad Umar Aftab, Zhiguang Qin, Son Tung Ngo, Thang Van Doan, Son Ba Nguyen, Son Hoang Nguyen, Giang Hoang Nguyen, “Features to Text: A Comprehensive Survey of Deep Learning on Semantic Segmentation and Image Captioning,” Complexity, vol. 2021, 2021. (SCI, IF:2.462)

10. Negalign Wake Hundera, Chuanjie Jin, Muhammad Umar Aftab, Dagmawit Mesfin, Sachin Kumar, “Secure outsourced attribute-based signcryption for cloud-based Internet of Vehicles in a smart city,” Annals of Telecommunications, pp. 1-12, 2021. (SCI, IF:1.546)

11. Ariyo Oluwasanmi, Muhammad Umar Aftab , Edward Baagyere, Zhiguang Qin, Muhammad Ahmad, Manuel Mazzara. Attention Autoencoder for Generative Latent Representational Learning in Anomaly Detection Sensors, 2021. (SCI, IF: 3.576) (Accepted)

12. Ngo Tung Son, Jafreezal Jaafar, Izzatdin Abdul Aziz, Bui Ngoc Anh, Hoang Duc Binh, Muhammad Umar Aftab, “A Compromise Programming to Task Assignment Problem in Software Development Project,” CMC-Computers Materials & Continua, 2021. (SCI, IF:4.890)

13. Muhammad Umar Aftab, Ariyo Oluwasanmi, Abdullah Alharbi, Osama Sohaib, Xuyun Nie, Zhiguang Qin, Son Tung Ngo., “Secure and Dynamic Access Control for the Internet of Things (IoT) based traffic system,” PeerJ Computer Science, 2021. (SCI, IF:3.091)

14. Yasir Munir, Muhammad Umar Aftab, Danish Shehzad, Ali M Aseere, Habib Shah, “Effective Passive Multi-Target Localization Using Maximum Likelihood,” Wireless Communications and Mobile Computing, 2021. (SCI, IF:2.336)

15. Zakria, Jianhua Deng, Yang Hao, Muhammad Saddam Khokhar, Rajesh Kumar, Jingye Cai, Jay Kumar, Muhammad Umar Aftab, Trends in Vehicle Re-Identification Past, Present, and Future: A Comprehensive Review , Mathematics, pp. 1-35, 2021 (SCI, IF: 2.258)

16. Zakria, J. Deng, J. Cai, Muhammad Umar Aftab, M. S. Khokhar, R. Kumar, “Visual Features with Spatio-Temporal-Based Fusion Model for Cross-Dataset Vehicle Re-Identification,” Electronics, vol. 9, 2020. (SCI, IF:2.412)
Muhammad Umar Aftab et al., “A hybrid access control model with dynamic COI for secure localization of satellite and IoT-based vehicles,” IEEE Access, vol. 8, pp. 24196–24208, 2020. (SCI, IF:4.098)

17. A. Oluwasanmi, Muhammad Umar Aftab, A. Shokanbi, J. Jackson, B. Kumeda, and Z. Qin, “Attentively conditioned generative adversarial network for semantic segmentation,” IEEE Access, vol. 8, pp. 31733–31741, 2020. (SCI, IF:4.098)

18. Muhammad Umar Aftab et al., “Permission-based separation of duty in dynamic role-based access control model,” Symmetry (Basel)., vol. 11, no. 5, p. 669, May 2019. (SCI, IF:2.143)

19. A. Oluwasanmi, Muhammad Umar Aftab, E. Alabdulkreem, B. Kumeda, E. Y. Baagyere, and Z. Qin, “CaptionNet: automatic end-to-end siamese difference captioning model with attention,” IEEE Access, vol. 7, pp. 106773–106783, 2019. (SCI, IF:4.098)

20. A. Oluwasanmi, E. Frimpong, Muhammad Umar Aftab, E. Y. Baagyere, Z. Qin, and K. Ullah, “Fully convolutional captionnet: siamese difference captioning attention model,” IEEE Access, vol. 7, pp. 175929–175939, 2019. (SCI, IF:4.098)

21. Zakria, J. Cai, J. Deng, Muhammad Umar Aftab, M. S. Khokhar, and R. Kumar, “Efficient and deep vehicle re-identification using multi-level feature extraction,” Appl. Sci., vol. 9, no. 7, p. 1291, 2019. (SCI, IF:2.217)

22. B. Ngoc Anh,N. Tung Son,P. T. Lam, L.P. Chi, N. H. Tuan, Muhammad Umar Aftab et al, “A computer-vision based application for student behavior monitoring in classroom,” Appl. Sci., vol. 9, no. 22, p. 4729, 2019. (SCI, IF:2.217)

23. Addis Abebe Assefa, Wenhong Tian, Negalign Wake Hundera, and Muhammad Umar Aftab, “Crowd Density Estimation in Spatial and Temporal Distortion Environment Using Parallel Multi-Size Receptive Fields and Stack Ensemble Meta-Learning”, Computer Science, (IF. 2.940), 2022.

Collaborations at National and International Level

Detail of Funded Projects