Muhammad Usman Joyia

Assistant Professor

Department of Computer Science
usman.joyia@nu.edu.pk
(061) 111-128-128

Introduction

Muhammad Usman Joyia has stepped into a new leadership role as Head of Department at National University of Computer & Emerging Sciences – FAST, alongside his continuing position as Assistant Professor. With a PhD in Computer Science (Magna Cum Laude) and extensive academic experience, Dr. Joyia has built a strong track record in academic process development, event management, and educational leadership. His journey includes impactful teaching and leadership roles at FAST NUCES Faisalabad, Khanpur Institute of Technology, and National Textile University – NTU. He has also chaired prestigious academic conferences such as ICIT 2024, and 2023, driving knowledge transfer and collaboration across the education sector. In his new role, he will focus on advancing machine learning, data science, and academic innovation, while fostering student growth and institutional excellence.

Education

PhD (Computer Science), FAST NUCES CFD, 2024

MS (Computer Science), FAST NUCES CFD, 2019

BS (Computer Science), FAST NUCES CFD, 2016

Publications

Usman, M., Sarfraz, M. S., Aftab, M. U., Habib, U., & Javed, S. (2024). A blockchain based scalable domain access control framework for industrial internet of things. IEEE Access, 12, 56554–56570.

Cheema, A. A., Sarfraz, M. S., Usman, M., Zaman, Q. U., Habib, U., & Boonchieng, E. (2024). Kt-cdulf: Knowledge transfer in context-aware cross-domain recommender systems via latent user profiling. IEEE Access.

Raza, S. A., Habib, U., Usman, M., Cheema, A. A., & Khan, M. S. (2024). MMGANGUARD: a robust approach for detecting fake images generated by GANS using multi-model techniques. IEEE Access, 12, 104153–104164.

Mohmand, R., Habib, U., Usman, M., Baili, J., & Nam, Y. (2024). A deep learning approach for automated depression assessment using roman urdu. IEEE Access.

Usman, M., Sarfraz, M. S., Habib, U., Aftab, M. U., & Javed, S. (2023). Automatic hybrid access control in scada-enabled iiot networks using machine learning. Sensors, 23(8), 3931.

Zaidi, T., Usman, M., Aftab, M. U., Aljuaid, H., & Ghadi, Y. Y. (2023). Fabrication of flexible role-based access control based on blockchain for internet of things use cases. IEEE Access, 11, 106315–106333.

Javed, S., Usman, M., Sandin, F., Liwicki, M., & Mokayed, H. (2023). Deep ontology alignment using a natural language processing approach for automatic M2M translation in IIoT. Sensors, 23(20), 8427.

Aziz, S., Sarfraz, M. S., Usman, M., Aftab, M. U., & Rauf, H. T. (2023). Geo-spatial mapping of hate speech prediction in Roman Urdu. Mathematics, 11(4), 969.

Ali, Z., Tanveer, T., Aziz, S., Usman, M., & Azam, A. (2022). Reassessing the performance of arm vs x86 with recent technological shift of apple. 2022 International Conference on IT and Industrial Technologies (ICIT), 01–06. IEEE.

Aziz, S., Usman, M., Azam, A., Ahmad, F., Bilal, M., & Cheema, A. A. (2022). Analysing machine learning techniques for cyberbullying detection: A review study. 2022 17th International Conference on Emerging Technologies (ICET), 247–252. IEEE.

Zaidi, T., Aziz, S., Usman, M., Azam, A., Cheema, A. A., & Ajmal, S. (2022). Edge Computing and Computational Task Offloading Analysis–A review study. 2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE), 1–7. IEEE.

Collaborations at National and International Level

Machine Learning Group Luleå University of Technology Sweden

Detail of Funded Projects

FRSG NUCES 2024