Faculty Profile

Dr. M.Usman Joyia

Dr. Muhammad Usman Joyia

Assistant Professor
&
Head of Programs

usman.joyia@thekit.edu.pk
(068) 111 000 155 Ext. 110
Dr. Muhammad Usman Joyia is an accomplished academic with a proven track record of designing and implementing sustainable academic processes that drive long-term institutional growth. With experience in both private and government educational setups, he possesses a deep understanding of diverse academic systems and their operational dynamics.

His expertise lies in helping organizations initiate and streamline academic frameworks, ensuring smooth and effective institutional operations. He has successfully managed and hosted numerous national and international curricular and extracurricular activities, fostering student development and facilitating knowledge exchange on a broad scale.

Education

  • 2024, PhD Computer Science, National University of Computer and Emerging Sciences, Pakistan
  • 2020, MS Computer Science, National University of Computer and Emerging Sciences, Pakistan
  • 2016, BS Computer Science, National University of Computer and Emerging Sciences, Pakistan

Research Interests

  • Cyber Physical Systems
  • Industrial Internet of Things
  • Research Topics in Cross Domain Applications

Publications

  • 2024
    • 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*. IEEE.
    • 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*. IEEE.
    • 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*. IEEE.
    • Mohmand, R., Habib, U., Usman, M., Baili, J., & Nam, Y. (2024). A deep learning approach for automated depression assessment using Roman Urdu. *IEEE Access*. IEEE.
  • 2023
    • 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. MDPI.
    • 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. MDPI.
    • 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. IEEE.
    • 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. MDPI.
  • 2022
    • Ali, Z., Tanveer, T., Aziz, S., Usman, M., & Azam, A. (2022). Reassessing the performance of ARM vs X86 with recent technological shift of Apple. *In 2022 International Conference on IT and Industrial Technologies (ICIT)* (pp. 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. *In 2022 17th International Conference on Emerging Technologies (ICET)* (pp. 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. *In 2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)* (pp. 1–7). IEEE.

The last date for the admission test is scheduled for Sept 22, 2025.