mshafi@su.edu.om Phone: +968 26850100 Extn: 291 Location: Rustaq building
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Muhammad Shafi received his PhD from Loughborough University in the UK in 2010. In 2005, he graduated from the Ghulam Ishaq Khan Institute of Engineering Sciences and Technology with a bachelor's degree. He has served at various universities, including the University of Engineering and Technology Peshawar, the University of Science and Technology Bannu, the Islamic University in Medina, Saudi Arabia, and Air University Islamabad. Currently, he is serving as an Associate Professor at Sohar University in Oman. Computer vision, machine learning, human-computer interaction, mobile computing, and software engineering are his areas of research. He has published more than 50 papers in various reputed journals and conferences. He has also worked on software development projects for various multinational companies.
- PhD in Computer Science, Loughborough University, UK, 2010
- B.Sc. In Computer Science, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Pakistan, 2005
- Machine Learning
- Data Science
- Computer Vision
- Data Structures
- Theory of Computation
- Artificial Intelligence
- Machine Learning
- Computer Vision
- Human-computer Interaction
- Software Engineering
- Jadoon, G., Shafi, M., & Jan, S. (2019). A Model-Oriented Requirements Traceability Framework for Small and Medium Software Industries. International Arab Conference on Information Technology (ACIT), Al Ain, United Arab Emirates, 91-96.
- Saleem, N., Irfan Khattak, M., Ali, M. Y., & Shafi, M. (2019). Deep neural network for supervised single-channel speech enhancement. Archives of Acoustics, 44(1), 3-12.
- Ali, U., Ullah, S., Shafi, M., Shah, S. A., Shah, I. A., & Flint, J. A. (2019). Design and comparative analysis of conventional and metamaterial‐based textile antennas for wearable applications. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 32(6), e2567.
- Saleem, N., Khattak, M. I., & Shafi, M. (2018). Unsupervised speech enhancement in low SNR environments via sparseness and temporal gradient regularization. Applied Acoustics, 141, 333-347.
- Ibeas, A., Shafi, M., Ishfaq, M., & Ali, M. (2017). Vaccination controllers for SEIR epidemic models based on fractional order dynamics. Biomedical Signal Processing and Control, 38, 136-142.
