Ph.D. degree in electrical engineering from the King Abdullah University of Science and Technology (KAUST). ,Assistant Professor, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.
Research Interests
- Distribution Agnostic Bayesian Estimation of Sparse Signals.
- Compressive sensing.
- Massive MIMO.
- Physical layer security.
- Machine learning.
Qualifications
Education
- Doctor of Philosophy (Ph.D.)
- Electrical Engineering, King Abdullah University of Science and Technology, Saudi Arabia, 2015
- Master of Science (M.S.)
- Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia, 2005
- Bachelor of Engineering (B.Eng.)
- Computer Engineering, NED University of Engineering and Technology, Pakistan, 2001
Licenses and Certifications
- Intermediate from Adamjee Govt. Degree, Science College, Karachi, Sat, Jan 1 1994 - Mon, Jan 1 1996
- BVS Parsi High School, SSC, Science, Fri, Jan 1 1988 - Sat, Jan 1 1994
Selected Publications
- Khalil, R. A., Saeed, N. ., Masood, M. ., Fard, asaman M., Alouini, M.-S. ., & Al-Naffouri, T. Y. (2021). Deep Learning in the Industrial Internet of Things: Potentials, Challenges, and Emerging Applications.
- Zaib, A. ., Masood, M. ., Ghogho, M. ., & Al-Naffouri, T. Y. (2015). Distributive estimation of frequency selective channels for massive MIMO systems. 2015 23rd European Signal Processing Conference (EUSIPCO). Presented at the. Nice, France: IEEE.
- Masood, M. ., Afify, L. H., & Al-Naffouri, T. Y. (2014). Efficient Coordinated Recovery of Sparse Channels in Massive MIMO.
- Ali, A. ., Al-Rabah, A. ., Masood, M. ., & Al-Naffouri, T. Y. (2014). Receiver-Based Recovery of Clipped OFDM Signals for PAPR Reduction: A Bayesian Approach.
- Masood, M. ., & Al-Naffouri, T. Y. (2013). Sparse Reconstruction Using Distribution Agnostic Bayesian Matching Pursuit.