Website
Current Position
Assistant Professor, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.
Education
- Ph.D. in Electrical Engineering, King Abdullah University of Science and Technology, 2010-2015, Thuwal, Saudi Arabia.
- M.Sc. in Electrical Engineering, King Fahd University of Petroleum and Minerals, Dhahran, Year: 2005
- Bachelors of Engineering in Computer Systems from NED University of Engineering and Technology, Karachi, Year: 2001
- Intermediate from Adamjee Govt. Degree, Science College, Karachi, Year: 1996
Research Interests
Distribution Agnostic Bayesian Estimation of Sparse Signals.
Selected Publications
A. Ali, M. Masood, M. S. Sohail, S. N. Al-Ghadhban, and T. Y. Al-Naffouri, “Narrowband Interference Mitigation in SC-FDMA Using Bayesian Sparse Recovery,” IEEE Transactions on Signal Processing, vol. 64, no. 24, pp. 6471–6484, Dec. 2016.
A. Zaib, M. Masood, A. Ali, W. Xu, and T. Y. Al-Naffouri, “Distributed Channel Estimation and Pilot Contamination Analysis for Massive MIMO-OFDM Systems,” IEEE Transactions on Communications, vol. 64, no. 11, pp. 4607–4621, Nov. 2016.
M. Masood, L. H. Afify, and T. Y. Al-Naffouri, “Efficient Coordinated Recovery of Sparse Channels in Massive MIMO,” IEEE Transactions on Signal Processing, vol. 63, no. 1, pp. 104–118, Jan. 2015.
A. Ali, A. Al-Rabah, M. Masood, and T. Y. Al-Naffouri, “Receiver-Based Recovery of Clipped OFDM Signals for PAPR Reduction: A Bayesian Approach,” IEEE Access, vol. 2, pp. 1213–1224, 2014.
M. Masood and T. Y. Al-Naffouri, “Sparse Reconstruction Using Distribution Agnostic Bayesian Matching Pursuit,” IEEE Transactions on Signal Processing, vol. 61, no. 21, pp. 5298–5309, Nov. 2013.
Assistant Professor,
Electrical and Computer Engineering