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.