Affiliations

• Electrical and Computer Engineering
• Statistics

Education Profile

• Ph.D., Stanford University, Stanford, U.S., 2004.
• M.S., Georgia Institute of Technology, U.S., 1998.
• B.S., Mathematics and Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia

Research Interests

​Professor Al-Naffouri's research interests lie in the areas of adaptive, sparse and statistical signal processing and their applications. These applications include communications, ultrawideband and ultrasound-based localization and tracking. His research also extends to the design and analysis of wireless networks.

Selected Publications

• T. Y. Al-Naffouri; M. Moinuddin; N. Ajeeb; B. Hassibi; and A. L. Moustakas, “On the Distribution of Indefinite Quadratic Forms in Gaussian Random Variables,” IEEE Transactions on Communications, vol. 64, no. 1, Jan. 2016.
• M. Masood, L. Afify, and Tareq Y. Al-Naffouri, "Efficient Coordinated Recovery of Sparse Channels in Massive MIMO," IEEE Transactions on Signal Processing, vol. 63, no. 1, Jan. 2015.
• T. Y. Al-Naffouri, A. A. Quadeer, and G. Caire, "Impulse Noise Estimation and Removal for OFDM Systems," IEEE Transactions on Communications, vol. 62, no. 3, Mar. 2014.
• Mudassir Masood, and T. Y. Al-Naffouri, "Sparse Reconstruction Using Distribution Agnostic Bayesian Matching Pursuit", IEEE Transactions on Signal Processing, vol.61, no. 21, Nov. 1, 2013.
• T. Y. Al-Naffouri, M. Sharif, and B. Hassibi, "How much Does Transmit Correlation Affect the Sum-Rate Scaling of MIMO Gaussian Broadcast Channels?", IEEE Transactions on Communications, no. 2, Feb. 2009.