Tareq Al-Naffouri is a Professor of Electrical and Computer Engineering (ECE) and Principal investigator of the Information System Lab (ISL). He is also an active member of the Sensor Initiative (SI) at the King Abdullah University of Sciences and Technology, Saudi Arabia.

Education and early career

Tareq Al-Naffouri received the B.S. degrees in mathematics and electrical engineering (with first honors) from King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, the M.S. degree in electrical engineering from the Georgia Institute of Technology, Atlanta, and the Ph.D. degree in electrical engineering from Stanford University, Stanford, CA, in 2004. He was a visiting scholar at California Institute of Technology in 2005 and during the summers of 2006 and 2008. He was a Fulbright scholar at the University of Southern California in 2008.  In 2012, he joined the Electrical Engineering Department at King Abdullah University of Science and Technology (KAUST) where he is currently a professor.

Areas of expertise and current scientific 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.

Honors & Awards

  • Innovation Award Awarded, 2016, by Prince Saud bin Nayef bin Abdulaziz, Governor of Eastern Province for having more than 10 issued patents.
  • Outstanding Research Award, 2016, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.
  • Best paper award, 2015, SmallNets’2015 workshop organized in conjunction with IEEE International Conference on Communications (ICC’2015), London, UK.
  • Almarai Award for Innovative Research in Communication, 2009
  • IEEE Education Society Chapter Achievement Award, 2008
  • Fulbright Scholar, 2008, Electrical Engineering Department, University of Southern California (USC)
  • Best student paper award, 2001, IEEE-EURASIP workshop on nonlinear signal and image processing.

Education Profile

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


Series of Dr.Al Naffouri's Talks

Selected Publications

Ghaffar, F. A., Al-Naffouri, T. Y., Mobeen, M. K., Salama, K. N., Shamim, A. (2012). A Compact QPSK Modulator with Low Amplitude and Phase Imbalance for Remote Sensing Applications, Canadian Journal on Electrical and Electronics Engineering. https://hdl.handle.net/10754/246373
Douik, A., Sorour, S., Tembine, H., Alouini, M.-S., & Al-Naffouri, T. Y. (2014). A game theoretic approach to minimize the completion time of network coded cooperative data exchange. 2014 IEEE Global Communications Conference. doi:10.1109/glocom.2014.7037034
Bouchoucha, T., Ahmed, S., Al-Naffouri, T. Y., & Alouini, M.-S. (2015). Closed-form solution to directly design face waveforms for beampatterns using planar array. 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). doi:10.1109/icassp.2015.7178393
Eltayeb, M. E., Al-Naffouri, T. Y., & Heath, R. W. (2018). Compressive Sensing for Millimeter Wave Antenna Array Diagnosis. IEEE Transactions on Communications, 66(6), 2708–2721. doi:10.1109/tcomm.2018.2790403
Suliman, M. A., Alrashdi, A. M., Ballal, T., & Al-Naffouri, T. Y. (2017). SNR Estimation in Linear Systems With Gaussian Matrices. IEEE Signal Processing Letters, 24(12), 1867–1871. doi:10.1109/lsp.2017.2757398
Arshad, R., Elsawy, H., Sorour, S., Alouini, M.-S., & Al-Naffouri, T. Y. (2017). Mobility-Aware User Association in Uplink Cellular Networks. IEEE Communications Letters, 21(11), 2452–2455. doi:10.1109/lcomm.2017.2729560