Dr. Al-Naffouri received his B.S. degrees in Mathematics and Electrical Engineering (with first honors) in 1994 from King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. He obtained his M.S. degree in electrical engineering from Georgia Institute of Technology, Atlanta, in 1998, and his Ph.D. in Electrical Engineering from Stanford University, CA in 2004. He was a visiting scholar at California Institute of Technology, Pasadena, CA Jan-Aug, 2005 and during the summer of 2006. He was a Fulbright scholar at the University of Southern California Feb-Sep 2008.

He has held internship positions at NEC Research Labs, Tokyo, Japan in 1998, Adaptive Systems Lab, University of California at Los Angeles in 1999, National Semiconductor, Santa Clara, CA, in 2001 and 2002, and Beceem Communications Santa Clara, CA, in 2004. Dr Al-Naffouri is currently an Associate Professor at the Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Saudi Arabia and jointly at the Electrical Engineering Department, King Abdullah University of Science and Technology (KAUST).

His research interests lie in the areas of adaptive and statistical signal processing and their applications to wireless communications, seismic signal processing, and in multiuser information theory. He has recently been interested in compressive sensing and random matrix theory and their applications. Dr. Al-Naffouri has over 70 publications in Journal and Conference Proceedings, 9 standard contributions, 4 issued patents and 4 pending. Dr Al-Naffouri is the recipient of a 2001 best student paper award at the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP) 2001 for his work on adaptive filtering analysis, the IEEE Education Society Chapter Achievement Award in 2008, and Al-Marai Award for innovative research in communication in 2009.