Professor Al-Naffouri's research focuses on designing and analyzing wireless communication systems, particularly spectrum sharing, cognitive radio, energy efficiency and security within the context of advanced technologies like 5G.

Biography

Tareq Al-Naffouri is a professor in the Electrical and Computer Engineering (ECE) Program at King Abdullah University of Science and Technology (KAUST).

Al-Naffouri earned a B.S. (Hons.) in Mathematics and Electrical Engineering from King Fahd University of Petroleum and Minerals, Saudi Arabia, 

During the summers of 2005 and 2006, Al-Naffouri was a visiting scholar at the California Institute of Technology, U.S. He was a Fulbright Scholar at the University of Southern California, U.S., in 2008.

An IEEE Senior Member, he has produced over 370 publications in journals and conference proceedings and 24 issued/pending patents. Al-Naffouri received the IEEE Education Society Chapter Achievement Award (2008), the Almarai Award for Innovative Research in Communication (2009) and the Abdul Hameed Shoman Prize for Innovative Research in IoT (2022).

Research Interests

Inference and Learning and their applications to Wireless Communications, Localization, Smart Cities, and Smart Health

Awards and Distinctions

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

Education

Doctor of Philosophy (Ph.D.)
Electrical Engineering, Stanford University, United States, 2004
Master of Science (M.S.)
Electrical Engineering, Georgia Institute of Technology, United States, 1998

Selected Publications

  • Sarieddeen, H. ., Alouini, M.-S. ., & Al-Naffouri, T. Y. (2021). An Overview of Signal Processing Techniques for Terahertz Communications. Proceedings of the IEEE ( Volume: 109, Issue: 10, October 2021).
  • 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.
  • Faisal, A. ., Sarieddeen, H. ., Dahrouj, H. ., Al-Naffouri, T. Y., & Alouini, M.-S. . (2020). Ultramassive MIMO Systems at Terahertz Bands: Prospects and Challenges.
  • Alghamdi, R. ., Alhadrami, R. ., Alhothali, D. ., Almorad, H. ., Faisal, A. ., Helal, S. ., … Alouini, M.-S. . (2020). Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques.
  • Chen, H. ., Sarieddeen, H. ., Ballal, T. ., Wymeersch, H. ., Alouini, M.-S. ., & Al-Naffouri, T. Y. (2022). A Tutorial on Terahertz-Band Localization for 6G Communication Systems.
  • Sarieddeen, H. ., Alouini, M.-S. ., & Al-Naffouri, T. Y. (2019). Terahertz-Band Ultra-Massive Spatial Modulation MIMO. IEEE Journal on Selected Areas in Communications ( Volume: 37, Issue: 9, September 2019).
  • Saeed, N. ., Celik, A. ., Al-Naffouri, T. Y., & Alouini, M.-S. . (2019). Underwater optical wireless communications, networking, and localization: A survey. Science Direct.
  • Arshad, R. ., ElSawy, H. ., Sorour, S. ., Al-Naffouri, T. Y., & Alouini, M.-S. . (2016). Handover Management in 5G and Beyond: A Topology Aware Skipping Approach.
  • Arshad, R. ., ElSawy, H. ., Sorour, S. ., Al-Naffouri, T. Y., & Alouini, M.-S. . (2017). Velocity-Aware Handover Management in Two-Tier Cellular Networks.
  • Douik, A. ., Dahrouj, H. ., Naffouri, T. Y. A., & Alouini, M.-S. . (2016). Hybrid Radio/Free-Space Optical Design for Next Generation Backhaul Systems.
  • Dahrouj, H. ., Douik, A. ., Rayal, F. ., Al-Naffouri, T. Y., & Alouini, M.-S. . (2015). Cost-effective hybrid RF/FSO backhaul solution for next generation wireless systems.