With its motto "Through inspiration, discovery" and its fabulous campus, KAUST indeed has inspired me since my first visit in 2015. With its superior and influential faculty, it provided me with extraordinary experiences on personal, academic, and professional levels.

Current Position

Postdoctoral Fellow at École de technologie supérieure, Montreal, QC, Canada


Mohammad Alkhodary received his B.Sc. in Communication Engineering from the University of Science and Technology, Sana'a Yemen in 2008. He received his M.Sc. and Ph.D. from the Electrical Engineering Department at King Fahd University of Petroleum and Minerals in 2012, and 2017 respectively. He joined KAUST as an intern for several times in the period from 2014-2018. He was a visiting scholar at GeorgiaTech, Atlanta, US in 2017. 

Research Interests

Dr. Alkhodary interests include application of machine learning on radar imaging, Bayesian inference and its applications on signal processing, compressive sensing, and ultra-wideband communications. 

Education Profile

PhD in Electrical Engineering from KFUPM, Dhahran, Saudi Arabia,  Jan 2013 - May 2017. 
MSc in Telecommunication Engineering from KFUPM, Dhahran, Saudi Arabia, Nov 2008 - Nov 2011.
Bs in Communication Engineering from University of Science and Technology, Sanaa, Yemen, Dec 2004 – Jul 2008.

Areas of Expertise and Research Interests

  • Machine Learning 
  • Bayesian Compressive Sensing 
  • Radar Imaging 
  • Ultra-wideband communication 

Selected Publications

M. T. Alkhodary, T. Ballal, T. Y. Al-Najfouri, and A. H. Muqaibel, “Low-sampling-rate M-ary multiple access UWB communications in multipath channels,” 2015 23rd European Signal Processing Conference (EUSIPCO), Aug. 2015.