KAUST provides optimal conditions for an international scientific excellence.
Liquid or gas, time or frequency, analog or digital, image or sound, everything is a signal. To conquer the universe, we need to master the signals first.

Education Profile

  • Master of Science in Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia (January 2021 – Present)
  • Diplôme d’ingénieur in Multidisciplinary Engineering, Tunisia Polytechnic School, Tunis, Tunisia (September 2017 - September 2020)
  • Undergraduate degree in Mathematics and Physics, University of Sfax - Preparatory Institute for Engineering Studies, Sfax, Tunisia (September 2015 - July 2017)
     

Early Career

  • Visiting Student, King Abdullah University of Science and Technology (KAUST) (May 2020 – September 2020)
  • Graduate Research, Tunisia Polytechnic School, Tunis, Tunisia (May 2020 – September 2020)
  • Huawei’s Seeds for the Future Program, Huawei, Shenzhen, China (July 2019)
  • Engineering Intern, Biware Consulting, Tunis, Tunisia (June 2019 – August 2019)
  • Summer Intern, Tunisie Telecom, Sfax, Tunisia (July 2018)

Fares Fourati is an MS/PhD candidate at the Communication Theory Lab (CTL), King Abdullah University of Science and Technology (KAUST), under the supervision of Professor Mohamed-Slim Alouini.

Education and Early Career

Fares Fourati has studied Mathematics and Physics at the University of Sfax and has been among the top 1% in the Tunisian national contest of mathematics and physics in 2017. In 2020, he received his Diplôme d’ingénieur with first class honours in multidisciplinary engineering from Tunisia Polytechnic School.
Before joining the MS/PhD program at KAUST, he had research experience with KAUST as a visiting student under the supervision of Professor Mohamed-Slim Alouini. He had previous research experience with SERCOM laboratory at Tunisia Polytechnic School. He participated in several data science competitions, became a Kaggle competitions expert and was ranked in the top 1% of the contestants. In summer 2019, he was selected among the 15 best engineering students in Tunisia to participate in the “Huawei Seeds for the Future” program in China. 

Scientific Interest 

Fares Fourati is interested in artificial intelligence and machine learning, and their application for satellite communication. 

Publications

Google Scholar

LinkedIn

Researchgate