artificial intelligence

Yasmeen Alsaedy

M.S. Student, Computer Science
She is an AI researcher specializing in generative AI and deep learning. With a strong academic foundation and hands-on experience in machine learning, data science and artificial intelligence, she is passionate about advancing AI applications in real-world scenarios. She has contributed to cutting-edge projects, published research, and collaborated on innovative solutions that bridge the gap between AI theory and practice. Her expertise includes designing and implementing advanced data models, AI-driven visual/text computing, and deep learning architectures.

Yasser Jaber

Visiting Student Researcher ,Machine Learning Engineer at KAUST (King Abdullah University of Science and Technology).
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahmed Youssef Ragab Radwan

Visiting Student (former), Information Science Lab
Visiting student at the Information Science Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST)

Divided attention could ease wireless congestion

1 min read ·
Predicting wireless traffic using artificial intelligence could improve the reliability of future wireless communications.

Safa Khemiri

Safa Khemiri 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 In 2018 and after being ranked among the top 2% at the Tunisian national contest for entrance to engineering schools, Safa Khemiri joined the best engineering school in Tunisia, "Ecole Polytechnique de Tunisie (EPT)" where she received multidisciplinary training. In her final year, she specialized in signals and systems. Before joining KAUST for her Master’s degree, Safa had

Khalil Allouch

Khalil Allouch is a MS/PhD student at the King Abdullah University of Science and Technology (KAUST), under the supervision of Professor Mohamed-Slim Alouini. Education Khalil Allouch has studied mathematics and physics at the University of Tunis and has been among the top 1% in the Tunisian national contest of mathematics and physics in 2019. In 2022, he received his Engineering Diploma with first-class honors in multidisciplinary engineering from Ecole Polytechnique de Tunisie. Early Career Before joining the MS/Ph.D. program at KAUST, he had research experience with KAUST as a visiting

Hakim Ghazzai

Hakim is a researcher focusing on designing multi-disciplinary innovative solutions for diverse smart city applications and services.

Ferdaous Tarhouni

Ferdaous Tarhouni is an MS/PhD student at the King Abdullah University of Science and Technology (KAUST), under the supervision of Professor Mohamed-Slim Alouini. Education and Early Career Ferdaous has studied mathematics and physics at the Preparatory Institute for Engineering Studies of Tunis and has been ranked among the top 2% in the national engineering school exam in 2020. This enabled her to enter the Ecole Polytechnique de Tunisie (EPT), one of the most prestigious engineering schools in Tunisia where she received multidisciplinary training. In her final year, she specialized in

Fares Fourati

Fares Fourati is a Ph.D. student at the King Abdullah University of Science and Technology (KAUST), under the supervision of Professor Mohamed-Slim Alouini. Education 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 honors in multidisciplinary engineering from Ecole Polytechnique de Tunisie. In 2022, he received his Master of Science in electrical and computer engineering from KAUST. Early Career Before