artificial intelligence

Najmeddine Dhieb

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)

Broadening horizons for people with quadriplegia

1 min read ·
An assistive technology uses magnetic skin to support freedom of movement for people with quadriplegia.

Brain-on-a-chip would need little training

1 min read ·
A neural network that mimics the biology of the brain can be loaded onto a microchip for faster and more efficient artificial intelligence.

Perovskites used to make efficient artificial retina

1 min read ·
KAUST researchers have built an artificial electronic retina that mimics the behaviour of the eye’s rod retina cells. Their artificial retina can recognise handwritten numbers.
Montserrat Ramirez de Angel receiving the Best Pitch Award at IEEE 2024 Sensors Conference

Giving voice to the voiceless through assistive technology

2 min read ·
Artificial skin coupled with sensors and machine learning technology allows people with voice disorders to communicate using soundless mouth movements.

Fellipe Augusto Araújo Leandro

Fellipe received his bachelor degree in Electrical Engineering from Federal University of Rio Grande do Norte (UFRN), Brazil, in 2019. During his undergraduation, he worked in researches related to microcontroller-based embedded systems platforms, with focus in embedded software programming and PCB design. In 2019, he worked as an intern in a startup company developing embedded software for a Lora-based biotelemetry system, and also in another startup developing PCB design for low-cost Educational robotics and electronics. In 2020, he joined KAUST to research under the supervision of Professor

Abdurauf Abdurakhmanov