Computer Vision

Karen Sanchez

Postdoctoral Research Fellow

Computer Vision machine learning AI for healthcare deep learning Medical imaging

Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy.

Aznaur Aliev

M.S. Student

AI Deep learning Computer Vision Reinforcement Learning

Hani A. Al Majed

M.S. Student

machine learning Computer Vision AI4Science

Electrical and Computer Engineering Master's student at KAUST under the supervision of Professor Bernard Ghanem, with expertise in machine learning workflow automation, physics-informed neural operators, and AI for Science, particularly in chemistry applications. Passionate about leveraging AI to solve complex scientific problems.

Ahmad Sait

M.S. Student, Computer Science

Computer Vision machine learning Deep generative models

Ahmad Sait is a Master's student in the Computer Science program at KAUST. Before joining KAUST, Ahmad obtained his Bachelor's degree in Computer Science from King Abdulaziz University, Saudi Arabia. Ahmad is also a KAUST Academy graduate from the AI track, having been under the supervision of Prof. Naeemullah Khan. The Academy provided him with seven opportunities to assist in teaching students enrolled in subsequent cohorts.

Perovskites used to make efficient artificial retina

1 min read · Wed, Mar 2 2022

artificial intelligence Computer Vision sensors electrical engineering

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.

Juan Pablo Peña (Student)

Visiting Student, Electrical and Computer Engineering

Computer Vision Industrial automation Product development

Juan Pablo Peña is part of the Visiting Students Research Program at King Abdullah University of Science and Technology (KAUST). During his Internship, he is conducting his research at the Sensors Lab, in the Electrical Engineering Department, CEMSE, KAUST. Education and Early Career Juan Pablo Peña graduated from Mecatronichs Engineering B.S. at the National Autonomous University of Mexico, Mexico City on May 2019. Additionally, on 2019 summer he worked on an augmented reality simulation for visual impairments created during his research internship at Ryerson University, Canada. Similarly, on

Abdurauf Abdurakhmanov

M.S. Student, Electrical and Computer Engineering

artificial intelligence edge computing FPGA Computer Vision