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Visual Computing Center

Over the past decades, Visual Computing has become a key enabling technology for a diverse set of applications spanning scientific discovery, medicine, consumer electronics, and entertainment, to name just a few.

Visual Computing Center (VCC) Faculty

Scanning in the Fourth Dimension

Three-dimensional (3D) computed tomography is a widely used technology that visualizes an object's external an

2019.02.17visualization

KAUST Researchers Are the First to Generate Images of Realistic and Highly Detailed Texture Maps of Gigapixel in Size Using Deep Neural Networks

KAUST researchers Anna Fruehstueck, Dr. Ibraheem Alhashim, and Prof. Peter Wonka have developed a novel technique to generate images of…

2019.07.02Deep learning

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KAUST Researchers Are the First to Generate Images of Realistic and Highly Detailed Texture Maps of Gigapixel in Size Using Deep Neural Networks

2019.06.20immersive analytics

Alumni Focus: Ronell Sicat

2019.03.24AI

Student Focus: Adel Bibi

2019.02.17visualization

Scanning in the Fourth Dimension

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Visual Computing Center

Meet Our People

While we, humans, are the creators of powerful machines that can perceive the world the way we do, we have absolutely no idea why these machines work so effectively. I try to make a small dent in this grand question.
Adel Bibi PhD Student, EE

Learn, research, share, apply, help, and repeat to have an impact!
I am a curios scholar with an appetite for learning. I want to understand the world around me and be at the forefront of the unknown. Moreover, I am fully dedicated to fulfilling my duty of passing on knowledge to future generations.
Modar Alfadly PhD Student, CS

When you see what is here at KAUST there is a massive scope for personal development, what were ideas before I have been actually able to realize them here at KAUST that was not possible in other places where I have worked.
Wolfgang Heidrich KAUST News - Using science to push the boundaries of photography

The unique vision and interdisciplinarity of KAUST make it the most exciting place for research on visually understanding massive data, whether from neuroscience, materials science, computational fluid dynamics, mathematical physics, neural networks, or other areas. My research is in visualization, and few have said it as well as John Tukey: "The greatest value of a picture is when it forces us to notice what we never expected to see." (Exploratory Data Analysis, 1977)

Markus Hadwiger Associate Professor CS

Machine learning and in particular computer vision enable smarter algorithms than ever before. What's next? Mobile robotics with artificial intelligence.
Matthias Mueller PhD Student, EE

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