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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

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Visual Computing Center

Meet Our People

Our primary objective is the investigation and development of efficient algorithms for the accurate simulation of natural phenomena, processes, and technical procedures to solve relevant problems in scientific and visual computing.
Dominik Michels Assistant Professor CS

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

Computer graphics and visualization technologies can show digital counterparts of our physical reality, typically addressing the macroscopic world we are familiar with. I create new technologies that can show the very tiny world around us, how atoms arrange into a complex structure up to living organisms, the virtual universe of the nanocosmos as we know it to date.
Ivan Viola 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

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

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