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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.

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CEMSE New Faculty: Mohamed Elhoseiny, Assistant Professor of Computer Science

Prior to joining the KAUST CEMSE Division earlier this year, Mohamed Elhoseiny received his Ph.D. degree from Rutgers University, New…

2019.11.07artificial intelligence

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KAUST CEMSE AMCS CS STAT VCC ECRC P RICHTARIK Less Chat Leads To More Work Machine Learning

Less chat leads to more work for machine learning

Deep analysis of the way information is shared among parallel computations increases efficiency to accelerate machine learning at scale.

2019.10.16machine learning

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NRW’s EUR 1.25M Artificial Intelligence Grant awarded to Dominik L. Michels

Dominik L. Michels, Assistant Professor of Computer Science and Applied Mathematics, and Head of the Computational Sciences Research Group…

2019.10.15grants

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The NANOVIS team wins the 1st Place in Graph Drawing Contest 2019

The NANOVIS team has won the 1st Place in Graph Drawing Contest 2019 under the category of "Creative Topic #2 Meal Ingredients" on their

2019.09.26visualization

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02 Dec
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P-Richtarik

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ECRC
Graduate Seminar
Proximal Splitting Methods for Convex Optimization: An Introduction
Laurent Condat 12:00-13:00, Building 9, Level 2, Hall 1, Room 2322

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Visual Computing Center

Meet Our People

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

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

Virtual reality is an alternative reality no more. With my work on visualization tools for artificial intelligence and machine learning, I challenge the greatest ally to empower society with new knowledge for a smarter and secure world.
Bernard Ghanem Associate Professor EE

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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News

CEMSE New Faculty: Mohamed Elhoseiny, Assistant Professor of Computer Science

Less chat leads to more work for machine learning

NRW’s EUR 1.25M Artificial Intelligence Grant awarded to Dominik L. Michels

The NANOVIS team wins the 1st Place in Graph Drawing Contest 2019

Three papers with contributions from the NANOVIS team will be presented at IEEE VIS

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Testing the blind spots in artificial intelligence

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Proximal Splitting Methods for Convex Optimization: An Introduction

Latest News

CEMSE New Faculty: Mohamed Elhoseiny, Assistant Professor of Computer Science

Less chat leads to more work for machine learning

NRW’s EUR 1.25M Artificial Intelligence Grant awarded to Dominik L. Michels

The NANOVIS team wins the 1st Place in Graph Drawing Contest 2019

Three papers with contributions from the NANOVIS team will be presented at IEEE VIS

KAUST Professor Peter Richtárik wins Distinguished Speaker Award

Visual Computing Center

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