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VCC

Visual Computing Center

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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 Faculty
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News
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KAUST CEMSE VCC FALCONVIZ KAUST Alumnus Luca Passone

Scanning the horizon with FalconViz

KAUST alumnus Luca Passone (Ph.D. '18, M.S. '11) is part traditional researcher and part horizon-scanning entrepreneur.
2019.12.05geometric modeling
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Jinhui Xiong

Jinhui Xiong wins Best Paper Award at VMV 2019

Fourth-year computer science Ph.D. student Jinhui Xiong won the best paper award at this year’s 24th International Symposium on Vision,…
2019.12.02computational imaging
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KAUST CEMSE CS AMCS STAT VCC ECRC P RICHTARIK Machine Learning Models Gather Momentum

Machine learning models gather momentum

New methods for training machine learning models are quicker and more accurate than current approaches, previously considered state-of-the-…
2019.11.24algorithms
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KAUST CEMSE CS Mohamed H. Elhoseiny

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
Research

Testing the blind spots in artificial intelligence

Understanding the situations when artificial intelligence can fail is critical for application of future autonomous vehicles and medical…
2019.08.29machine learning
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Latest News
2019.12.05geometric modeling

Scanning the horizon with FalconViz

2019.12.02computational imaging

Jinhui Xiong wins Best Paper Award at VMV 2019

2019.11.24algorithms

Machine learning models gather momentum

2019.11.21student focus

Student Focus: Abdullah Hamdi

2019.11.07artificial intelligence

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

2019.10.16machine learning

Less chat leads to more work for machine learning

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Meet Our People
KAUST-CEMSE-Modar-Alfadly
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
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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
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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
AdelBIbi4
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
KAUST CEMSE EE VCC IVUL Bernard Ghanem
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
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