Linking disease pathogens to clinical signs and symptoms through a database could support research into the molecular mechanisms of infectious diseases.
A deep learning model improves the ability to identify genes potentially involved in disease.
A communications concept could pinpoint a person infected with a deadly, contagious virus in the middle of a crowded airport.
Computer simulation accurately captures the beguiling motion of a liquid magnetic material.
KAUST researchers Anna Fruehstueck, Dr. Ibraheem Alhashim, and Prof. Peter Wonka have developed a novel technique to generate images of realistic and highly detailed texture maps using deep neural networks. The texture images synthesized by their system TileGAN can be of gigapixel size and are created by seamlessly merging smaller texture blocks into a single large image. The underlying neural networks are trained using high-resolution images such as detailed satellite imagery, maps and famous paintings.
As the volume and complexity of data captured around the world continues to grow exponentially, new ways of exploring and visualizing this data are required. Today, society has moved beyond the traditional desktop computer with tools such as augmented and virtual reality (AR/VR) at the forefront of immersive data visualization and analysis.
KAUST alumnus Faisal Nawab received his master's degree in computer science from the University in 2011. His M.S. thesis work, which focused on how to build wireless network infrastructure, was supervised by KAUST Associate Professor Basem Shihada.
David Keyes, KAUST professor of applied mathematics and computational science; director of the University's Extreme Computing Research Center; and senior associate to the President of KAUST, will chair the International Supercomputing Conference (ISC) 2020. He will be the first program chair from a Middle Eastern institution, as announced by ISC 2020.
Manal Kalkatawi graduated from KAUST in 2017 with a Ph.D. in computer science with a focus on bioinformatics. She is currently an assistant professor at the Faculty of Computing and Information Technology at King Abdulaziz University (KAU) in Jeddah. Kalkatawi also pursues research in her field of specialization through cooperation with different research organizations, and she supervises master's degree theses of KAU students.
A powerful statistical tool could significantly reduce the burden of analyzing very large datasets.
KAUST alumna Suzan Katamoura graduated from the University in 2013 with a master's degree in computer networks. She currently works at King Abdullah City for Atomic and Renewable Energy as a researcher and a director of the Nuclear Fuel Cycle Unit in the Atomic Energy Sector.
KAUST alumnus Albara Bin Mousaed Alauhali is currently the executive advisor and director of strategic projects at the National Identity Enhancement Program, a program aimed at achieving Saudi Vision 2030.
Computer model learns to identify Twitter users’ evolving interests by analyzing their Tweets.
We are proudly announcing that Professor Ivan Viola has joined VCC as an Associate Professor of Computer Science in November, 2018. He is establishing the Nano-visualization Research Group as a part of the Visual Computing Center.
Adel is invited to give a talk in EECVC on "Optimization meets Deep Learning". It is a 45 minutes talk scheduled on the 6th of July 2019.