A population study of whale sharks in the Red Sea reveals unique group dynamics.
Prof. Miguel Carvalho holds a research and teaching positions at PUC Chile, EPFL, Banco de Portugal, and UNL.
An efficient simulation scheme that hones in on the rarest elements in a dataset can help predict capacity exceedances in wireless networks.
Existing systems for predicting protein structure are outperformed by a newly developed method.
By tapping into the power of extreme value theory, an international team of researchers including Raphaël Huser from the University's Computer, Electrical and Mathematical Science and Engineering Division has developed a statistical model that overcomes the shortcomings of previous schemes to provide a reliable basis for climate research and the prediction of
Automated learning of an individual’s movement patterns shared over mobile and social networks could help us to connect better.
Postdoc Luigi Lombardo gets an Outstanding Student Poster and PICO EGU Award. Congratulations Luigi!
The 2016 Outstanding Student Poster and PICO (OSPP) Award is awarded to Luigi Lombardo for the poster/PICO entitled Landslide triggering-thickness susceptibility, a simple proxy for landslide hazard? A test in the Mili catchment (North-Eastern Sicily, Italy).
Improved random modeling allows scientists to generate realistic patterns of high-frequency rainfall.
Consistent around the world's ocean, the phases of the moon affect the upward migration of the world’s most abundant type of fish for feeding.
A graphics technique is the first to identify people based on their sketching style.
Studies conducted at the Saudi Aramco-KAUST Marine Environmental Research Center provide new insights into the physical and biological aspects of the Red Sea.
A new mathematical model explains how random factors affect the production of proteins within the cells.
Next-generation mobile networks can use cloud computing algorithms to manage the increasingly high data demands of users.
Conference on Advances in Uncertainty Quantification Methods, Algorithm and Applications (#UQAW2016)
The 4th consecutive year that KAUST is holding the UQAW annual event dedicated to reporting on the state-of-the-art and latest advances in the methods used to quantify the calculation uncertainties. The aim of the discussion forum in exchanging information on innovative algorithm design as well as their practical applications and performances in experimental settings.
Sebastian is an Ambizione fellow at EPF Lausanne with Anthony Davison.