KAUST alumna Yuan Yan recently received an honorable mention from the American Statistical Association (ASA) for her paper entitled "Vector Autoregressive Models with Spatially Structured Coefficients for Time Series on a Spatial Grid." Yan, who participated in the ASA student paper competition last year, will be officially recognized for her contribution later this year at the association's 2019 Joint Statistical Meetings in Denver, Colorado, U.S., from July 27 to August 1.
KAUST Ph.D. statistics student Jian Cao was recently selected as a best paper award winner by the American Statistical Association (ASA) for his paper entitled "Computing High-Dimensional Normal and Student-t Probabilities with Tile-Low-Rank Quasi-Monte Carlo and Block Reordering." Cao's paper was chosen in an ASA student paper competition under the section on Statistical Computing.
A tiny, portable radar device could allow visually impaired people, or unmanned moving devices, to detect objects in real time.
The latest statistical methods from research on complex high-dimensional environmental data also yield powerful tools for interpreting brain activity.
The theme of the University's 2019 Winter Enrichment Program (WEP) was "time." It represented an opportune moment for KAUST to welcome members of the McLaren Group to campus to discuss the recently signed extreme performance research partnership between KAUST and McLaren.
The Visual Computing Center would like to welcome back Professor Helmut Pottmann who recently rejoined the center in October 2018.
Taous-Meriem Laleg-Kirati, KAUST associate professor of electrical engineering in the University's Computer, Electrical and Mathematical Science and Engineering Division, was selected as one of three finalists in the academic of distinction category at the recent Leadership Excellence for Women Awards & Symposium (LEWAS) in Bahrain.
An optical system for monitoring underwater sensor positions could enable large networks of devices to be deployed for ocean measurements.
A more accurate way of resolving spatial patterns in weather could lead to better predictions of climate change.
A multi-disciplinary team of international researchers from KAUST and Japan's National Institute of Informatics (NII) in collaboration with U.S.
Modeling shows that the Indian summer monsoon can trigger heatwaves and sandstorms on the Arabian Peninsula.
Harnessing the power of virtual reality will help to visualize data and improve statistical models.
A new statistical tool for collectively analyzing large sets of brainwaves promises to accelerate neurofunctional research.
Around the world, scientists, researchers and engineers seek to develop sustainable alternatives to the burning of fossil fuels. Some explore the kinetic energy of wind, gravity or water. Others capture excited electrons using photosensitive materials. William Tang, a principal research physicist at the Princeton Plasma Physics Laboratory at Princeton University, wants to power the world using the chemical reaction that stars run on—nuclear fusion—and he believes deep learning is a key.
A team of KAUST scientists from the University's Computer, Electrical and Mathematical Science and Engineering (CEMSE) division worked to design an enhanced transfer system for the Saudi Ministry of Health (MOH) to help find solutions for employee localization.