Statistical monitoring technology can detect serious falls and immediately warn healthcare providers.
An efficient wireless signal optimization scheme achieves peak performance for next-generation mobile communications.
A statistical model that accounts for common dependencies in spatial data yields more realistic results for studies of temperature, wind and pollution levels.
A statistical technique for automatically cleaning erroneous data from weather-balloon observations will improve the accuracy of weather forecasting.
A new approach to analyzing household electricity: smart-meter data could improve the performance and efficiency of national power grids.
Sensitive detection of partial faults in antenna systems could prevent performance degradation in wireless networks.
Prof. David Keyes and his team proposed a GPUs light architecture to solve systems of multiple equations involving a large amount of data. Broadly used in computer gaming, mobile, and PC graphics - GPUs allow customizing an effective result-driven support to create a computational framework for increasing the number of processors while reducing the memory required to temporarily store the data.
A highly efficient mathematical solver designed to run on graphics processors gives scientists and engineers a powerful new tool for a common computational problem.
Advanced numerical models are helping researchers identify potential sites to exploit offshore wind and wave energy in the Red Sea region.
The fifth-anniversary event marked CEMSE's biggest successes and featured 20 KAUST discoveries, with more than 1,000 visitors from the community attending the event."Big data has many applications: to understand medicine better; to manage food supplies, and to connect objects. Data is at the center of everything," said Dean Mootaz Elnozahy of the University's Computer, Electrical, Mathematical Science and Engineering (CEMSE) Division at the CEMSE Big Data Open Day held on December 4, 2016.
An advanced numerical model is helping researchers better understand the variability of the Red Sea’s climate patterns.
Marc G.Genton, Professor of Statistics in the Division of Computer, Electrical and Mathematical Sciences and Engineering (CEMSE), has been appointed by KAUST President Jean-Lou Chameau to Distinguished Professor of Statistics.
Carefully designed crystal structures can now be tuned to control how they transmit acoustic waves.
A sketch-based query for searching for relationships among objects in images could enhance the power and utility of image search tools.