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.
PhD student Sabrina Vettori has been selected to receive a Best Student Paper Award from the Section on Statistics and the Environment (ENVR) of the American Statistical Association (ASA) for her manuscript entitled "Bayesian clustering and dimension reduction in air pollutant multivariate extremes".
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.
Prof. Ben Shaby is an Assistant Professor in the Statistics Department and the Institute for CyberScience at Penn State, where he started in 2013.
Workshop on Statistics for High-Dimensional and Complex Data, Nov. 6-9, 2016
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.
A statistics-based data compression scheme cuts data storage requirements for large-scale climate simulations by as much as 98 percent.
KAUST Assistant Professor of Statistics Ying Sun won the 2016 Abdel El-Shaarawi Young Researcher (AEYR) Award from the International Environmetrics Society (TIES) in June.
Metabolic route explorer helps to optimize the pathways for artificial biosynthesis of valuable products.