David Keyes's and Matteo Ravasi's cross-disciplinary project results in improved efficiency for seismic processing, with promising applications for the energy industry.

Prof. David Bolin has been selected for the American Statistical Association Section on Statistics and the Environment Early Investigator (ENVR) Award for his outstanding contributions to environmental statistics.

A new study addresses the difficulty in modeling atmospheric turbulence at sub-kilometer resolution, which is challenging due to atmospheric variability, meteorology and changeable terrain such as mountains and cities.

Machine learning techniques can provide accurate forecasting of the spread of viruses during pandemics. Under the supervision of Ying Sun and Fouzi Harrou, Yasminah Alali developed an approach that removes human bias and assumptions, predicting pandemic evolution more accurately.

KAUST’s Extreme Statistics Group has developed an improved statistical model for analyzing environmental data of extreme events, such as heavy rainfall or strong wind data.

Prof. Peter Markowich has been named a Fellow of the Institute of Mathematics and its Applications (IMA). IMA Fellowships are awarded to individuals who have shown demonstrable achievement and competence in the development or application of mathematics.

Faisal Fadi Hasan Almulla, who worked last year under the mentorship of Dr. Fouzi Harrou and Professor Ying Sun as part of the annual KAUST Saudi Research Science Institute (SRSI) summer program, won two awards at the National Olympiad for Scientific Creativity — Ibdaa 2022.

KAUST M.S. Graduate Rudi Coppola, KAUST Research Scientist Dr. Sajid Ahmed, and KAUST Distinguished Professor Dr. Mohamed-Slim Alouini won first prize at the Institute of Electrical and Electronics Engineers (IEEE) Radar Challenge 2021. Their work titled "Road Users Classification Based on Bi-Frame Micro-Doppler with 24-GHz FMCW Radar," presents a case study for a 24 Gigahertz (GHz) frequency modulated continuous wave radar module.

A team of KAUST statisticians has analyzed the price movements of the top five cryptocurrencies to further understand their market behavior. Their model will help investors assess the risks of investing in cryptocurrencies.

KAUST faculty member Dominik L. Michels has recently been promoted to associate professor of computer science and applied mathematics.

Marc Genton, Huang Huang and colleagues from KAUST organized a global competition with 21 competing teams to compare different approximation methods for analyzing large spatial datasets.

The KAUST Saudi National Kidney Paired Donation Workshop, organized by Professor Michał Mańkowski with support from the KAUST CEMSE Division, brought together 12 of the Kingdom's top experts in kidney transplantation to discuss the future of this complex and highly important surgical procedure.

Novel statistical methods help tell the difference between "false positives" and true detections of protein domain hotspots that could be linked to cancer.

To address the growing threat of cyberattacks on industrial control systems, a KAUST team including Fouzi Harrou, Wu Wang and led by Ying Sun has developed an improved method for detecting malicious intrusions.