Computer model learns to identify Twitter users’ evolving interests by analyzing their Tweets.
Carolina Euán, a postdoctoral fellow in KAUST Associate Professor Ying Sun's Environmental Statistics research group, recently received the Sylvia Esterby Presentation Award from the International Environmentrics Society (TIES) at the 28th Annual TIES Conference 2018 held from July 16 to 21, 2018, in Guanajuato, Mexico. Euán won the award for her talk entitled "Bernoulli Vector Autoregressive Model with Applications to Spatio-temporal Drought Events in Mexico."
An optical system for monitoring underwater sensor positions could enable large networks of devices to be deployed for ocean measurements.
On December 14, 2018, KAUST welcomed 243 graduates at the University’s ninth Commencement ceremony. Among them, students Rustam Bekishev and Peng Zhong, who is now a Ph.D. student In Statistics in our group, got their MS degree. Congratulations!
A more accurate way of resolving spatial patterns in weather could lead to better predictions of climate change.
Xiangliang Zhang, associate professor of computer science in the University's Computer, Electrical and Mathematical Science and Engineering division, recently gave an invited Early Career Spotlight Talk at the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI-18) 2018. During the event—which was held in Stockholm, Sweden, from July 13 to 19—Zhang and 21 international peers presented on all areas of artificial intelligence (AI).
The Statistics Program at KAUST is proud to host the 2018 Workshop on Statistics and Data Science. This workshop gathers the leading experts on statistical data science to discuss the current needs, challenges and opportunities of modeling massive and high dimensional data, predicting complex biological and physical processes.
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.
Modeling changes in brain activity over time provides deeper insights into learning and behavioral responses.
Xin Gao’s research is building bridges between computer science and biology.
A more efficient approach to modeling spatial data involving thousands of variables keeps computation time in check.
A tool developed by Håvard Rue has transformed data analysis, interpretation and communication. It has been applied broadly: from modeling the spread of infectious diseases to mapping fish stocks.
Volcanic eruptions in Mexico and the Philippines can lead to atmospheric changes that favor the ventilation of deep water in the Red Sea.