Gaurav Agarwal, a Ph.D. candidate in statistics and member of KAUST Associate Professor Ying Sun's Environmental Statistics (ES) research group, recently won an American Statistical Association (ASA) Student Paper Award sponsored by the Sections on Computing and Graphics (SCSG). In addition to his ASA SCSG award, Agarwal has also been selected a Distinguished Student Paper Award winner by the Eastern North American Region (ENAR) of the International Biometric Society for his paper titled "Flexible Quantile Contour Estimation for Multivariate Functional Data: Beyond Convexity."
Computer models efficiently and accurately simulate the magnetic responses of ferrofluids by considering only the fluid’s surface.
The annual CEMSE Student Research Excellence Awards and Student Academic Accomplishment Awards celebrate the talent and achievements of the Division's students. Awarded around the KAUST Commencement ceremony, the awards are presented in recognition of the academic accomplishments and research impact created by our leading students in the fields of Applied Mathematics and Computer Science (AMCS), Computer Science (CS), Electrical and Computer Engineering (ECE), and Statistics (STAT).
Fifteen KAUST faculty members and one postdoctoral researcher rank among the 2020 Highly Cited Researchers from around the world, according to Clarivate Web of Science Group, a global leader of academic research analytics. The list names individuals whose work accounts for the top 1% of research cited worldwide.
A high-frequency model developed using data from new high-precision rain gauges gives fresh insight into the dynamics of rain and runoff events.
A prediction model that considers multiple landslides over time in a given region may improve the accuracy of early warning systems.
Members of the KAUST American Statistical Association (ASA) student chapter recently came together for the group’s second online meeting held on Tuesday, November 10, 2020. The meeting served as an orientation exercise for new KAUST Statistics (STAT) Program students while also highlighting the shared experience of STAT Ph.D. candidates: Jian Cao, Wanfang Chen, Yuxiao Li, and Gaurav Agarwal.
Professor Mohamed-Slim Alouini has been awarded both the 2019 Institute of Electrical and Electronics Engineers (IEEE) Communication Society Communication Theory Technical Committee (CCTC) Technical Achievement Award, and the 2020 IEEE Vehicular Technology Society James Evans Avant Garde Award. The CEMSE Division founding faculty member received the awards for his contributions in the modeling, design, performance evaluation, and optimization of wireless communication systems and networks.
KAUST Distinguished Professor Mohamed-Slim Alouini was recently elected as a 2021 Fellow of the Optical Society (OSA). The prestigious recognition highlights members who have served with distinction in the advancement of optics and photonics. This year's cohort comprises 118 newly elected members from 24 countries. The new Fellows will be honored at OSA conferences and meetings throughout 2021.
Harnessing the power of deep learning leads to better predictions of patient admissions and flow in emergency departments.
A KAUST-designed symbolic algorithm to solve nonlinear ordinary differential equations (ODEs) has been selected for inclusion in the current version of the computer algebra system (CAS) Maple 2020. The global symbolic and numeric computing software system—developed by the Canadian company Waterloo Maple (Maplesoft)—is widely used by scientists, engineers, and researchers to analyze, visualize, and solve mathematical problems.
The inaugural 6G Summit on "Connecting the Unconnected" took place on Tuesday, October 27, and featured a host of international researchers and experts in the areas of Internet and Communication Technology (ICT) and Wireless Communications System (WCS).
Let’s discover the world of the statisticians at KAUST and be ready to be amazed by their cutting-edge research!
Prediction of wind speed and direction for up to several hours in advance improves Saudi Arabia’s wind energy potential.
The ability to efficiently simulate the noise generated by wings and propellers promises to accelerate the development of quieter aircraft and turbines.