Weather variability and extreme events affect the optimal design and operation of renewable energy systems, particularly for striking a trade off between life cycle cost and carbon dioxide emissions.
KAUST graduates are characterized by the rigor of their Ph.D. programs, the long hours spent in the lab and classroom, juggling professional and personal commitments, achieving a work-life balance and, more recently, the ability to adapt to a global pandemic.
KAUST Distinguished Professor of Statistics Marc Genton has received the Royal Statistical Society’s (RSS) 2023 Barnett Award.
CEMSE statisticians developed a framework which enables modeling of a range of meteorological and environmental datasets from up to 2 million locations globally.
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.
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.
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 progressive telecommunications research of KAUST Ph.D. candidate Maurilio Matracia, supervised by postdoctoral fellow Mustafa Kishk and Distinguished Professor of Electrical and Computer Engineering Mohamed-Slim Alouini, has been recently awarded the second-place prize at the IEEE SusTech 2021 student poster contest.
This coming decade promises to be yet another revolutionary one in how we communicate. In a world that is only beginning to embrace 5G technology, several scientific institutions, governments, telecom companies, and phone manufacturers worldwide are beginning to research the development possibilities of its successor—6G technology.
Predicting wireless traffic using artificial intelligence could improve the reliability of future wireless communications.
Electrical and computer engineers take on complex modeling questions that can further our understanding of virus spread in small spaces.
The annual IEEE Computer Society Global Student Challenge provides an avenue for students worldwide to create innovative solutions to big data problems. This year’s competition, IEEE CS GSC 2021, encourages each individual or team (max three students) to present solutions to pre-determined problem/issue statement of relevance in CS today.
Dr Hoteit is recognized for his pioneering research in ocean modelling, remote sensing, Red Sea eddy dynamics, and the development of new techniques in data assimilation and modelling that have environmental applications of global significance. In the Field of Applied Sciences (area of Engineering Sciences), the Prize is awarded to Dr. Mohamed-Slim Alouini, Distinguished Professor of Electrical and Computer Engineering at King Abdulla University of Science and Technology (KAUST) in Saudi Arabia, for his groundbreaking research in the area of wireless , optical and vehicular communications, including low-power communications for the internet of things, as well as his valuable contribution to the development of the 3G, 4G and satellite systems.
The evolving periodicity of the brightness of certain types of stars can now be described mathematically.
Introducing KAUST’s very own "THE FANTASTATISTICS 4." Gaurav Agarwal, Jian Cao, Wanfang Chen, and Yuxiao Li are four Ph.D. alumni from the Statistics program at KAUST. The four students obtained their Ph.D.s last year under the supervision of Professor Ying Sun, Agarwal and Li, and Distinguished Professor Marc Genton, Cao and Chen, respectively.