KAUST Professor of Computer Science Peter Richtárik and his former student Nicolas Loizou, currently a postdoctoral researcher at Mila - Quebec Artificial Intelligence Institute and soon to take up an assistant professorship position at Johns Hopkins University, recently received the 2020 Computational Optimization and Applications (COAP) Best Paper Award.
Mohammed Khalid Aljahdali obtained his B.Sc. from King Abdulaziz University, Faculty of Computing and Information Technology, Rabigh, Saudi Arabia.
Marc Dacier, professor of computer science, joins KAUST as a member of the Resilience Computing and Cybersecurity Research Center (RC3) from his most recent position as full professor and department head of the digital security department at EURECOM.
Xiuying Chen is a computer science graduate who joined KAUST from Wuhan University, China. Chen believes that KAUST provides an excellent research environment to carry out scientific research.
KAUST recently announced that Professor Jürgen Schmidhuber will join KAUST as director of the University's Artificial Intelligence Initiative. Schmidhuber is a renowned computer scientist who is most noted for his pioneering work in the field of artificial intelligence, deep learning, and artificial neural networks.
Alyah Alfageh is an electrical and computer engineering graduate who joined KAUST this fall from Effat University, Saudi Arabia. Alyah joined KAUST as a M.S. student and member of the Secure Next Generation Resilient Systems (SENTRY) Lab under the supervision of Professor Charalambos Konstantinou.
CEMSE Division is pleased to announce the appointment of Professor Jürgen Schmidhuber as the Director of the KAUST Artificial Intelligence Initiative, who will join KAUST on October 1, 2021.
A simple camera system paired with a sophisticated image-processing algorithm can achieve faster and more accurate reconstructions of particle flow.
An eight-fold speed up of deep machine learning can be achieved by skipping the transmission of zero values.
KAUST Alumnus Michal Mankowski's first encounter with KAUST was in 2015 when he joined the university as a VSRP student. Then, in 2016, he started his Ph.D.
Machine learning accelerates the search for promising Moon sites for energy and mineral resources.
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.