The future has already arrived when it comes to the most exciting and promising field of modern medicine—precision medicine.
KAUST, like many other international research institutions, is no different in its approach to addressing our current need for continuous and uninterrupted distance learning. E-learning has proved effective in theoretical and mathematically-oriented disciplines, where access to a computer locally or over the cloud is all that is required.
Light can simultaneously transfer energy and data to underwater devices, but there’s a long way to go before these systems can be deployed.
Winning a group-wide award such as the recent CES Innovation Award 2020 is becoming a regular occurrence for one of KAUST’s most innovative laboratories. Since its inception, the KAUST MMH Labs has acted as a space where some of the leading minds at KAUST come together to create the future of technology today.
Nazek El-Atab, a postdoctoral research fellow, based in the KAUST MMH Labs has been chosen to attend the 70th Lindau Nobel Laureate Meeting. After completing a thorough multi-stage application and selection process, El-Atab was selected to participate in the event scheduled to take place from June 28 to July 3, in Lindau, Germany.
Mikhail begun to write this book more than 30 years ago in Lobachevsky State University of Nizhni Novgorod, continued in University of Warsaw, University of Silesia in Katowice, and Stanford University, and finished last year in King Abdullah University of Science and Technology.
KAUST alumna Joanna Nassar recently won the Best Innovation Award in the Tech for a Better World category at the 2020 Consumer Electronics Show (CES) held in Las Vegas, U.S., from January 7-10. Nassar, a postdoctoral fellow at Stanford University, received the award for her research as part of the KAUST MMH Labs research group’s development of a wearable technology tagging prototype called Bluefin.
The International Society for Optics and Photonics (SPIE) recently awarded KAUST Ph.D. student Jorge Holguín-Lerma with the SPIE Photonics West 2020 Optical Communications Best Student Paper Award.
KAUST Professor of Electrical Engineering Jeff Shamma has been awarded The International Federation of Automatic Control Council’s (IFAC) High Impact Paper Award 2020.
Machine learning tasks using very large data sets can be sped up significantly by estimating the kernel function that best describes the data.
Anna Fruehstueck, a Ph.D. student in the KAUST Visual Computing Center (VCC) under the supervision of Professor Peter Wonka, recently won a 2020 Facebook Fellowship award and a two-year fellowship from Facebook Research.
A self-powered water quality sensor could help fish farmers to monitor pollution in their ponds remotely.
The recent KAUST-Prince Mohammed Bin Salman College (MBSC) Invitational Healthcare Analytics and Data Science Workshop brought together top-level clinicians, healthcare executives, representatives to discuss digitization and advancement of healthcare analytics in Saudi Arabia.
A universal high-performance computing interface allows popular statistical tools to run efficiently on large geospatial datasets.