KAUST ·
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MBZUAI ·
MBZUAI graduate Ahmed Sharshar developed a computer vision application that assesses lung health from a video of a person breathing, estimating Forced Vital Capacity (FVC), Forced Expiratory Volume in 1 second (FEV1), and Peak Expiratory Flow (PEF). The model achieved up to 100% accuracy using thermal video data from 60 participants. Sharshar aims to create lightweight models applicable in developing countries without high-end GPUs. Why it matters: This research showcases the potential of AI to democratize healthcare access through non-invasive, accessible diagnostic tools.
KAUST ·
KAUST hosted the Advances in Uncertainty Quantification Methods, Algorithms and Applications conference (UQAW2016) in January 2016. The event featured 75 presentations and 20 invited speakers from various countries. Professor Raul Tempone presented research on computational approaches to fouling accumulation and wear degradation using stochastic differential equations. Why it matters: This work provides a new computational approach based on stochastic differential equations to predict fouling patterns of heat exchangers which can optimize maintenance operations and reduce engine shut-down periods.
KAUST ·
This is an advertisement for KAUST (King Abdullah University of Science and Technology). It mentions King Abdullah bin Abdulaziz Al Saud. The advertisement promotes KAUST to prospective applicants. Why it matters: As a leading STEM university in the region, KAUST is vital for AI development and education, and may be related to future AI research or policy.
MBZUAI ·
Video motion magnification amplifies subtle movements in video footage, making the imperceptible visible across various fields. In healthcare, it allows non-invasive monitoring of vital signs and micro-expressions. In engineering, it helps detect structural vibrations in infrastructure, while also being used in sports science, security, and robotics. Why it matters: The technology's ability to reveal hidden details has the potential to revolutionize diagnostics, monitoring, and decision-making in diverse sectors across the Middle East.
KAUST ·
KAUST Associate Professor Jürgen Kosel has been named a distinguished lecturer of the Institute of Electrical and Electronics Engineers (IEEE) Sensors Council for 2020-2022. Kosel's research focuses on sensors and transducers with applications in animal monitoring, precision farming, Formula One racing, and biomedical instruments. His group is also developing magnetic devices for high-density data storage and cancer treatment. Why it matters: This recognition highlights KAUST's contributions to sensor technology and its potential impact on diverse fields, including healthcare in developing regions.
KAUST ·
KAUST, in partnership with SABB, has opened applications for the 2021 TAQADAM Startup Accelerator, welcoming up to 60 startups. Each startup will receive 150,000 SAR in zero-equity grant funding, access to co-working spaces, training, and expert mentors during the six-month program. Saudi Arabian-based startups at all stages and international startups planning to expand into Saudi Arabia are encouraged to apply by April 10, 2021. Why it matters: This accelerator program provides crucial resources and funding for early-stage entrepreneurs in Saudi Arabia, fostering innovation and contributing to the growth of the Kingdom's startup ecosystem.
KAUST ·
KAUST researchers are exploring novel chemical reactors and separation processes using mathematical design, with a focus on time and shape variables to enhance transport, heat transfer, and mass transfer. By aligning design, modeling, and 3D printing, they create customized shapes with great complexity and less material. This approach allows for the creation of bespoke reactors and separation processes tailored to specific applications, improving efficiency and reducing energy consumption. Why it matters: This research demonstrates the potential of advanced manufacturing techniques to revolutionize industrial design in the Middle East's chemical and pharmaceutical sectors.