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KAUST Assistant Professor Raphaël Huser receives American Statistical Association award

KAUST ·

KAUST Assistant Professor Raphaël Huser received the American Statistical Association's 2019 Section on Statistics and the Environment Early Investigator Award for his contributions to environmental statistics. Huser's research focuses on developing models for extreme events observed in space and time. He leads the KAUST extSTAT research group, which develops statistical models to understand the stochastic behavior of rare events. Why it matters: Recognition of KAUST faculty highlights the university's growing prominence in statistical research and its application to environmental challenges in the region.

Deep Surface Meshes

MBZUAI ·

Pascal Fua from EPFL presented an approach to implementing convolutional neural nets that output complex 3D surface meshes. The method overcomes limitations in converting implicit representations to explicit surface representations. Applications include single view reconstruction, physically-driven shape optimization, and bio-medical image segmentation. Why it matters: This research advances geometric deep learning by enabling end-to-end trainable models for 3D surface mesh generation, with potential impact on various applications in computer vision and biomedical imaging in the region.

QRC Seminar Series: Dr. Matthias Troyer

TII ·

The Technology Innovation Institute (TII) is hosting a seminar by Dr. Matthias Troyer as part of its QRC Seminar Series. TII describes itself as a leading global research center focused on discovery science and transformative technologies. The institute's teams work in an open environment to deliver scientific breakthroughs. Why it matters: Such seminars contribute to the development of the AI ecosystem in the UAE by facilitating knowledge sharing and collaboration.

Working in the anti-matter factory

KAUST ·

KAUST alumnus Muhammed Sameed, who completed his master's degree in material science and engineering in 2012, works at CERN on the ALPHA experiment, which uses lasers to measure the properties of anti-hydrogen. Researchers at CERN are investigating the fundamental structure of the universe, including the absence of anti-matter. Current research indicates that every process that creates matter also creates anti-matter in the same amount, which does not align with the observable universe. Why it matters: This highlights KAUST's role in training scientists who contribute to cutting-edge research in fundamental physics, even at international facilities like CERN.

The role of applied mathematics in finance

KAUST ·

KAUST's Stochastic Numerics Research Group is developing methods for pricing European options. Their approach, detailed in an upcoming Journal of Computational Finance article, focuses on systematically tuning parameters to achieve accuracy while minimizing computational effort. The goal is to enable automated computation of fair prices for options contracts, similar to how insurance companies determine premiums. Why it matters: This research advances computational finance in the region, potentially improving risk management and investment strategies.

The role of data-driven models in quantifying uncertainty

KAUST ·

KAUST Professor Raul Tempone, an expert in Uncertainty Quantification (UQ), has been appointed as an Alexander von Humboldt Professor at RWTH Aachen University in Germany. This professorship will enable him to further his research on mathematics for uncertainty quantification with new collaborators. Tempone believes the KAUST Strategic Initiative for Uncertainty Quantification (SRI-UQ) contributed to this award. Why it matters: This appointment enhances KAUST's visibility and facilitates cross-fertilization between European and KAUST research groups, benefiting both institutions and attracting talent.

Spatial AI to help humans and enable robots

MBZUAI ·

Marc Pollefeys from ETH Zurich and Microsoft Spatial AI Lab will discuss building 3D environment representations for assisting humans and robots. The talk covers visual 3D mapping, localization, spatial data access, and navigation using geometry and learning-based methods. It also explores building rich 3D semantic representations for scene interaction via open vocabulary queries leveraging foundation models. Why it matters: Advancements in spatial AI and 3D scene understanding are critical for enabling more capable robots and AI assistants in various applications within the region.

Magistretti features at U.S.-K.S.A. Business Forum

KAUST ·

KAUST Professor Pierre Magistretti participated in the U.S.-Saudi Arabia Business Leaders Virtual Forum, organized by the U.S. Chamber of Commerce and the Saudi Ministry of Investment. Magistretti spoke on a panel about healthcare innovation alongside representatives from Pfizer, Abbott, and the Saudi Ministry of Investment. KAUST's Smart-Health Initiative (SHI) aims to translate scientific discoveries into clinical tools. Why it matters: This participation highlights KAUST's growing role in shaping healthcare innovation within the Kingdom and fostering international collaborations in the field.