Skip to content
GCC AI Research

Search

Results for "Raphaël Huser"

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.

Physics-Based Deep Learning for Medical Imaging

MBZUAI ·

Pascal Fua from EPFL gave a talk at MBZUAI on physics-based deep learning for medical imaging. The talk covered how self-supervision and knowledge of human anatomy and physics can improve deep learning algorithms when training data is limited. Applications discussed included endoscopic heart surgery, colonoscopy, and intubation. Why it matters: This highlights the growing importance of domain knowledge and self-supervision in overcoming data scarcity challenges for AI in healthcare applications within the region.

Hussain elected APS Fellow

KAUST ·

KAUST Associate Professor Muhammad Mustafa Hussain has been elected as a fellow of the American Physical Society (APS). Hussain's research focuses on creating paper-based sensors using low-cost materials to mimic human skin sensory functions. He was selected in recognition of his work at KAUST. Why it matters: Recognition of researchers at GCC universities by international professional societies helps to raise the profile of regional research efforts.

AI Seminar Series: Kajetan Schweighofer

TII ·

The Technology Innovation Institute (TII) is hosting an AI seminar by Kajetan Schweighofer on October 28, 2025, from 11:00 AM to 12:00 PM GST. TII describes itself as a global research center focused on discovery science and transformative technologies. The seminar series is part of TII's efforts to share its developments and research. Why it matters: Such seminars contribute to the growth of the AI ecosystem in the UAE by facilitating knowledge sharing and collaboration.

Extended Reality on-the-move

MBZUAI ·

This article discusses the evolution of mobile extended reality (MEX) and its potential to revolutionize urban interaction. It highlights the convergence of augmented and virtual reality technologies for mobile usage. A novel approach to 3D models, characterized as urban situated models or “3D-plus-time” (4D.City), is introduced. Why it matters: The development of MEX and 4D.City could significantly enhance user experience and analog-digital convergence in urban environments, offering new possibilities for human-computer interaction.

CRC Seminar Series - Conor McMenamin

TII ·

Conor McMenamin from Universitat Pompeu Fabra presented a seminar on State Machine Replication (SMR) without honest participants. The talk covered the limitations of current SMR protocols and introduced the ByRa model, a framework for player characterization free of honest participants. He then described FAIRSICAL, a sandbox SMR protocol, and discussed how the ideas could be extended to real-world protocols, with a focus on blockchains and cryptocurrencies. Why it matters: This research on SMR protocols and their incentive compatibility could lead to more robust and secure blockchain technologies in the region.