Prof. Simon Gröblacher from Delft University of Technology presented a seminar on using mechanical systems in quantum information processing, focusing on their potential as quantum memories and transducers. The seminar highlighted experiments demonstrating non-classical behavior of mechanical motion by coupling a micro-fabricated acoustic resonator to single optical photons. Quantum control over acoustic motion was established, including the generation and readout of single phononic excitations, along with light-matter entanglement. Why it matters: This research advances the use of micro-fabricated acoustic resonators for quantum information processing and fundamental tests of quantum physics.
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.
A KAUST-led meta-study published in Science examines the increasing ocean noise pollution from human activities like shipping and seismic blasting. The study synthesizes findings from 10,000 papers, revealing that anthropogenic noise interferes with marine animals' communication and ecological processes. The research highlights the need for policymakers to address this issue for ocean health and sustainable economies. Why it matters: Understanding and mitigating ocean noise pollution is crucial for preserving marine ecosystems and the biodiversity of the Red Sea.
A KAUST-led study published in Science found overwhelming evidence that man-made noise negatively impacts marine fauna and their ecosystems, disrupting behavior, physiology, and reproduction. The researchers assessed over 10,000 papers to demonstrate that noise pollution from shipping, fishing, and infrastructure development harms marine life from invertebrates to whales. They call for human-induced noise to be considered a prevalent stressor at the global scale and for policy to be developed to mitigate its effects. Why it matters: This research highlights the need to consider acoustic dimensions in ocean health restoration efforts, promoting management actions to reduce noise levels and allow marine animals to re-establish their use of ocean sound.
Marcus Engsig from DERC will present a paper at the MATLAB User Group Meeting in Abu Dhabi on October 6. The paper, titled ‘Generalization of Higher Order Methods For Fast Iterative Matrix Inversion Compatible With GPU Acceleration’, discusses a novel approach to matrix inversion using GPUs. The method, named Nested Neumann, achieves 4-100x acceleration compared to standard MATLAB methods for large matrices. Why it matters: This research contributes to faster computation in numerical and physical modeling, crucial for processing large datasets in various scientific and engineering applications in the region.
KAUST Ph.D. students David Evangelista and Xianjin Yang won best paper awards at international conferences this summer for their work in mean-field game theory. Evangelista's paper focused on solutions for stationary mean-field games with congestion, while Yang's paper developed numerical methods for homogenization problems. The awards were presented at the 18th International Symposium on Dynamic Games and Applications in France and the 12th American Institute of Mathematical Sciences (AIMS) Conference in Taiwan. Why it matters: The recognition highlights KAUST's strength in applied mathematics and computational science, specifically in the emerging field of mean-field games with applications across various domains.
Researchers from the Directed Energy Research Center (DERC) will present research papers at the 17th Workshop of the International Lithosphere Program Task Force on Sedimentary Basins in Abu Dhabi. Dr. Meixia Geng's study identifies potential geothermal exploration sites in the UAE based on Curie isotherm depths. Dr. Felix Vega's research demonstrates drone-borne synthetic aperture radar (SAR) for subsurface mapping of underground cavities. Why it matters: These studies showcase the UAE's commitment to sustainable development through geothermal energy exploration and advanced subsurface imaging techniques.
KAUST Ph.D. student Zhaolun Liu won the best student presentation at the 2017 Society of Exploration Geophysicists (SEG) Full-Waveform Inversion (FWI) and Beyond Workshop in Beijing. Liu's presentation was on "3D Wave-Equation Dispersion Inversion of Surface Waves," based on a paper co-authored with Jing Li and Professor Gerard Schuster. The paper describes a new method called wave equation dispersion inversion (WD) for inverting surface waves. Why it matters: This award recognizes KAUST's contributions to geophysics and seismic imaging, highlighting the university's research capabilities and access to high-performance computing.