KAUST ·
KAUST Discovery Ph.D. student Chun-Ho Lin received the best paper award at the 2nd International Symposium on Devices and Application of Two-dimensional Materials in June 2016. The award recognizes Lin's contributions to the field of two-dimensional materials. Why it matters: Recognition of KAUST student research highlights the university's contributions to advanced materials science.
KAUST ·
KAUST alumnus Jagdish Chandra Vyas (Ph.D. '17) received a Student Presentation Award at the Seismological Society of America (SSA) Annual Meeting for his poster "Mach Wave Coherence in the Presence of Source and Medium Heterogeneity." Vyas's Ph.D. research at KAUST, under the direction of Professor Martin Mai, focused on analyzing the effects of rupture complexity and heterogeneities in Earth structure on near-source ground motions. He is currently a postdoctoral scholar at the University of Canterbury, New Zealand. Why it matters: This award recognizes the high-caliber research being conducted at KAUST and its impact on the field of seismology.
KAUST ·
Yuan-Kai Liu, a master’s student from KAUST, received the Outstanding Student Poster and PICO Award at the European Geosciences Union General Assembly 2017 for his poster on caldera ring-fault development. Liu's poster presented results from analogue experiments, including deformation characteristics from time-resolved digital image correlation and 3-D spatial photogrammetry data. His research focuses on ground deformation analyses of subsiding calderas, combining analogue experiments with numerical modeling. Why it matters: This award recognizes KAUST's contribution to earth science and engineering and highlights the university's focus on innovative research in geophysics.
KAUST ·
KAUST alumnus Jagdish Chandra Vyas (Ph.D. '17) received a Student Presentation Award at the 2017 Seismological Society of America Annual Meeting for his poster "Mach Wave Coherence in the Presence of Source and Medium Heterogeneity." Vyas's Ph.D. research at KAUST, under Professor Martin Mai, focused on the effects of rupture complexity and heterogeneities in Earth structure on ground motions. Currently a postdoctoral scholar at the University of Canterbury, New Zealand, Vyas credits KAUST's academic environment and facilities for nurturing his research and scientific growth. Why it matters: This award recognizes the high-caliber research conducted at KAUST and highlights the university's contribution to the field of seismology.
KAUST ·
KAUST Ph.D. student Ghulam Qadir received a best poster award at the GRASPA 2019 conference in Italy. The winning poster, titled "Estimation of Spatial Deformation for Non-stationary Processes via Variogram Alignment," was based on Qadir's Ph.D. research project. The research focuses on developing covariance models for multivariate nonstationary random fields with applications to environmental data. Why it matters: This award recognizes KAUST's contribution to environmental statistics and highlights the university's commitment to advancing research in this area.
KAUST ·
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.
KAUST ·
KAUST Ph.D. student Jinhui Xiong won the best paper award at the 24th International Symposium on Vision, Modeling, and Visualization in Germany for his paper "Stochastic Convolutional Sparse Coding". The paper, co-authored with KAUST Professors Peter Richtárik and Wolfgang Heidrich, introduces a novel stochastic spatial-domain solver for Convolutional Sparse Coding (CSC). The proposed algorithm outperforms state-of-the-art solutions in terms of execution time and offers an improved representation for learning dictionaries from sample images. Why it matters: This award recognizes significant research in efficient image representation and dictionary learning, contributing to advancements in visual computing and AI at KAUST.
KAUST ·
KAUST Ph.D. graduate Dr. Noha Al-Harthi and doctoral student Rabab Alomairy won the German Gauss Center for Supercomputing (GCS) Award for optimizing solvers for high-performance computing applications. Their work focused on acoustic boundary integral equations, common in engineering and fluid dynamics. The award provides them access to the supercomputer "Isambard" in the UK and other opportunities. Why it matters: This recognition highlights KAUST's leading role in high-performance computing research in the Middle East and the growing expertise in supercomputing among Saudi researchers.