KAUST ·
Dalal Alezi, a Ph.D. student in KAUST's Physical Science and Engineering Division, has received the inaugural PSE Division Student Award. Alezi is a fourth-year Ph.D. candidate. The award recognizes outstanding Ph.D. candidates within the division. Why it matters: The award highlights KAUST's commitment to recognizing and supporting exceptional talent in science and engineering.
KAUST ·
KAUST Ph.D. student Yuxiao Li received a Student Paper Award from the American Statistical Association (ASA) for his paper on efficient estimation of non-stationary spatial covariance functions. The award-winning paper is Li's first research paper at KAUST, completed as a member of the Environmental Statistics Group led by Professor Ying Sun. His research focuses on short-term space-time precipitation modeling, addressing the challenges of modeling rainfall zeros and amounts along with complex spatio-temporal dependencies. Why it matters: This award recognizes KAUST's contributions to advanced statistical methods for environmental modeling, highlighting the university's strength in addressing complex environmental challenges.
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 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 ·
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 Ph.D. alumna Sabrina Vettori and Ph.D. student Yuxiao Li received a Distinguished Student Paper Award at the 2018 Eastern North American Region (ENAR) Spring Meeting of the International Biometric Society. Li's paper focused on efficient estimation for non-stationary spatial covariance functions, while Vettori's paper addressed Bayesian hierarchical modelling of air pollution extremes. Both students were recognized for their contributions to statistical environmental studies and air pollution modeling. Why it matters: This award highlights KAUST's commitment to fostering high-quality research and recognizes the achievements of its students in addressing critical environmental challenges.
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 Gaurav Agarwal won the best student paper award at the International Indian Statistical Association's 2019 Student Paper Competition for his work on the joint distribution of wind speed and direction. Agarwal's research involved developing a visualization tool for bivariate functional data, which can be used in climate and weather prediction models. He also received a scholarship based on his contributions using R. Why it matters: This award recognizes innovative work in environmental statistics at KAUST, highlighting the university's contributions to data science and statistical learning with applications to climate modeling.