KAUST's Visual Computing Center had two papers recognized at IEEE VIS 2023. One paper, from Prof. Markus Hadwiger's group, introduced a new method for detecting and visualizing vortex structures in 2D fluid flows, which was recognized as one of the best papers. The second paper, from Prof. Ivan Viola's team, presented Dr. KID, a visualization framework for physicalizing biological structures into 3D-printed models, receiving an honorable mention. Why it matters: These awards highlight KAUST's contributions to cutting-edge visualization techniques with potential applications in diverse scientific and engineering fields.
KAUST's Visualization Core Lab (KVL) has released inshimtu, a pseudo in situ visualization system for scientists working with large datasets and supercomputer simulations. Inshimtu simplifies the implementation of in situ visualization by using existing simulation output files without requiring changes to the simulation code. It helps scientists determine if implementing a full in situ visualization into their code is worthwhile. Why it matters: This open-source tool can improve the efficiency of supercomputing research in the region by allowing researchers to assess the value of in situ visualization before fully committing to it.
The KAUST Smart-Health Initiative (KSHI) held its annual forum, showcasing research collaborations with partners like KFSHRC, KAIMRC, and KACST. Projects presented included biomarker detection devices, cardiovascular disease sensors, 3D data visualization, and genome sequencing for patient data analysis. Dr. Sara F. Althari highlighted KAUST's cultivation of partnerships within the Kingdom's healthcare and biotech ecosystem. Why it matters: The KSHI aims to transform Saudi Arabia's healthcare system towards precision and personalized medicine, aligning with Vision 2030.
KAUST and the Saudi Electricity Company (SEC) collaborated to reduce non-technical losses in the Saudi power sector using machine learning. KAUST Visualization Core Lab (KVL) developed models using five years of SEC billing data from the Riyadh area to predict electricity usage and detect anomalous billing transactions. SEC estimates it could recover at least 73,000,000 SAR in lost revenue by correcting anomalies identified by KAUST models. Why it matters: This partnership demonstrates the potential of AI to address inefficiencies and fraud in critical infrastructure sectors in Saudi Arabia.
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.
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 alumnus Ronell Sicat (M.S. '10, Ph.D. '15) is developing immersive data visualization tools using augmented and virtual reality (AR/VR). After a postdoc at Harvard, Sicat returned to KAUST as a research scientist in the Visual Computing Center. Sicat developed a tool called DXR to help researchers prototype immersive visualizations. Why it matters: This highlights KAUST's role in fostering talent and innovation in AR/VR, a growing area with applications across various sectors in Saudi Arabia.
KAUST held a research conference on Computational and Statistical Interface to Big Data from March 19-21. The conference covered topics like data representation, visualization, parallel algorithms, and large-scale machine learning. Participants came from institutions including the American University of Sharjah, Aalborg University, and others to exchange ideas. Why it matters: The conference highlights KAUST's focus on promoting big data research and collaboration to address challenges and opportunities in various scientific fields within the Kingdom and globally.