KAUST has appointed Dr. Chak Chan as the new dean of its Physical Science and Engineering (PSE) division, commencing in May 2023. Dr. Chan previously served as the Dean of the School of Energy and Environment at the City University of Hong Kong and brings over 14 years of administrative experience. His research focuses on the physical chemistry of the atmosphere, aligning with KAUST's focus on climate, livability, and sustainability. Why it matters: This appointment strengthens KAUST's leadership in physical science and engineering, particularly in areas related to environmental sustainability and interdisciplinary research, aligning with Saudi Arabia's priorities.
A new paper from MBZUAI researchers explores using ChatGPT to combat the spread of fake news. The researchers, including Preslav Nakov and Liangming Pan, demonstrate that ChatGPT can be used to fact-check published information. Their paper, "Fact-Checking Complex Claims with Program-Guided Reasoning," was accepted at ACL 2023. Why it matters: This research highlights the potential of large language models to address the growing challenge of misinformation, with implications for maintaining information integrity in the digital age.
Dr. Tony Chan has assumed the role of President of KAUST on September 1st. He previously led the Hong Kong University of Science and Technology (HKUST) for a decade. Prior to that, he had a distinguished career in computational mathematics and held leadership positions at the U.S. National Science Foundation and the University of California, Los Angeles. Why it matters: Chan's appointment signals KAUST's continued focus on advancing its global research agenda and contributing to Saudi Arabia's Vision 2030.
KAUST President Tony F. Chan has been awarded the 2020 SIAM Prize for Distinguished Service to the Profession. The award recognizes Chan's contributions to applied and computational mathematics, imaging science, and scientific computing. Chan has served on advisory boards for KAIST, SUSTech, and the University of Vienna, and is a member of the NEOM Higher Council. Why it matters: The recognition highlights KAUST's leadership and influence in advancing mathematical sciences and its applications on a global stage.
Dr. Zeke Xie from HKUST(GZ) presented research on noise initialization and sampling strategies for diffusion models. The talk covered golden noise for text-to-image models, zigzag diffusion sampling, smooth initializations for video diffusion, and leveraging image diffusion for video synthesis. Xie leads the xLeaF Lab, focusing on optimization, inference, and generative AI, with previous experience at Baidu Research. Why it matters: The work addresses core challenges in improving the quality and diversity of generated content from diffusion models, a key area of advancement for AI applications in the region.
This paper introduces a novel approach for monitoring and analyzing the evolution of complex geographic objects in satellite image time-series. The method uses a spatiotemporal graph and constraint satisfaction problems (CSP) to model and analyze object changes. Experiments on real-world satellite images from Saudi Arabian cities demonstrate the effectiveness of the proposed approach.
This paper introduces an explainable machine learning framework for early-stage chronic kidney disease (CKD) screening, specifically designed for low-resource settings in Bangladesh and South Asia. The framework utilizes a community-based dataset from Bangladesh and evaluates multiple ML classifiers with feature selection techniques. Results show that the ML models achieve high accuracy and sensitivity, outperforming existing screening tools and demonstrating strong generalizability across independent datasets from India, the UAE, and Bangladesh.