KAUST Associate Professor Xiangliang Zhang leads the Machine Intelligence and Knowledge Engineering (MINE) group, focusing on machine learning and data mining algorithms for AI applications. The MINE group researches complex graph data to profile nodes, predict links, detect computing communities, and understand their connections. Zhang's team also works on graph alignment and recommender systems. Why it matters: This research contributes to advancing machine learning techniques at a leading GCC institution, potentially impacting various AI applications in the region.
KAUST Associate Professor Xiangliang Zhang presented her work on mining streaming and temporal data at the International Joint Conference on Artificial Intelligence and the European Conference on Artificial Intelligence (IJCAI-ECAI-18) in Stockholm. Her talk, "Mining Streaming and Temporal Data: from Representation to Knowledge," summarized her research on mining data streams. Zhang directs the KAUST Machine Intelligence and kNowledge Engineering (MINE) group, which focuses on knowledge discovery from large-scale data. Why it matters: Showcases KAUST's contributions to AI research and highlights the university's growing recognition within the international AI community.
KAUST Associate Professor Xiangliang Zhang is using machine learning to analyze social media posts on Twitter related to COVID-19. Her team at KAUST's Computational Bioscience Research Center is analyzing sentiment in tweets using hashtags like #coronavirus and #covid19. Zhang aims to use this data to help predict localized outbreaks and provide an early warning system for governments and organizations. Why it matters: This research demonstrates the potential of AI-powered sentiment analysis to support public health efforts and inform decision-making during pandemics in the Middle East and globally.
Xiaohang Li has joined the Computer, Electrical and Mathematical Science and Engineering Division at KAUST as an assistant professor of electrical engineering. He will focus on research and teaching within the electrical engineering domain. Why it matters: The appointment strengthens KAUST's faculty expertise in electrical engineering and related areas.
KAUST Professor Xixiang Zhang was elected as a fellow of the American Physical Society (APS) in September. Zhang is a professor of Material Science and Engineering. The fellowship recognizes his contributions to the field of physics. Why it matters: Recognition of KAUST faculty highlights the institution's growing prominence in international scientific communities.
KAUST Assistant Professor Xiaohang Li has won the 2018 Harold M. Manasevit Young Investigator Award for his work in metal-organic chemical vapor deposition (MOCVD) growth of semiconductors. Li will receive the award at the 19th International Conference on Metalorganic Vapor Phase Epitaxy in Japan. The award recognizes Li's contributions to deep UV lasers, B-III-N alloys, III-oxides, and blue and green emitters. Why it matters: This award highlights KAUST's growing prominence in advanced semiconductor research and its potential impact on the optoelectronics industry.
MBZUAI Professor Kun Zhang received a Test of Time Award Honorable Mention at ICML 2022 for his 2012 paper “On causal and anticausal learning." The paper, co-authored with researchers from the Max-Planck Institute, is considered foundational for causal learning in machine learning. Zhang's work demonstrated the importance of causality for machine learning tasks, helping to shift views in the field. Why it matters: This award highlights the growing recognition of causal AI research and MBZUAI's role in advancing the field.
LibrAI is an AI startup founded by Xudong Han, a University of Melbourne PhD graduate, in December 2023 after the release of ChatGPT. The company focuses on advancing AI safety and responsible AI practices, building on Han's prior work creating FairLib, an open-source toolkit for fairness in deep neural networks. LibrAI's team of seven aims to create practical solutions ensuring AI is both responsible and revolutionary. Why it matters: The establishment of a startup focused on AI safety highlights growing awareness of ethical considerations in AI development within the region.