MBZUAI visiting professor of computer vision, Xiaojun Chang, has been named to Clarivate’s 2024 Highly Cited Researchers list, placing him in the top 1% of researchers worldwide. Chang has accumulated over 18,000 citations from around 200 papers, with his research focusing on multimodal foundation models and their applications to embodied AI and healthcare. Chang also holds positions at the University of Technology Sydney and RMIT University in Australia. Why it matters: This recognition highlights MBZUAI's growing impact and its role in fostering interdisciplinary collaboration and innovation in AI research, attracting further opportunities and collaborations.
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.
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.
MBZUAI President Eric Xing has been named an ACM Fellow for his contributions to machine learning algorithms, architectures, and applications. His research focuses on machine learning, statistical methodology, and large-scale computational systems. As MBZUAI’s first president, Xing has facilitated the university's growth in AI research. Why it matters: The recognition of MBZUAI's president highlights the university's growing prominence and commitment to AI research and development in the region.
KAUST led a session at the World Economic Forum's Meeting of the New Champions in Dalian, China, focusing on sustainability science. President Tony Chan and faculty members Peiying Hong, Mohamed Eddaoudi, and Derya Baran presented KAUST's research in water reuse, carbon capture, and transparent solar cells. Derya Baran highlighted KAUST spinoff iyris, which aims to turn windows into solar power plants. Why it matters: This showcases KAUST's role as an innovative hub for global research and education, particularly in green technologies, and highlights the university's commitment to addressing environmental challenges.
KAUST President Tony Chan will participate in a panel discussion titled 'Between East and West' on October 15. The panel will include Eng Chye Tan, President of the National University of Singapore, and Da Hsuan Feng, a theoretical physicist. The discussion will focus on challenges and opportunities in leading institutions in the 21st century, with a focus on the global higher education landscape. Why it matters: The event provides insights into KAUST's role in bridging Eastern and Western academic perspectives and its efforts to navigate the evolving global education landscape.
Fudan University's Zhongyu Wei presented research on social simulation driven by LLMs, covering individual and large-scale social movement simulation. Wei directs the Data Intelligence and Social Computing Lab (Fudan DISC) and has published extensively on multimodal large models and social computing. His work includes the Volcano multimodal model, DISC-MedLLM, and ElectionSim. Why it matters: Using LLMs for social simulation could provide new tools for understanding and potentially predicting social dynamics in the Arab world.
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.