MBZUAI has students from 40 countries enrolled in its Master's and Ph.D. programs. Emiratis comprise 13% of the student body while females make up 31% of all students. The university offers graduate programs in Computer Vision, Machine Learning, and Natural Language Processing and has a student-faculty ratio of 1:4. Why it matters: This highlights MBZUAI's growing international presence and its role in developing AI talent in the UAE.
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) emphasizes campus life to support its growing international student population. The Masdar City campus provides living quarters, communal spaces, and services for student wellbeing. MBZUAI offers advanced AI labs with nearly 1,000 Nvidia GPU servers and high-performance computing resources, along with technology-enhanced classrooms and a well-stocked library. Why it matters: This focus on comprehensive campus resources signals MBZUAI's commitment to attracting and supporting top AI talent in the UAE.
Wanfang Chen and Yuxiao Li, a married couple, came to KAUST in August 2016 to pursue Ph.D. studies in statistics under the supervision of Distinguished Professor Marc Genton and Professor Ying Sun respectively. Prior to KAUST, they obtained degrees from the Beijing Institute of Technology, with Chen also attending Xiamen University and Li attending the University of California, Irvine. Both students have completed their first academic papers and have submitted the papers to journals. Why it matters: This highlights KAUST's ability to attract international talent in STEM fields, contributing to its research output and global reputation.
Undergraduate students from the University of Electronic Science and Technology of China (UESTC) in Chengdu visited KAUST for a one-week Spring Camp in March. The students, chosen from the top 10 percent of UESTC undergraduates, toured the CEMSE division. The UESTC students shared a presentation about their KAUST experience at the conclusion of the trip. Why it matters: The visit highlights KAUST's ongoing efforts to attract international talent and foster collaborations with leading universities.
Ahmad Alabdulghani, a KAUST master's student in Energy Resources and Petroleum Engineering, is studying fluid flow mechanisms in heterogeneous media under the supervision of Professor Hussein Hoteit. Alabdulghani is a member of the Advanced Reservoir Modeling and Simulation (ARMS) research group at ANPERC. He previously worked at Saudi Aramco's EXPEC Advanced Research Center and aims to pursue a doctorate at KAUST. Why it matters: This highlights KAUST's role in developing Saudi talent for the energy sector and fostering collaboration between academia and industry.