KAUST held its Spring 2014 graduation ceremony on June 7, honoring 11 Ph.D. and 20 master's degree candidates from nine countries. KAUST President Jean-Lou Chameau congratulated the graduates, noting their contributions to research and KAUST's global influence. Faculty members advised the graduates to aim high and uphold KAUST's values in their future endeavors. Why it matters: While routine, the graduation highlights KAUST's ongoing role in developing scientific talent within Saudi Arabia and internationally.
Areej Aljarb is a Ph.D. student in material science and engineering at KAUST, researching 2D materials within the KAUST 2D Materials Research Lab under Professors Lain-Jong Li and Xixiang Zhang. Her research focuses on the controlled growth and fundamental phenomena of two-dimensional atomic layer thin materials, specifically controlling the orientation of 2D transition metal dichalcogenides (TMDs). Aljarb aims to achieve single-orientation epitaxial monolayer 2D TMDs to fully utilize the potential of these materials. Why it matters: This highlights KAUST's commitment to fostering local talent and contributing to advanced materials research with potential applications in various technology sectors.
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.
MBZUAI has opened graduate admissions for the 2023/2024 academic year, offering master’s and doctoral programs in computer vision, machine learning, and natural language processing. The university ranks in the top 25 globally in AI, computer vision, machine learning, and NLP, according to Computer Science Rankings. In Fall 2022, MBZUAI welcomed 125 new students, including 22 doctoral and 105 master’s students, bringing the total student population to over 250. Why it matters: This signals continued growth for MBZUAI as a leading AI research institution in the region, attracting international talent and contributing to the development of AI expertise in the UAE.
MBZUAI's inaugural class included eight Emirati master's graduates in computer vision and machine learning, making up 15% of the Class of 2022. All eight have secured employment or will pursue Ph.D. studies at MBZUAI, contributing to healthcare, technology, energy, transport, and government sectors in the UAE. Fatima Albreiki and Wafa Al Ghallabi will continue at MBZUAI for Ph.D. studies in Computer Vision. Why it matters: MBZUAI is nurturing local AI talent to support the UAE's national strategy and address global challenges in key sectors.
KAUST highlights postdoctoral fellows Yi Jin Liew, Isabelle Schulz, Maren Ziegler and Neus Garcias Bonet outside the University Library. The article mentions King Abdullah bin Abdulaziz Al Saud (1924 – 2015). It encourages applications to KAUST's Discovery Postdoctoral program. Why it matters: This brief announcement signals KAUST's ongoing investment in attracting international research talent to Saudi Arabia.
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.
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.