KAUST held its 6th annual alumni meeting in China, in partnership with the Hangzhou Association of Science and Technology. 21 KAUST alumni visited innovation parks and enterprises in Hangzhou to explore collaborations. The meeting facilitated engagement with local business leaders and government officials regarding technologies in security, green energy, and health. Why it matters: Such meetings foster international collaboration and technology transfer, showcasing KAUST's role in connecting research with commercial opportunities in strategic regions like China.
KAUST alumnus Jian Pan (M.S. '11) is working as general manager of Hangzhou Bertzer Catalyst, a water/wastewater treatment and pollution control technology company in China. Prior to this role, he worked at the King Abdullah Petroleum Studies and Research Center and the Environmental Technology Innovation Center of Jiande. He also developed 12 technologies/products, including catalysts for advanced wastewater treatment and a portable water guarantee system. Why it matters: This highlights KAUST's role in nurturing talent that contributes to environmental solutions globally, specifically in water treatment and pollution control.
The KAUST China Alumni Chapter donated anti-pandemic materials, including 2,000 face masks and two Health Guard Robots, to KAUST during the COVID-19 crisis. The donation also included technical advice from alumni. The Hangzhou Association for Science and Technology (HAST) supported the donation of masks. Why it matters: This contribution highlights the strong connection between KAUST and its international alumni network, showcasing their commitment to supporting the university during challenging times.
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.
In a 2018 KAUST lecture, MIT professor Kamal Youcef-Toumi discussed the case of Ordos Kangbashi, a Chinese city designed for a million residents that became a near-ghost town. Despite government incentives, the city struggled due to an economic downturn and lack of social and economic balance. Youcef-Toumi emphasized the importance of the public realm and a balance between social and economic development for successful cities. Why it matters: The analysis provides insights relevant to urban planning in Saudi Arabia and the broader GCC region, where new cities and megaprojects are being developed.