KAUST ·
KAUST Ph.D. student Manal Al-Qahtani won a best poster presentation award. The award was presented in the late summer of 2016. The announcement was made on the KAUST website. Why it matters: Showcases the achievements and talent within KAUST's Ph.D. program.
KAUST ·
KAUST alumna Manal Kalkatawi (Ph.D. '17), now an assistant professor at King Abdulaziz University (KAU), reflects positively on her time at KAUST. She earned a Ph.D. in computer science with a focus on bioinformatics and supervises master's theses at KAU. Kalkatawi emphasizes the positive and enriching atmosphere at KAUST, which helped her publish in prestigious journals. Why it matters: This highlights KAUST's role in developing Saudi talent in technical fields like bioinformatics and retaining them within the Kingdom's universities.
KAUST ·
KAUST Ph.D. student Mohammed Aljahdali received the Best Paper award at the International Conference on Federated Learning Technologies and Applications (FLTA) 2025 for his research on federated learning. His paper, "Flashback: Understanding and Mitigating Forgetting in Federated Learning," introduces an algorithm to help AI systems retain knowledge across diverse datasets while preserving privacy. Aljahdali's research, supervised by Professor Marco Canini, focuses on training machine learning models directly on user devices. Why it matters: This award recognizes the growing talent and impactful research emerging from Saudi universities in the field of privacy-preserving AI.
KAUST ·
Sahika Inal is an assistant professor of bioscience at KAUST's Biological and Environmental Science and Engineering Division. She is a faculty member at King Abdullah University of Science and Technology. Why it matters: This highlights KAUST's ongoing investment in attracting research talent in bioscience.
KAUST ·
KAUST alumna Wedyan Babatain was named a 2022 MENA Innovator Under 35 by MIT Technology Review Arabia. Babatain was recognized for her research developing a soft multifunctional wearable platform using graphene and liquid metal-based electronics. She is currently a postdoctoral research fellow at MIT Media Lab, developing soft tangible interfaces and robotics platforms. Why it matters: This award highlights the increasing recognition of young Saudi researchers and KAUST's role in fostering innovative research in advanced materials and wearable technology.
KAUST ·
KAUST and THIQAH, a technology company specializing in regulation technology and digital products, have signed a Memorandum of Understanding (MoU) on November 13, 2023. The partnership aims to foster innovation in the digital landscape through collaborative research and development of data applications and AI. The collaboration aligns with Saudi Vision 2030, focusing on digital technologies to develop innovative products and solutions while also developing human skills. Why it matters: This partnership between a leading Saudi university and a technology company signals a push towards local innovation in digital solutions and AI, potentially creating new opportunities and advancing Saudi Arabia's technological capabilities.
KAUST ·
Kamal Mousa Al-Jahni, a Saudi Ph.D. student at the University of South Florida, is researching natural water springs in Saudi Arabia, Jordan, and Oman, leveraging facilities at the KAUST Analytical Chemistry Core Lab (ACL). Al-Jahni is expanding on his master's research, collaborating with King Saud University and utilizing KAUST's specialized testing facilities and expert staff. He aims to improve sample collection and utilize advanced lab equipment. Why it matters: This research contributes to a better understanding of water resources in the Arabian Peninsula and demonstrates KAUST's role in supporting environmental research and training Saudi researchers.
KAUST ·
KAUST Associate Professor Taous-Meriem Laleg-Kirati leads the Estimation, Modeling and ANalysis (EMAN) research group, focusing on control theory, system modeling, and signal applications. Her group develops mathematical models and algorithms to control processes relying on real-time feedback, especially for systems where experimental data is limited. The EMAN group recently developed a real-time control algorithm for a solar membrane distillation system, increasing water production by over 50% in simulations. Why it matters: Laleg-Kirati's work advances both engineering and healthcare by combining model-based research with AI, offering opportunities for personalized medicine and efficient resource management in the region.