Jasmeen Merzaban, a KAUST assistant professor of bioscience, received a L'Oréal-UNESCO For Women in Science International Rising Talents award at a ceremony in Paris on March 24. Merzaban's research focuses on immunology and stem cell research. The award recognizes her contributions to science and potential for future impact. Why it matters: This award highlights the growing scientific expertise and recognition of researchers at KAUST and in Saudi Arabia.
Jasmeen Merzaban, Assistant Professor of Bioscience, and Ph.D. student Nouf Alshareef, both from KAUST, have received L'Oréal-UNESCO "For Women in Science" fellowships. Merzaban was recognized for her immunology research, and Alshareef for her work on salinity tolerance in plants. The fellowships were awarded at a ceremony in Dubai, highlighting the contributions of Arab women scientists. Why it matters: The awards spotlight the growing role of women in STEM fields within the GCC and KAUST's commitment to fostering high-quality research in the region.
KAUST Assistant Professor Dana Alsulaiman was named a L'Oréal-UNESCO For Women in Science Middle East Regional Young Talent. Alsulaiman was recognized for her work developing biomarker detection technologies for early and accurate disease detection. KAUST Ph.D. student Lila Aldakheel also received an award for her research on microplastics in mangrove forests. Why it matters: The recognition highlights the rising prominence and impact of female scientists at Saudi institutions in addressing key challenges like healthcare and environmental sustainability.
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.