Two KAUST researchers, Leena Ibrahim and Taiba Alamoudi, were named L’Oréal-UNESCO for Women in Science Middle East Young Talents. Leena Ibrahim, an Assistant Professor in Bioscience, leads the Neural Circuits Lab and researches how sensory experiences shape the brain's ability to process information. Taiba Alamoudi is a Ph.D. candidate in Marine Science. Why it matters: This recognition highlights the growing contributions of women in STEM fields in the Middle East and KAUST's role in supporting female researchers.
KAUST is highlighting women in STEM, including Professor Leena Ibrahim, Ph.D. student Amani Al-Amodi, and postdoc Dr. Wejdan Alghamdi. Leena Ibrahim's research focuses on understanding how sensory perception is established across development, studying the role of inhibitory neurons in the cortex. She aims to uncover how disruptions in sensory processing contribute to neurodevelopmental disorders like autism. Why it matters: Showcasing women's contributions can inspire future generations of female researchers in the Kingdom and beyond.
KAUST Ph.D. student Reem Alghamdi is working at the KAUST Catalysis Center to improve the quality of industrially used polyethylene. Her research focuses on synthesizing a nanocomposite of polyethylene and nanomaterials to reinforce industrially made polymers, improving their mechanical characteristics. The resulting hybrid organic-inorganic product minimizes manufacturing defects, enhancing hardness. Why it matters: This research has the potential to significantly improve the durability and performance of polymer products across various sectors, from automotive to construction, impacting numerous industries in the region and beyond.
Ghada Ahmed, a fourth-year Ph.D. student at KAUST's Solar Center, researches semiconductor nanocrystals under the supervision of Assistant Professor Omar Mohammed. Her work focuses on the colloidal synthesis of quantum dots and nanocrystals with controlled sizes and shapes. She aims to understand photogenerated charge carrier dynamics and reaction mechanisms to optimize energy-efficient devices. Why it matters: This research contributes to advancements in materials science and renewable energy technologies within the Kingdom.
KAUST Discovery Associate Professor of Chemical Science Niveen Khashab received a 2017 L’Oréal-UNESCO For Women in Science Award. The award recognizes her research contributions in the field of physical science, specifically organic chemistry. The award highlights the impact of KAUST researchers on the global scientific community. Why it matters: This recognition underscores the growing prominence of women in STEM fields within the Middle East and the increasing global impact of research originating from Saudi Arabia.
KAUST's Women to Impact (WTI) initiative announced the winners of its Resilience Challenge, a global competition seeking tech-based solutions for building resilience in local ecosystems. The challenge, sponsored by SEDCO Holding, was part of KAUST's Winter Enrichment Program. First place went to AI-AMRS for their AI-based solution to antimicrobial resistance, while second and third place went to SandX/BiocharX for aridland agriculture and takeAbreath for stress management respectively. Why it matters: The challenge highlights KAUST's commitment to fostering innovation and supporting women in STEM, while addressing pressing global issues like climate change, food security, and health.
KAUST Associate Professor Derya Baran was named one of Forbes’ 20 Women Behind Middle Eastern Tech Brands for her work developing iyris SecondSky, a greenhouse roofing product. SecondSky uses nanoparticle additives to block heat while allowing light to pass through, reducing energy consumption by up to 40% and water use by 30%. The technology is already used in farms across 12 countries and is being considered for residential and commercial construction in Saudi Arabia. Why it matters: This recognition highlights the growing role of women in Middle Eastern tech and the potential for KAUST-developed technologies to address sustainability challenges in the region.
The paper introduces Juhaina, a 9.24B parameter Arabic-English bilingual LLM trained with an 8,192 token context window. It identifies limitations in the Open Arabic LLM Leaderboard (OALL) and proposes a new benchmark, CamelEval, for more comprehensive evaluation. Juhaina outperforms models like Llama and Gemma in generating helpful Arabic responses and understanding cultural nuances. Why it matters: This culturally-aligned LLM and associated benchmark could significantly advance Arabic NLP and democratize AI access for Arabic speakers.