MBZUAI highlighted five Emirati women making contributions in AI, entrepreneurship, and leadership, coinciding with Emirati Women’s Day. Fatima AlKhoori is pursuing a Ph.D. at MBZUAI, researching transformer models for autonomous vehicle traffic sign recognition using UAE and German datasets. Dr. Hanan Aldarmaki, an MBZUAI assistant professor, specializes in Arabic speech and language processing. Why it matters: Showcasing Emirati women in AI underscores the UAE's commitment to gender diversity and national talent development in advanced technology fields.
MBZUAI is highlighting five female leaders in AI for International Women’s Day, noting its 28% female student body. Dr. Farida Al Hosani is developing an AI healthcare solution for non-communicable diseases and was appointed VP of MBZUAI’s Alumni Advisory Board. Dr. Hanan Aldarmaki focuses on improving Arabic automated speech recognition and recently won an award for a paper on Arabic speech processing. Why it matters: Showcasing women in AI leadership helps promote diversity and inclusion in the field, especially in the context of the rapidly growing AI ecosystem in the UAE.
An article highlights the role of AI in promoting female empowerment, particularly in the UAE, where Emirati women entrepreneurs constitute a significant portion of business owners. MBZUAI is playing a key role by equipping women with AI skills, as exemplified by alumna Farha Albreiki, who is applying her ML expertise at Abu Dhabi Transmission and Despatch Company (TRANSCO). Albreiki is also involved in initiatives like the TRANSCO Women Working Group to foster gender diversity in the tech sector. Why it matters: This underscores the importance of AI education and initiatives within the GCC to support women's participation and leadership in technology and engineering.
MBZUAI valedictorian Shahd AlShamsi is using AI and ML to develop personalized cognitive healthcare, shifting treatment from reaction to prevention. Her master's research involves a digital twin framework that integrates representations of a person’s cognitive experience using deep learning models and EEG data. She hopes to develop a mobile application to extend her work to personalized mental health. Why it matters: This research highlights the potential of AI to improve personalized healthcare in the UAE and beyond, and demonstrates the contributions of Emirati researchers.
This paper focuses on analyzing surveys of women entrepreneurs in the UAE using machine learning techniques. The goal is to extract relevant insights from the data to understand the current landscape and predict future trends. The study aims to support better business decisions related to women in entrepreneurship.
Mae AlMansoori, a Senior Researcher at the Directed Energy Research Center (DERC) in the UAE, has been awarded the IEEE Mojgan Daneshmand Grant. She is the first woman from the UAE and the region to receive this grant, which recognizes women in STEM. AlMansoori will receive a $1,500 prize and present a paper at the IEEE International Symposium on Antennas and Propagation in Denver. Why it matters: This award highlights the growing role of women in STEM fields in the UAE and provides a platform for regional researchers to gain international recognition.
KAUST celebrates 15 years since its establishment as the first mixed-gender university in Saudi Arabia, highlighting its role in championing women in science. Numerous KAUST female graduates have achieved success in academia, government, and entrepreneurship. Programs like KGSP and the Ibn Rushd fellowship have been instrumental in nurturing talent and empowering women in STEM. Why it matters: KAUST's focus on gender equality and STEM education serves as a model for advancing women's contributions to technological and economic development in the region.