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Recognizing five Emirati women championing AI, entrepreneurship, and leadership in the UAE

MBZUAI · Invalid Date

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.

Driving towards innovation: a visionary approach to traffic sign detection and recognition

MBZUAI · Invalid Date

MBZUAI student Fatima Ahmed Khalil Mohamed Alkhoori is researching machine learning techniques to improve traffic sign recognition for autonomous vehicles. Her work focuses on using transformer model architectures to enhance the ability of autonomous vehicles to accurately recognize traffic signs in varying environmental conditions. The research aims to address challenges such as viewing angle, lighting variations, and shadows that can confuse regular models. Why it matters: This research contributes to the advancement of safe and effective autonomous vehicle navigation, aligning with the UAE's vision of having a world-class transportation system.