MBZUAI honored five Emirati women

According to Amac News: In the announcement of Mohammed Bin Zayed University of Artificial Intelligence (MBZUAI), it is stated that currently, 34 Emirati female students are studying in this university.
According to the announcement, the total number of students of this University is 381 people from 49 countries, 30% are women and 70% are men.
MBZUAI selected five Emirati women who are either current students, alumni or faculty at MBZUAI and are making a positive impact while inspiring others across the UAE and the tech industries to follow their dreams.
Fatima AlKhoori, a transportation engineer with extensive industry experience, including as an R&D specialist for Etihad Rail, is pursuing a PhD in machine learning at MBZUAI.
His research on transformer model architecture aims to increase the accuracy of traffic sign recognition by autonomous vehicles, a critical area for the safe integration of autonomous technologies.
Using UAE-specific and global data sets, AlKhoori contributes to developments that can significantly improve transport safety in the UAE, reflecting his deep commitment to solving key infrastructure challenges from It is through artificial intelligence.
Dr. Hanan Aldarmaki is a leading expert in speech and Arabic language processing at MBZUAI, where he investigates artificial intelligence methods such as unsupervised learning and transfer learning to adapt text and speech models for low-resource languages.
His work focuses on documenting Emirati accents, enhancing their representation in artificial intelligence models, and addressing speech and language disorders. Dr. Aldarmaki's commitment to impactful teaching and research, coupled with his leadership of the UAE Graduate Student Research Conference, underscores his influential role in advancing NLP and supporting the next generation of AI researchers.
Maha Alblooki is a distinguished master's student at MBZUAI, specializing in Arabic natural language processing. His research focuses on the development of a large language model (LLM) to preserve the cultural heritage of Arabic proverbs, with special emphasis on Emirati sayings.
Alblooki has made significant strides in fine-tuning BERT models for the Arabic language and pioneering optical character recognition (OCR) techniques to address the challenges of Arabic script. His work has been instrumental in advancing the ability of artificial intelligence to digitize and preserve Arabic documents, contributing to the cultural and technological preservation of the language.
Maitha Alshehhi, a master's student at MBZUAI, is dedicated to the responsible deployment of AI technologies. Recognized as a top innovator at G42 Cloud, Alshehhi's research focuses on developing systems that enable AI to be contextually smarter and more adaptive, aligning with the UAE's AI strategy and ethics.
His commitment to promoting transparency, fairness and inclusiveness in AI, combined with his ambition to inspire future innovators, highlights his influential role in shaping a future in which AI serves the best interests of humanity. .
Wafa Alghallabi, MBZUAI graduate and current PhD student, is at the forefront of AI's transformative potential in medicine. His research on medical imaging aims to increase diagnostic accuracy and improve patient outcomes.
Beyond academia, Alghallabi has founded a startup focused on AI-based healthcare solutions that won first place at the MBZUAI Incubation and Entrepreneurship Center Pitch Day. Her achievements reflect the UAE's vision to empower women to lead and make significant contributions to the country and the global vision of AI.