Mohamed bin Zayed University for Artificial Intelligence celebrated the research achievements of its female staff on the International Women’s Day, which falls on the 8th of March every year.
The university aims to promote diversity in decision-makers in the field of artificial intelligence within the country and enhance gender equality in various scientific, technological, engineering, and mathematical fields. The percentage of female students at the university is 28%, with many full-time working women among the faculty and researchers, reflecting a balanced gender distribution where the total female workforce is 52%.
In the following report, the university highlights five women who have a significant impact as faculty members, researchers, students, or graduates.
Dr. Fareeda Al-Hosani, Vice-Chair of the Alumni Advisory Council at Mohamed bin Zayed University in the field of artificial intelligence, is a graduate of an executive program in the same specialization and also serves as the Executive Director of the Infectious Diseases Department at the Abu Dhabi Health Center.
During her participation in the executive program at Mohamed bin Zayed University for Artificial Intelligence, she developed a research project to create an AI-based solution in healthcare to address non-communicable diseases in the UAE, such as diabetes, heart diseases, and cancer.
AI was used to improve healthcare providers’ information through data analysis and enhance the overall patient experience. She was recently appointed as Deputy to the Alumni Advisory Council of the university, which will work on developing entrepreneurship for graduates and energizing other professional programs, events, and initiatives.
Dr. Hanan Al-Darmaki, who works as an Assistant Professor in the Natural Language Processing Department at the university, focuses her research on improving speech recognition in languages with limited resources or insufficient data to train the necessary computer models for speech recognition and virtual assistance, particularly in the Arabic language.
She was recently honored as the co-author of the best research paper at the first conference on natural language processing in Arabic, alongside other members of the Mohamed bin Zayed University for Artificial Intelligence team. This team shared their study on enhancing speech processing techniques in the Arabic language through an application capable of processing speech and texts, in addition to recognizing various Arabic dialects.
Dr. Al-Darmaki is mentioned to have joined Mohamed bin Zayed University for Artificial Intelligence in 2022 after working at United Arab Emirates University, the Statistics Center in Abu Dhabi, and the Dubai Electricity and Water Authority.
Salma Al-Rashidi is currently pursuing a Master’s degree in Mohamed bin Zayed University for Artificial Intelligence focusing her research on machine learning, with a strong interest in healthcare applications.
The Emirati student has extensive knowledge in molecular biology and her research focuses on preventing over-specialization in predicting the growth model associated with the gene copy number. She aims to develop AI mechanisms to keep pace with cancer evolution, towards seeking more accurate and information-based genetic therapies. Al-Rashidi stands out for a unique blend of biological experience and advanced artificial intelligence interest.
With technology to address healthcare challenges, her strong desire to contribute actively to cancer combat is evident, reflecting her continuous dedication to making a tangible impact in the oncology field.
Karima Qadwi graduated from Mohamed bin Zayed University for Artificial Intelligence as one of the top graduates of 2022 after obtaining a master’s degree.
In the field of machine learning.Its message focuses on distinguishing speech disorders, aiming to recognize different forms of disfluency that may appear in individuals struggling with pronunciation difficulties, and converting them into a form that aligns with proper speech.
The Moroccan graduate has been working as an assistant researcher at Mohammed Bin Zayed University for Artificial Intelligence, where she is currently striving to strike a balance between the Arabic language and its dialects in the field of natural language processing, whether in writing or speaking.
Her future aspirations include pursuing further studies and obtaining a Ph.D. to deepen her knowledge. She aims to continue using artificial intelligence to serve underprivileged communities and enhance her expertise in natural language processing and computer vision, with the goal of following a broad approach in the field of comprehensive and assistant artificial intelligence.
Hawwa Olamid continues her studies to earn a Master’s degree in machine learning specialization from Mohammed Bin Zayed University for Artificial Intelligence, where she serves as the head of the student council.
She works as a member of the MetaVerse Center at the university, focusing on sustainable models in the field of multimedia systems for speech recognition and generation, especially in the Arabic language.
Her research has been honored in several international events and conferences, and she plans to pursue her studies to obtain a Ph.D. in the field of using artificial intelligence for diagnosing, treating, and evaluating speech disorders, as well as utilizing innovative AI-based solutions to serve various sectors such as healthcare to improve quality of life, especially in developing countries.
(WAM)
