MBZUAI's Women in AI (WAI) club, founded by master’s students Asma Hashmi and Ameera Bawazir, aims to increase female representation in AI at MBZUAI and the UAE. The club aligns with the International Day of Women and Girls in Science, addressing the underrepresentation of women in AI globally (22%). MBZUAI reports 31% female students in its first cohort and hopes to increase this, supported by faculty like Prof. Najwa Aaraj. Why it matters: This initiative highlights efforts to close the gender gap in AI within the UAE's leading AI university, fostering a more inclusive and diverse tech ecosystem.
KAUST Ph.D. student Asma Al-Amoodi received the 2019 L’Oréal-UNESCO For Women in Science Middle East Fellowship for her work on stem cell treatments for hematological diseases. Her research focuses on improving the migration of hematopoietic stem cells to the bone marrow after transplantation. Al-Amoodi was granted €8,000 to support her doctoral research at KAUST under the supervision of Associate Professor Jasmeen Merzaban. Why it matters: The fellowship highlights the increasing role of women in STEM in Saudi Arabia and supports research with potential therapeutic impact.
The UrduFake@FIRE2021 shared task focused on fake news detection in the Urdu language, framed as a binary classification problem. 34 teams registered, with 18 submitting results and 11 providing technical reports, showcasing diverse approaches. The top-performing system utilized the stochastic gradient descent (SGD) algorithm, achieving an F-score of 0.679.
KAUST has launched Hikma, a new accelerator program to develop intellectual property-based startups, involving 16 teams from KAUST and regional universities. The 6-month program is run by the KAUST Entrepreneurship Center with assistance from the KAUST Technology Transfer Office. Hikma aims to provide a structured development process for startups focused on intellectual property and assist in creating homegrown businesses from university technologies. Why it matters: This initiative signals KAUST's commitment to supporting economic development in Saudi Arabia by fostering knowledge-based startups and maximizing the impact of university research.
The KAUST Smart Health Initiative (KSHI) held its annual conference on November 1-2, focusing on health and wellness in KSA. The conference featured speakers from clinical, academic, government, NGO, and health industry institutions. Saudi's first female astronaut, Ms. Rayyanah Barnawi, participated in a panel discussing space medicine and its impact. Why it matters: The event highlights KAUST's commitment to precision medicine and showcases the potential of space research to benefit healthcare on Earth.
Dr. Pooja Khosla, formerly an academic, co-founded Entelligent, a climate fintech startup that uses big data and machine learning to help companies manage climate change risk. Khosla recently spoke at MBZUAI, advising academics to translate research into real-world applications, leveraging their unique access to data and analytical thinking. She emphasized the importance of simplifying complex work to make it accessible, noting AI's role in accelerating complex tasks. Why it matters: This highlights the growing trend of translating academic research into practical, impactful business solutions within the AI and climate tech sectors, potentially inspiring more researchers in the region to pursue entrepreneurial ventures.
This paper introduces a new task: detecting propaganda techniques in code-switched text. The authors created and released a corpus of 1,030 English-Roman Urdu code-switched texts annotated with 20 propaganda techniques. Experiments show the importance of directly modeling multilinguality and using the right fine-tuning strategy for this task.
The Symposium on Data Mining and Applications (SDMA 2014) was organized by MEGDAM to foster collaboration among data mining and machine learning researchers in Saudi Arabia, GCC countries, and the Middle East. The symposium covered areas such as statistics, computational intelligence, pattern recognition, databases, Big Data Mining and visualization. Acceptance was based on originality, significance and quality of contribution.