MBZUAI awarded its first Ph.D. to Numan Saeed for his dissertation, "Deep Learning for Cancer Diagnosis and Prognosis." Saeed's research explores using deep learning models to diagnose tumors and predict survival rates for head and neck cancers by interpreting PET and CT scan imagery and doctor's notes. The AI model considers variables like age, gender, and tumor size to improve diagnosis, especially in regions with limited oncological services. Why it matters: This milestone highlights MBZUAI's growing role in AI research and its potential to contribute to advancements in AI-driven healthcare solutions, particularly for cancer diagnosis and treatment.
MBZUAI will graduate its first three Ph.D. students on June 6, 2024. Numan Saeed's research focused on using AI and big data to diagnose head and neck cancers using PET and CT scans, aided by NLP to interpret doctors' notes. The graduates will remain in the UAE to contribute to the country's growing AI sector. Why it matters: This milestone highlights the growing AI talent pool in the UAE and the potential for AI research at MBZUAI to address critical healthcare challenges.
MBZUAI graduate Ahmed Elhagry received the Best Ph.D. Forum Paper Award at IEEE MetaCom 2023 for his work on generating virtual worlds using digital twin technology and AI through a text-to-metaverse pipeline. The research addresses the challenge of manually constructing 3D models for metaverse applications, which is time-consuming and costly. Elhagry's approach uses multimodal AI and DT technology to produce realistic virtual environments, benefiting industries like education, healthcare, and entertainment. Why it matters: This award recognizes innovative research at MBZUAI with the potential to advance metaverse development and AI-driven virtual environment creation in the region.
Muhammad Arslan Manzoor became MBZUAI's first NLP Ph.D. graduate, focusing his research on media bias under Professor Preslav Nakov. His thesis, 'MGM,' explored using audience overlap graphs to predict the factuality and bias of news media, an approach that differs from traditional textual analysis. Manzoor's work aims to improve the efficiency of media profiling in real-time by leveraging relationships captured in media graphs. Why it matters: This research offers innovative methods for identifying bias in news, which is crucial for promoting informed social discourse and combating disinformation in the region.
MBZUAI held a pre-commencement celebration for its inaugural graduation on January 30, 2023, in Abu Dhabi. The first graduating class includes 52 students from 24 countries earning master's degrees in computer vision and machine learning. MBZUAI has quickly risen to become a top 25 institution globally in AI, with faculty from top 100 AI institutions. Why it matters: This milestone highlights the rapid growth and increasing importance of AI education and research in the UAE and the broader Middle East.