TII's Secure Systems Research Center (SSRC) has announced partnerships with Khalifa University, Georgia Institute of Technology, Tampere University, and SUPSI across multiple projects. These collaborations aim to advance secure systems research, with Khalifa University focusing on machine learning for exfiltration detection and secure drone communication, Georgia Tech working on attack-resilient software for cyber-physical systems, Tampere University focusing on critical infrastructure security, and SUPSI exploring AI-based secure autonomous navigation on Nano-UAVs. Why it matters: These partnerships highlight the UAE's commitment to advancing research and development in secure systems and autonomous technologies, fostering innovation and expertise in critical areas like cybersecurity and UAV technology.
An MBZUAI team led by Thamar Solorio and Monojit Choudhury received a Google Academic Research Award to study how AI can better understand and respond to human loneliness in digital spaces. The project will examine how loneliness is expressed online, how conversational agents can detect it, and what healthier AI companionship could look like in collaboration with Georgia Tech. The team aims to define digital loneliness and its expression in online conversations with AI. Why it matters: This research addresses a growing global issue by exploring the ethical and psychological implications of AI companionship, potentially leading to safer and more beneficial AI interactions.
MBZUAI has been ranked 127th globally among institutions conducting computer science research and ranks 30th globally in AI, computer vision, machine learning, and NLP. This places MBZUAI ahead of universities such as the University of Michigan, Georgia Tech, Imperial College London and others. MBZUAI is now the top-ranked CS institution in the Arab World and the Middle East and Africa according to CSRankings. Why it matters: This ranking highlights the rapid growth and increasing prominence of AI research in the UAE and the broader Middle East.
The Autonomous Robotics Research Center (ARRC) at Abu Dhabi’s Technology Innovation Institute (TII) has appointed a board of advisors composed of globally-recognized experts in robotics and autonomous systems. The advisors include professors from Georgia Tech, ETH Zurich, University of Bologna, Vrije Universiteit Amsterdam, NYU, and Czech Technical University. The board will guide ARRC's research into robotics technologies aimed at building hybrid biological and artificial systems. Why it matters: This signals the UAE's continued investment in attracting top international expertise to advance its AI and robotics research capabilities.
Researchers from Georgia Tech explored Arabic medical text classification using 82 categories from the AbjadMed dataset. They compared fine-tuned AraBERTv2 encoders with hybrid pooling against multilingual encoders and large causal decoders like Llama 3.3 70B and Qwen 3B. The study found that bidirectional encoders outperformed causal decoders in capturing semantic boundaries for fine-grained medical text classification. Why it matters: The research provides insights into optimal model selection for specialized Arabic NLP tasks, specifically highlighting the effectiveness of fine-tuned encoders for medical text categorization.
Professor Le Song has joined MBZUAI as Deputy Department Chair of the Machine Learning Department. He brings decades of experience from institutions like Georgia Tech, Google Research, and Carnegie Mellon University. Le Song's research focuses on machine learning methods and algorithms for complex and dynamic data, with over 160 papers published in top ML conferences. Why it matters: This appointment bolsters MBZUAI's machine learning department and signals the university's commitment to attracting world-class AI talent to the UAE.
Hommood Alrowais, a KAUST alumnus from the first graduating class in 2010 with a master's in electrical engineering, is now a Ph.D. student at Georgia Tech researching bio-inspired sensors. His research focuses on a sensor based on the semicircular canal in the inner ear for sensing angular rotation. Alrowais advises current KAUST students to leverage all campus resources and opportunities. Why it matters: This highlights KAUST's role in fostering talent and contributing to advanced research in bio-inspired sensors, showcasing the university's impact on its graduates' careers.
Dr. William J. Koros, a chemical engineering chair at Georgia Tech, has been named the inaugural Champion of KAUST. He is also a Georgia Research Alliance eminent scholar in membranes. The announcement was made by King Abdullah University of Science and Technology. Why it matters: The appointment may signal future research directions or collaborations for KAUST in chemical engineering and membrane technology.