Computer vision research
Computer vision research
Computer vision researchers working at MBZUAI focus on teaching computers to interpret and understand visual information, enabling tasks like image recognition, object detection, and video analysis.
MBZUAI researchers develop visual and vision-language AI models, focusing on robotic vision, generative media, multi-sensor fusion, and trustworthy AI.
Our students, supervised by our world-class faculty, get unique hands-on experience by developing and evaluating real-world applications in augmented and virtual reality, autonomous cars, service robots, biometrics and forensics, remote sensing, and smart cities.
Our University offers Ph.D. and M.Sc. degrees in computer vision with advanced courses and outcomes.
Chair's message
The Computer Vision (CV) Department is comprised of expert faculty and researchers that have been leading their field for decades. Though MBZUAI is new, it has amassed a truly talented team of faculty, researchers, and world-class students that mark MBZUAI as a rising star in CV innovation and research. It is my great pleasure and honor to be part of such a dynamic institution, undertaking such momentous research.
Computer vision algorithms and technologies are rapidly impacting all aspects of our society from security to governance. It will be my goal to balance education with research opportunities. We will interact with industrial partners to identify problems and create solutions.
Ian Reid
Acting Director of Research Administration, Department Chair and Professor of Computer Vision
Faculty members
Sir Michael Brady
Emeritus Professor of Oncological Imaging, Department of Oncology at the University of Oxford, and Distinguished Professor of Computer Vision, MBZUAI
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Ian Reid
Acting Director of Research Administration, Department Chair and Professor of Computer Vision
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Hao Li
Dean of Undergraduate Division, Director of the Metaverse Center, and Professor of Computer Vision
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Research centers
Institute of Foundation Models (IFM)
The Institute for Agriculture and Artificial Intelligence
School of Digital Public Health
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