Computer Vision Research
Computer Vision Research
Researchers working in the field of computer vision develop algorithms which automatically analyze visual data to extract useful knowledge. MBZUAI researchers work across multiple sub-areas of computer vision, including but not limited to facial and object recognition, object detection, counting and segmentation, image and video captioning, bio-metric security, medical imaging, image colorization and enhancement, object tracking, action recognition and video understanding.
Computer vision (CV) has important applications in augmented and virtual reality, autonomous cars, service robots, bio-metrics and forensics, remote sensing and smart cities.
The University offers Ph.D. and master’s degrees in computer vision with advanced courses and outcomes.</p
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
Department Chair and Professor of Computer Vision
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Computer vision algorithms and technologies are rapidly impacting all aspects of our society from security to governance.
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The mission of the CV Department is to develop and maintain high quality graduate programs in CV and conduct research that yields tangible projects and patents that we can introduce to the market. CV will continue to be at the forefront of security, surveillance, and autonomous vehicle technologies, and we will lead that wave of innovation. You will find the faculty are eager to interact with the next generation of tech leaders and foster synergy.
Ian Reid
READ BIOFaculty Members
Sir Michael Brady
Emeritus Professor of Oncological Imaging, Department of Oncology at the University of Oxford and Distinguished Professor of Computer Vision, MBZUAI
Read Bio
Research Centers
Center for Integrative Artificial Intelligence (CIAI)
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