Research Fellowships 2018
The emergence of machines that interact with our day-to-day environment has led to an increasing demand for automatic visual understanding of real-world scenes. Dr Armin Mustafa is a Royal Academy of Engineering Research Fellow in the Centre for Vision, Speech and Signal Processing, University of Surrey. Her work exploits artificial intelligence (AI) to better understand complex scenes so that machines can efficiently model and interpret real-world. She has pioneered advances in 4D computer vision, which combines the three-dimensional modelling of the world with motion or tracking, to enable the next generation of human-like machines.
Recently, she is also actively working on generating human-like textual descriptions of day-to-day scenes and visual question answering. Her research on advancing machine perception is valuable for a range of socially beneficial applications including entertainment, broadcast, autonomous systems, augmented reality, and healthcare.
Personal website: https://arminmustafa.github.io
Linkedin: https://www.linkedin.com/in/armin-m-8b7b886/
Twitter: https://x.com/arminmustafa?lang=en

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