Hossein Ranjbar
- Academic associate
- Language‚ Technology and Accessibility
I completed my Master’s in Mechanical Engineering at Sharif University of Technology. During my Master’s thesis in the Social and Cognitive Robotics Lab, I focused on video-based continuous sign language recognition, with an emphasis on computer vision and natural language processing. Currently, I work as a research associate in Prof. Sarah Ebling’s group. Our primary research is dedicated to developing an AI-assisted post-editing interface. This tool is designed to empower sign language interpreters and translators to edit and refine sign language data.
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