Muskan Mathur

Papers

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About

Muskan Mathur is a researcher at the intersection of assistive technology and human-computer interaction, with a primary focus on developing inclusive solutions for differently-abled individuals. Her most-cited work, "Design and Development of Writing Robot Using Speech Processing" (2020, 5 citations), addresses a critical gap in educational accessibility by creating a speech-to-text robotic writing system for disabled students who struggle with traditional scribe-dependent examination methods. This innovative approach tackles the pressing issue of rising dropout rates among students with disabilities by bridging the gap between their capabilities and standard educational practices. Mathur's research demonstrates a deep commitment to leveraging technology for social impact, particularly in inclusive education. Her work stands out for its practical application of speech processing algorithms to real-world accessibility challenges, offering a scalable solution that could transform examination environments for disabled learners. By focusing on the intersection of robotics, natural language processing, and assistive technology, Mathur contributes to a growing body of research aimed at democratizing education through technological innovation, making her a promising voice in the field of accessible design and human-centered computing.