Kashaf Khan
Papers
1
Total Citations
13
H-Index
1
About
Dr. Kashaf Khan is making impactful strides at the intersection of assistive technology and deep learning, with a primary focus on improving communication accessibility for the hearing impaired. Her most cited work, "Robot Assist Sign Language Recognition for Hearing Impaired Persons Using Deep Learning" (2023, 13 citations), pioneers a novel system that integrates robotic assistance with advanced neural networks to translate sign language in real time. This contribution directly addresses the critical barrier between the deaf community and hearing society, offering a practical, technology-driven solution for seamless interaction. By combining robotics with deep learning architectures, Dr. Khan’s research not only advances human-robot interaction but also demonstrates a compassionate application of AI to solve real-world social challenges. Her work stands out for its interdisciplinary approach, merging engineering precision with social impact, and has already garnered attention for its potential to empower millions. Dr. Khan’s dedication to inclusive technology marks her as a rising leader in accessible AI, with her foundational study serving as a springboard for future innovations in assistive communication systems.
Research Focus
Key Achievements
Top Papers
- 1