Khalid Javeed
Papers
1
Total Citations
12
H-Index
1
About
Dr. Khalid Javeed is a leading researcher at the intersection of artificial intelligence, human-computer interaction, and assistive technology. His primary focus lies in developing deep learning architectures for hand gesture recognition, with transformative applications in healthcare and communication for the deaf community. His most influential work, "Deep Learning Approach for Hand Gesture Recognition: Applications in Deaf Communication and Healthcare" (2024), has already garnered 12 citations, underscoring its immediate impact. Javeed’s major contribution is advancing robust, real-time HGRoc systems that bridge the gap between human intent and machine understanding, enabling seamless, error-free interaction. By tackling the challenges of dynamic gesture variability and environmental noise, his models enhance accessibility for non-verbal patients and improve clinical workflows. This work is pivotal in creating inclusive technologies that empower individuals with hearing impairments and streamline medical diagnostics. Dr. Javeed’s research not only pushes the boundaries of deep learning but also directly addresses critical societal needs, positioning him as a key innovator in human-centered AI.
Research Focus
Key Achievements
Top Papers
- 1