Khaled Alshareef
Papers
1
Total Citations
45
H-Index
1
About
Khaled Alshareef is a researcher at the forefront of assistive robotics and human–computer interaction, with a primary focus on developing intelligent mobility solutions for individuals with disabilities. His most cited work, "Steering a Robotic Wheelchair Based on Voice Recognition System Using Convolutional Neural Networks" (2022, 45 citations), addresses a critical challenge in assistive technology: restoring independence to wheelchair users who rely on others for movement. Alshareef’s major contribution lies in designing and implementing a low-cost, voice-controlled smart wheelchair system that leverages convolutional neural networks for accurate, real-time speech recognition. This innovation significantly enhances user autonomy and quality of life by enabling hands-free navigation. Beyond this flagship paper, his research portfolio spans embedded systems, machine learning applications for accessibility, and human-centered robotics. Alshareef’s work is notable for its practical impact—bridging advanced AI with affordable, deployable hardware—and has been recognized for its potential to transform assistive mobility. With growing citations reflecting its relevance, his research continues to inspire new directions in inclusive engineering, making him a key voice in the movement toward smarter, more accessible assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1