Fatima Suliemn
Papers
1
Total Citations
7
H-Index
1
About
Fatima Suliemn is a rising researcher in the fields of human-computer interaction, autonomous systems, and applied computer vision. Her most notable contribution is the development of a gesture-controlled omnidirectional autonomous vehicle, which integrates a custom-trained YOLOv5s model for real-time hand gesture recognition. This work, published in 2025, demonstrates a practical, web-based approach to translating user gestures into precise control signals, bridging the gap between intuitive human input and autonomous vehicle navigation. With 7 citations in a short time, her research is gaining traction for its innovative fusion of lightweight deep learning and robotics. Suliemn’s work stands out for its focus on accessibility and real-world deployment, offering a scalable solution for assistive technologies and smart mobility. As an emerging scholar, she is poised to make further strides in gesture-based interfaces and autonomous control, with her current achievements signaling a promising trajectory in engineering and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1