Eissa Khaled
Papers
1
Total Citations
15
H-Index
1
About
Eissa Khaled is a researcher at the forefront of assistive robotics and intelligent control systems, with a primary focus on enhancing mobility and autonomy for individuals with disabilities. His most cited work, "A New Design Identification and Control Based on GA Optimization for An Autonomous Wheelchair" (2022, 15 citations), introduces a novel framework that integrates genetic algorithm optimization with control system design to enable autonomous navigation for wheelchair users. This contribution directly addresses the challenge of improving independence in daily life by leveraging AI and robotics in medical applications. Khaled’s research bridges the gap between theoretical control methods and practical, user-centered assistive technologies. Though early in his career, his work has already garnered attention for its potential to transform mobility aids into intelligent, adaptive systems. By combining optimization techniques with real-world design constraints, Khaled is shaping a future where autonomous wheelchairs can safely and efficiently navigate complex environments, offering a tangible improvement in quality of life for users. His ongoing efforts continue to push the boundaries of what assistive robotics can achieve.
Research Focus
Key Achievements
Top Papers
- 1