Amira Elkodama
Papers
1
Total Citations
15
H-Index
1
About
Amira Elkodama is a rising researcher whose work sits at the intersection of robotics, artificial intelligence, and assistive medical technology. Her primary focus is on developing intelligent, autonomous systems that enhance human mobility and independence, with a particular emphasis on control optimization and design innovation. Her most-cited paper, "A New Design Identification and Control Based on GA Optimization for An Autonomous Wheelchair" (2022, 15 citations), exemplifies her core contribution: applying genetic algorithm (GA) optimization to create a wheelchair that can navigate autonomously, dramatically improving the quality of life for users with limited mobility. This work addresses a critical societal need by integrating robust control systems with real-world usability. Though early in her career, Elkodama’s research has already garnered attention for its practical, human-centered approach to robotics. Her achievements signal a promising trajectory in assistive technology, where her designs aim to bridge the gap between advanced control theory and everyday applications. For students and researchers, her work offers a compelling model of how engineering innovation can directly serve vulnerable populations, making technology not just smarter, but more compassionate.
Research Focus
Key Achievements
Top Papers
- 1