Douaa Ghelis
Papers
1
Total Citations
2
H-Index
1
About
Douaa Ghelis is a rising researcher in swarm robotics and artificial intelligence, with a focus on developing bio-inspired algorithms for critical real-world applications. Her most-cited work, "A New Multi-Robots Search and Rescue Strategy based on Penguin Optimization Algorithm" (2024), introduces a novel approach to coordinating multi-robot systems in post-disaster environments, where human intervention is too dangerous. By mimicking the collective behavior of penguins, Ghelis’s strategy enhances the efficiency of exploring unknown terrains and locating victims—a foundational step in search-and-rescue missions. Though early in her career, with this paper already garnering 2 citations, her work signals a promising contribution to the intersection of nature-inspired computing and mobile robotics. Ghelis’s research addresses the pressing challenge of autonomous disaster response, offering scalable solutions that could reduce human risk in hazardous scenarios. Her innovative use of penguin optimization algorithms highlights a creative approach to multi-robot coordination, positioning her as a notable voice in the next generation of roboticists. For students and researchers, Ghelis exemplifies how emerging talent can tackle complex, life-saving problems through interdisciplinary thinking.
Research Focus
Key Achievements
Top Papers
- 1