Hebah ElGibreen
Papers
6
Total Citations
111
H-Index
4
About
Hebah ElGibreen is a leading researcher at the intersection of artificial intelligence, robotics, and assistive technology. Her work spans three transformative domains: computer vision for agriculture, multi-agent systems, and inclusive robotics for people with disabilities. Her most impactful contribution is a deep learning and computer vision framework for estimating date fruit type, maturity level, and weight (64 citations), addressing a critical agricultural need in Saudi Arabia, one of the world’s largest date producers. In multi-agent robotics, she developed a dynamic task allocation system for heterogeneous agents operating in uncertain environments (23 citations), advancing swarm intelligence and autonomous coordination. ElGibreen also pioneers socially impactful robotics, including a telepresence robot system for individuals with speech or mobility disabilities (14 citations) and a robot framework for anti-bullying in Saudi schools (6 citations). Her adaptive self-localization system for low-cost autonomous robots and epidemiology-based approach to swarm foraging with dynamic deadlines further demonstrate her versatility. Through her work, ElGibreen bridges cutting-edge AI with real-world challenges, from agriculture to social inclusion, establishing herself as a key figure in applied robotics and computer vision.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Telepresence Robot System for People with Speech or Mobility Disabilities14 citations · 2022
- 4Robot Framework for Anti-Bullying in Saudi Schools6 citations · 2020
- 5
- 6Adaptive Self-Localization System for Low-Cost Autonomous Robot2 citations · 2021