Bourair Al-Attar
Papers
1
Total Citations
5
H-Index
1
About
Dr. Bourair Al-Attar is a pioneering researcher at the intersection of assistive robotics, the Internet of Things (IoT), and edge computing. His work focuses on developing intelligent, privacy-preserving systems that enhance mobility and independence for individuals with disabilities. His most cited paper, “Federated Learning-Driven IoT and Edge Cloud Networks for Smart Wheelchair Systems in Assistive Robotics” (2025), has already garnered 5 citations, reflecting its timely impact. In this work, Al-Attar integrates federated learning with edge cloud networks to create smart wheelchair systems that learn from user behavior without compromising sensitive data—a breakthrough for personalized, secure assistive technology. By combining cutting-edge IoT sensors with decentralized machine learning, his research addresses critical challenges in real-time responsiveness and data privacy. Al-Attar’s contributions are shaping the future of medical robotics, offering scalable, adaptive solutions that bridge the gap between advanced AI and practical, life-changing applications. His work stands as a testament to how federated learning can revolutionize assistive care, making technology both smarter and more humane.
Research Focus
Key Achievements
Top Papers
- 1