Tara Ali‐Yahiya
Papers
1
Total Citations
3
H-Index
1
About
Dr. Tara Ali‐Yahiya is a leading researcher at the intersection of wireless communications, networked robotics, and artificial intelligence. Her work focuses on enabling autonomous, cooperative systems, particularly through the intelligent control of multi-agent fleets like Unmanned Aerial Vehicles (UAVs). A key contribution is her pioneering application of machine learning to formation control, addressing the critical challenge of coordinating multiple UAVs to achieve mission-specific goals—such as maximizing area coverage in autonomous Search and Rescue—while maintaining high Quality of Service (QoS). Her highly cited 2023 paper, "Learning-Based Formation Control of UAV-Fleet," exemplifies this approach, laying the groundwork for more efficient and adaptive wireless networked robotics. With a growing citation impact, Dr. Ali‐Yahiya’s research is shaping the future of autonomous systems, from disaster response to advanced surveillance, by seamlessly blending wireless network optimization with intelligent, decentralized control. Her work stands as a vital reference for students and researchers exploring the next generation of collaborative, AI-driven robotic networks.
Research Focus
Key Achievements
Top Papers
- 1Learning-Based Formation Control of UAV-Fleet3 citations · 2023