Xiaozhen Lu
Papers
1
Total Citations
18
H-Index
1
About
Xiaozhen Lu is a prominent researcher in the fields of wireless communications, cybersecurity, and reinforcement learning, with a focus on enhancing the resilience and energy efficiency of unmanned aerial vehicle (UAV) networks. Her most-cited work, "Reinforcement learning based energy efficient robot relay for unmanned aerial vehicles against smart jamming" (2021), introduces an innovative framework that leverages reinforcement learning to optimize relay strategies in the presence of adaptive jamming attacks. This contribution addresses a critical challenge in UAV communications—balancing energy consumption with robust performance under hostile conditions—and has garnered 18 citations, reflecting its relevance to both academia and defense applications. Lu’s research integrates artificial intelligence with network security, offering practical solutions for autonomous systems operating in contested environments. Her work is recognized for bridging theoretical advances in machine learning with real-world engineering problems, making her a key figure in the development of intelligent, secure, and energy-aware communication systems.
Research Focus
Key Achievements
Top Papers
- 1