Zhongliang Zhao
Papers
4
Total Citations
153
H-Index
3
About
Zhongliang Zhao is a leading researcher at the intersection of wireless communications, mobile computing, and intelligent robotics. His work addresses critical challenges in connectivity and autonomous navigation, with a strong focus on practical, real-world deployments. Zhao’s early contributions include a highly influential beaconless Opportunistic Routing protocol (67 citations) that leverages a cross-layer approach for efficient video dissemination in mobile multimedia IoT applications, a foundational work for modern IoT networks. Recognizing the centrality of location awareness, he pioneered a Particle Filter-Based Reinforcement Learning approach for reliable wireless indoor positioning (60 citations), a key enabler for 5G use cases. This work was extended into a real-time, robust indoor tracking system for smartphones (24 citations), demonstrating his commitment to deployable solutions. Most recently, Zhao has advanced multi-robot exploration with a Bayesian-Guided Evolutionary Strategy combined with RRT, a novel framework for efficient frontier detection and task allocation in unknown environments. Through these contributions, Zhao has established himself as a versatile innovator, bridging the gap between robust wireless communication, precise positioning, and intelligent multi-agent systems.
Research Focus
Key Achievements
Top Papers
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- 3A real-time robust indoor tracking system in smartphones24 citations · 2017
- 4