Runzhe Han

Papers

Total Citations

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About

Runzhe Han is a researcher whose work lies at the intersection of distributed control systems and network science, with a particular focus on consensus algorithms for multi-agent coordination. His most-cited paper, "Graph-balancing algorithms for average consensus over directed networks" (2015, 4 citations), addresses a fundamental challenge in directed communication networks: achieving average consensus—a critical capability for applications ranging from robot swarm coordination to distributed decision-making. Han’s key contribution is the exploration of graph-balancing conditions that enable agents in directed networks to reach agreement without requiring symmetric communication links. This work provides theoretical foundations and algorithmic strategies that simplify the design of robust, scalable coordination systems. While his citation count reflects a focused, emerging impact, Han’s research holds practical significance for fields like autonomous robotics and sensor networks, where efficient consensus directly translates to improved system performance. His contributions offer a valuable stepping stone for students and researchers seeking to understand the mathematical underpinnings of distributed control in non-ideal network topologies.