Liqun Liu is a research fellow at the University of Leeds with eight years of experience specializing in interactive data-driven visualization, optimization algorithms, and machine learning for traffic-related systems. He combines web-based visualization expertise with a strong academic foundation—a PhD in Computer Science from Centrale Lyon and a master's in Intelligent Transportation Systems—to make complex transport data interpretable and actionable. Liqun has applied explainable AI techniques in visualization contexts, bridging algorithm design and human-centered analysis to support decision-making in transportation. Based in Liverpool, he brings hands-on research experience from both the University of Liverpool and Leeds, and a practical focus on turning traffic data into interactive tools that surface model behavior and optimization insights.
8 years of coding experience
Master's degree, Intelligent transportation systems, Master's degree, Intelligent transportation systems at Wuhan University of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Centrale Lyon
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Liqun Liu - Research Fellow at University of Leeds