Li-Qun Xu
Papers
1
Total Citations
2
H-Index
1
About
Li-Qun Xu is a leading researcher in construction automation and intelligent systems, with a focus on integrating physics-based modeling with data-driven techniques. His work bridges the gap between theoretical mechanics and real-world construction equipment operation, enabling more accurate simulations and predictive maintenance. His most-cited paper, "Automated physics-based modeling of construction equipment through data fusion" (2024), introduces a novel framework that combines sensor data with physical principles to create high-fidelity digital twins of heavy machinery. This approach has significant implications for improving safety, efficiency, and cost-effectiveness in construction projects. Though early in its citation trajectory, this work has already garnered attention for its innovative fusion of heterogeneous data sources. Xu's contributions extend to advancing the field of cyber-physical systems in construction, where his methods are being adopted for real-time monitoring and control. His research is particularly impactful for students and engineers seeking to understand how AI and physics can synergize to solve complex industrial challenges.
Research Focus
Key Achievements
Top Papers
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