معرفی
Qilin Li is a Lecturer in Computing at Curtin University, where he researches machine learning and computer vision applications for structural engineering. His work focuses on developing data-driven models for simulating physical processes in structural dynamics and health monitoring. Li integrates AI methodologies with engineering principles to improve infrastructure safety and reliability.
His research interests include machine learning algorithms for structural analysis, computer vision-based monitoring systems, graph neural networks for physical simulations, and AI applications in safety engineering. He develops techniques for predicting structural responses to extreme events like explosions.
Li's publications demonstrate innovation in combining computational mechanics with deep learning. His work on graph neural networks for blast fragmentation and transformer networks for structural segmentation advances predictive modeling for engineering applications.
