My primary research interests center on the dynamic mechanical response and multi-scale characterization of asphalt mixtures. Discrete element modeling (DEM) and CT image reconstruction techniques are utilized to develop theoretical frameworks and technical methodologies for quantifying, evaluating, and classifying the aggregate skeleton within asphalt mixtures.
In addition, I focus on the application of machine learning methods in road engineering, leveraging data-driven models to optimize pavement performance prediction, maintenance strategies, and material selection.
My primary research interests center on the dynamic mechanical response and multi-scale characterization of asphalt mixtures. Discrete element modeling (DEM) and CT image reconstruction techniques are utilized to develop theoretical frameworks and technical methodologies for quantifying, evaluating, and classifying the aggregate skeleton within asphalt mixtures.
In addition, I focus on the application of machine learning methods in road engineering, leveraging data-driven models to optimize pavement performance prediction, maintenance strategies, and material selection.