A researcher and academic focused on the intersection of machine learning, deep learning, and practical engineering applications, particularly in intelligent transportation systems, pavement crack detection, and computer vision. Holds a PhD (expected 2025) in Intelligent Transportation and Information System Engineering from Chang’an University and an MS from Northwestern Polytechnical University. Published extensively in Q1/Q2 journals, including Engineering Applications of Artificial Intelligence and IEEE Access, on topics such as neural architecture search for crack detection, multimodal residual networks, and environmental policy analysis. Experienced in algorithm development, simulation (MATLAB/Simulink), and applying deep learning to real-world infrastructure and energy challenges. Serves as an Associate Professor, actively contributing to academic conferences as a speaker and technical committee member.