Xinyi Yang, Ph.D.
Post Doc Data Analytics
Email: xinyi.yang@ndsu.edu
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Staff BioRelated Links Xinyi Yang is a postdoctoral researcher at the Upper Great Plains Transportation Institute at North Dakota State University (NDSU). Her research focuses on data analytics, machine learning, and their applications in intelligent transportation systems. She holds a Bachelor of Science in Statistics with a minor in Mathematics and a Master of Science in Civil Engineering, both from NDSU. During her master’s program, she conducted research on intelligent transportation systems, including modeling car-following behavior for autonomous vehicles. Her Ph.D. research integrates advanced methodologies such as computer vision, deep learning, and federated learning to address real-world challenges in transportation infrastructure and safety. A key aspect of her doctoral work involves developing a hybrid system that combines Fiber Bragg Grating sensors and computer vision to improve the accuracy of vehicle weight-in-motion measurements. She has applied tools such as ESRI/GIS, MATLAB, Python, and Java to manage large datasets, build predictive models, and conduct network analyses. Her interdisciplinary expertise and practical experience contribute significantly to advancing innovative transportation research. Research Interests
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