معرفی
Dr. Ying Chen is an Assistant Professor of Instruction in the Department of Civil and Environmental Engineering at Northwestern University's McCormick School of Engineering. Her research focuses on developing data science methodologies for transportation challenges, specializing in machine learning applications for network optimization and smart city systems.
She earned her Ph.D. in Civil Engineering and M.S. in Computer Science from Northwestern University, with industry experience as a lead data scientist enhancing real-world system implementations.
Her research explores:
- Machine learning algorithms for transportation efficiency
- Driver behavior analysis in evolving mobility landscapes
- Smart city infrastructure optimization
- Social network influences on mobility choices
- Sustainable urban transport solutions
Recent publications demonstrate strong focus on machine learning applications in urban mobility, bike-sharing systems, and pandemic-related transportation behavior changes. Article themes cluster around predictive modeling, network optimization, and behavioral analysis using advanced computational techniques.
Dr. Chen directs the MOVING DATA research lab, investigating AI/ML applications for urban systems. The lab focuses on data visualization, mining, and modeling techniques to understand city functions and citizen responses to technological innovations.
