“Actively seeking global Postdoctoral/Researcher positions. Let’s connect to explore how my expertise can contribute to your team.”
Hi! I’m a final year Ph.D. Candidate in Intelligent Transportation Systems at the University of Minnesota (UMN), working under the guidance of Professor Raphael Stern. My research interests include Transportation-Cyber-Physical systems (T-CPS), machine learning with transportation priors, machine learning and data science for modeling and control of traffic, sustainable urban mobility, and transportation-related safety. By leveraging data and computation, particularly deep learning, my research focuses on applying these tools to traditional transportation engineering challenges and developing an understanding of future city design. If you have any ideas or projects you’d like to collaborate on, feel free to reach out to me at email@example.com.
Before attending UMN, I earned my bachelor’s degree in Civil Engineering from Iowa State University (ISU), where I was advised by Professor Sri Sritharan and Professor Kejin Wang for my undergraduate theses. Additionally, I also hold one master’s degree from the University of Washington (UW), advised by Professor Yinhai Wang.
- Transportation-Cyber-Physical systems (T-CPS)
- Machine Learning with Transportation Priors
- Machine Learning and Data Science for Modeling and Control of Traffic
- Traffic Estimation and Modeling
- Sustainable Urban Mobility
- Urban Computing
- Transportation Safety
I have interned and conducted research at Futurewei Technologies Research Lab, the Washington State Department of Transportation, and China Railway First Group. These experiences have provided me with valuable insights into the transportation industry.
“All models are wrong, but some are useful.”
“If equal affection cannot be, Let the more loving one be me.”
“Do not disfigure the soul.”