About

I am Jiahe (Stephen) Ling, a graduate of the University of Wisconsin-Madison (Class of 2024) with a B.S. (Hons.) in Statistics, Computer Science, and Economics. Currently, I am a student in M.S. in Statistics at the University of Chicago.

My academic focus lies in advanced methodologies for time series and panel data analysis, with particular emphasis on applications in Transportation Systems and Social Computing. I am deeply committed to leveraging data-driven approaches to address complex challenges and generate impactful insights.

Beyond my professional and academic pursuits, I have a strong appreciation for visual storytelling through photography and a keen interest in mob films.

Area of Interest: Operation Research, Transportation System, Supply Chain, Social Computing


Contacts


Research

Publications

  • Ling, J., Qian, X., & Gkritza, K. (2024). Electric Vehicles vs. Internal Combustion Engine Vehicles: A Comparative Study of Crash Involved Vulnerable Road Users. International Journal of Transportation Science and Technology. (In Progress)

Seminar, Symposium, & Presentations

Pre-Prints

  • Ling, J., Qian, X., & Gkritza, K. (2024). Electric Vehicles vs. Internal Combustion Engine Vehicles: A Comparative Study of Crash Involved Vulnerable Road Users. engrxiv preprint. doi: https://doi.org/10.31224/3696
  • Ling, J., Qian, X., & Gkritza, K. (2024). Comparison of Crash Characteristics Among Electric Vehicles and Internal Combustion Engine Vehicles. engrxiv preprint. doi: https://doi.org/10.31224/3693
  • Jackson, C. B., Jeong E., and Ling, J. (2024). Exploring Tag-Based Collaborative Knowledge Production in Open Collaboration.
  • Ling, J., & Jackson, C. B. (2024). Exploring Convergence in Relation using Association Rules Mining: A Case Study in Collaborative Knowledge Production. arXiv preprint arXiv:2404.15440.
  • Ling, J., & Chen, Y. (2023). Online twitter bot detection: A comparison study of vectorization and classification methods on balanced and imbalanced data. engrxiv preprint. doi: https://doi.org/10.31224/3139