Jiahe Ling

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This site serves as a memento of my undergraduate experience at UW-Madison. It is no longer actively maintained, and some links and email addresses may no longer be valid. Please

About

Overview

Greetings, I am Jiahe (Stephen) Ling, a member of the 2024 class with a B.S. (Hons.) in Statistics, Computer Science, and Economics. I have a keen interest in time series and panel data analysis, particularly related to Transportation Systems and Social Computing. Beyond my academic pursuits, I enjoy watching mob films, engaging in photography, and conducting independent research on intriguing data-driven topics.

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

CV & Resume

Please contact me through email to obtain the most recent Curriculum Vitae or Resume.

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Contacts

• Phone: (608) 556-4287
• Email: jling9@wisc.edu OR sling@cs.wisc.edu
• Google Scholar: Jiahe Ling
• Website: https://pages.cs.wisc.edu/~sling/
• Linkedin: https://www.linkedin.com/in/lingjiahe/

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Courses

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Research

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. Traffic Injury Prevention (Under Review). [Pre-print: https://doi.org/10.31224/3696]
• Jackson, C. B., Jeong E., and Ling, J. (2024). Exploring Tag-Based Collaborative Knowledge Production in Open Collaboration. Computers in Human Behavior (Under Review). [Pre-print: Not Avaliable]

Seminar, Symposium, & Presentations

• Ling, J., Qian, X., & Gkritza, K. (2022). Exploration of the Characteristics of Electric Vehicle Crashes: A Case Study in Iowa [PowerPoint presentation]. 2022 Purdue Summer Undergraduate Research Fellowship (SURF) Symposium, West Lafayette, IN, United States. [Pre-print: https://doi.org/10.31224/3693]
• Ling, J., Qian, X., & Gkritza, K. (2024). Electric Vehicles vs. Internal Combustion Engine Vehicles: A Comparative Study of Non-Motorist Crash Injury Severity [Poster presentation]. Transportation Research Board 103rd Annual Meeting, Washington, D.C., United States. [Poster]

Working Papers

• Identifying the Nonlinear Relationship between Injury Severities and Use of Electric Vehicles

Research Ideas & Pre-prints

• 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

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Selected Projects

• Analysis of NHL Player Statistics (STAT 240)
• Statistical Experiment Design & Analysis (STAT/ME 424)
• Exploring Card Fraud Transaction (STAT 451)
• AdTracking Fraud Detection (STAT 479, now is STAT 405/605)
• Online Twitter Bot Detection (ECE/CS 539)
• Computer Vision for Quality Inspection of Manufacturing Product (CS 639)
• Chicago Divvy Bike Supply & Station Management (CS/ECE/ISyE 524)
• Database Management Systems (DBMS): Design and Implementation (CS 564)
• Introduction to Big Data Systems (CS 544)
• Examining the Relationship Between Socioeconomic Factors and HIV Prevalence in the United States (ECON 570)
• Unpacking the Paradox of Profit Margins: An Analysis of Market Concentration and Economic Dynamics in the U.S. Meat Processing Industry (ECON 458) [Presentation]

The projects are presented in a chronological sequence spanning from 2020 to 2023. For additional information regarding a specific project, kindly reach out to me via email.

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Course Notes

• Computer Science: Big Data System
• Economics: Money and Banking
• Coding: R for Data Science

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