Fundamental Diagram for Mixed Traffic: Stochastic and Dynamic Properties
Fall 2021–Summer 2025: Research Assistant, University of Wisconsin–Madison
Duties include: Research design and conceptualization, Data analysis, Coding, Evaluation, Paper writing
Advisor: Prof. Soyoung Ahn
Fall 2020–Spring 2020: Visiting Scholar, University of Wisconsin–Madison
Duties include: Literature review, Modeling, Data acquisition
Advisor: Prof. Soyoung Ahn
Fall 2018–Spring 2021: Research Assistant, Southeast University
Duties include: Literature review, Data collection
Fall 2024: Grader for CEE 572: Transportation Operations
Duties include:
Evaluated assignments and projects;
Managed course materials and files on Canvas.
Spring 2023–Fall 2023: Grader for ISyE 645: Engineering Models for Supply Chains
Duties include:
Grade Assignments & Projects;
Upload and manage files on Canvas;
Held Office Hours.
Spring 2022–Fall 2022: Teaching Assistant for CEE 370: Transportation Engineering
Duties include:
Led two 2.5-hour Lab Sessions for students each week;
Instructed over 120 students while serving;
Held Office Hours.
Spring 2019–Fall 2019: Teaching Assistant for Advanced Mathematics
Duties include:
Instructed over 90 undergraduate students to conduct in-class coursework;
Graded homework and conducted Q&A section.
Transportation Research Part C: Emerging Technologies
IEEE Transactions on Intelligent Transportation System
Transportation Research Record (TRR)
IEEE Access
Sustainability
Transportation Research Board (TRB)
IEEE Intelligent Transportation Conference (ITSC)
Member of Institute of Transportation Engineers (ITE) UW—Madison Student Chapter
Member of American Society of Civil Engineers (ASCE)—Wisconsin Section (Southeast Branch)
Member of Women in Transportation (WTS)
Winner of Student Research Grant Competition
2024 WTS Wisconsin Helene Overly Memorial Graduate Scholarship
Outstanding Master’s Thesis Award (top 1%)
2020 National Scholarship with Highest Honor (top 1%)
Top 10 Outstanding Students in the School of Transportation and Logistics
Python
Familiarity with Python programming with expertise in parallel computing.
Understanding popular Python libraries for data analysis, visualization, and machine learning tasks.
Matlab
Familiarity with MATLAB programming language, including its syntax, built-in functions, and toolboxes.
Skilled in numerical computing.
Experience in developing algorithms and mathematical models for traffic engineering.
Linux
Familiarity with Linux command-line interface (CLI) and shell scripting (Bash).
Experience in setting up and configuring codes on a cloud platform.