News   Include updates on both my public and private matters

Feb 14, 2025

I am honored to receive the PhD Dissertation Award from KAIST College of Engineering for my dissertation, "Unveiling Functional Regions through Travel Dynamics"!
I am grateful for the recognition and support, which motivates me to continue pursuing impactful research in transportation engineering.

Jan 7-11, 2024

I will be presenting my research, "Identifying Functional Characteristics of Urban Clusters through Travel Demand Analysis," which is a part of my PhD dissertation. The presentation will take place during a poster session at TRB 2024, scheduled for Monday, Jan 08, 2024, from 10:15 AM to 12:00 PM.

During this annual meeting, I aim to share my research and gather valuable insights to enhance my work. Additionally, I am hopeful to discover opportunities for a postdoctoral position.

May 31, 2024

I'm thrilled to share that I have successfully defended my doctoral dissertation, titled "Unveiling Functional Regions through Travel Dynamics (Identifying Functional Region Based on Travel Demand Patterns)". This milestone marks the culmination of years of hard work, dedication, and perseverance.

I am immensely grateful to my advisor, Dr. Kitae Jang, and my committee members, Dr. Inhi Kim, Dr. Tiantian Chen, Dr. Youngchul Kim, and Dr. Euiyoung Kim, for their invaluable guidance and support throughout this journey. I also want to extend my heartfelt thanks to my family, friends, and colleagues for their unwavering encouragement.

This achievement would not have been possible without the incredible support system I have. I am excited to continue contributing to the field of the intersection between people, city, and mobility and exploring new opportunities that lie ahead.

Thank you all for your support and encouragement!

If you want to read an abstract of my doctoral dissertation, please check here :)

Nov 1, 2024

I am fortunate to have started a new position as a postdoctoral researcher at SafeTREC, UC Berkeley from November 2024. I am excited to broaden my knowledge in traffic safety through this valuable opportunity and gain diverse experiences!

Dec 21, 2023

Together with my supervisor, Prof. Kitae Jang, we applied for a domestic (Korean) patent with the title "APPARATUS AND METHOD OF CONTROL TRAFFIC." This innovative tool is designed to generate TOD (Time-of-Day) plans for a single traffic signal. The key idea involves grouping time slices with similar traffic flow patterns, taking into consideration turning rates. To achieve this, we employ the K-Means clustering method and optimize it through iteration.

Nov 30, 2023

Successfully passed the Ph.D. dissertation proposal with the title "Identifying Place Functionality based on Travel Demand Patterns." Many thanks to my committee members: Prof. Kitae Jang, Prof. Inhi Kim, Prof. Tiantian Chen, Prof. Youngchul Kim, and Prof. Euiyoung Kim.

Jun 19 - July 14, 2023

Cho Chun Shik Graduate School of Mobility held its first summer camp on Jeju Island. It was an honor to meet experts in mobility from both academic and industrial fields. During this summer camp, I completed a draft of my research and plan to submit it to TRBAM 2024.

Jan 8-12, 2023

It was my first time participating in TRBAM. I presented the poster titled "Real-Time Operations of Autonomous Mobility-on-Demand Services with Inter- and Intra-Zonal Relocation." It was a great opportunity for me to share my research and build academic connections.

Oct 2022 ~ Jan 2023

I had the opportunity to visit the University of Virginia for about three months as a visiting scholar, funded by WISET (Women In Science, Engineering, and Technology), established by the Ministry of Science and ICT, South Korea. During this period, I will be studying the impact of urban functions on route choice behavior under the supervision of B. Brian Park.

August 2022

For a year, Prof. Jinwoo Lee and I from KAIST collaborated with Prof. Euiyoung Kim and Dr. Suzanne Hiemstra-van Mastrigt from TU Delft to investigate the variables influencing modal splits, utilizing multifaceted data across 46 cross-national cities. We conceptualized "Controllability", and used this concept for categorizing variables into environmental, socio-demographic, and planning factors. Our findings are detailed in our publication, "What cities have is how people travel: Conceptualizing a data-mining-driven modal split framework," available in the journal Cities.

I hope this great teamwork continues, allowing us to explore valuable insights for city sustainability!

Sep 2021 ~ Feb 2022

During my research internship at Kakaomobility, I had the opportunity to conduct a project focused on predicting parking demand. This experience in the industrial field significantly contributed to my growth as a data-mining researcher. Throughout the internship, I developed a parking demand prediction model capable of predicting multi-horizon and multiple parking lots. Remarkably, even with a single model, it demonstrated excellent prediction performance compared to baselines (MLP and XGBoost).

I am currently in the process of preparing this valuable research as a paper titled "Multi-horizon Predictions for Parking Availability at Multiple Lots using Temporal Fusion Transformer."

Oct 2019

The IEEE Intelligent Transportation Systems Conference (ITSC) in 2019 was held in Auckland, New Zealand. I had the honor of presenting our research titled "Regularity of vehicle trips in urban areas." The focus of our study was on defining and quantitatively measuring the regularity in people's daily trip chains (a sequence of trips in a day). We believe that the results of our study can serve as evidence to predict travel demand based on people's repeated and regular daily routines.

Feb 2019

I successfully defended my master's thesis, titled "Regularity of Vehicle Trips in Urban Areas," supervised by Prof. Kitae Jang, and completed the degree! What a wonderful graduation ceremony!