Jina Kim

About

Hello! This is Jina Kim (κΉ€μ§€λ‚˜ in Korean). I am a PhD student in the Computer Science & Engineering Department at the University of Minnesota and a member of Knowledge Computing Lab, advised by Prof. Yao-Yi Chiang.

My research interests lie in spatial artificial intelligence and multimodal learning. I mainly focus on developing techniques to automatically extract meaningful information from large-scale, multimodal spatial data. Heterogeneous spatial data includes overhead images, trajectories, and documents such as scanned images (e.g., scanned maps) or natural language documents containing valuable geographic information. I am also interested in validating technologies beyond accuracy by using social science methodologies. For more information about my research experience, please refer to my Curriculum Vitae (PDF).

I obtained my Master's degree in Interaction Science from Sungkyunkwan University under Prof. Eunil Park's supervision where I found my passion in conducting interdisciplinary research to solve real-world problems. During my Master's, I have completed the Intensive Artificial Intelligence Program offered by the Language Technologies Institute at Carnegie Mellon University. Before that I received my Bachelor's degree in Computer Engineering from Hansung University.

News

  • [Nov. 2025] At ACM SIGSPATIAL 2025, I presented StreetLens in GeoHCC and RegionContext in UrbanAI, and co-authored trajectory mining papers in GeoAnomalies and GeoGenAgent. Our team lin2kimchi won 7th place in GISCUP! I had the pleasure of serving as BPC co-chair, co-organizing networking events, and also co-organized a lab gathering for the SIGSPATIAL community.😊
  • [June 2025] I co-organized workshop "Capturing Human Perception of Neighborhoods Using Online Data with Language and Vision Models" at UCGIS 2025. Very excited to introduce researcher-configurable workflow, StreetLens!😊
  • [Apr. 2025] Our interactive map exploring local characteristics was selected for the Map Gallery at the 2025 Big Ten GIS Conference!πŸŽ‰ Check it out here.
  • [Mar. 2025] I presented our ongoing work, "Points of Interest Data Contextualization Using a Spatial Language Model for Learning Functional Roles of Regions," at the GeoAI and Deep Learning Symposium during the 2025 AAG Annual Meeting.
  • [Jan. 2025] I'm excited to be co-teaching CSCI 5523: Introduction to Data Mining, a graduate-level course, this Spring 2025!

Publications / Preprints

[2025]

[2024]

[2023]

GeoAI for the Digitization of Historical Maps
Yao-Yi Chiang, Muhao Chen, Weiwei Duan, Jina Kim, Craig A. Knoblock, Stefan Leyk, Zekun Li, Yijun Lin, Min Namgung, Basel Shbita, Johannes H. Uhl (2023).
In Handbook of Geospatial Artificial Intelligence, pp. 217-247, CRC Press.

[2022]

Integrating Deep Learning and Machine Translation for Understanding Unrefined Languages
Honggeun Ji, Soyoung Oh, Jina Kim, Seong Choi, Eunil Park. (2022).
Computers, Materials & Continua, 70(1), 669-678. (SCIE, JCR 2020 IF=3.772)

[2021]

[2020]

[2019]

* = co-corresponding author, ** = equal contribution

Fun Projects

Drone Live Video Streaming Solution using Raspberry PI
HIFLY Team Project   [Video]

We implemented a streaming system which can forward live video stream to multiple users from a Phantom4, a drone made by DJI. Also, we constructed the streaming server on Raspberry Pi 3 board for high mobility. The video stream can be played on any devices if the HTML5 standard web browser is utilized.


Education

Visiting Scholar in Language Technologies Institute, Jan. to Jul. 2020
Carnegie Mellon University
Pittsburgh, USA

M.Sc. in Interaction Science, Feb. 2021
Sungkyunkwan University
Seoul, Republic of Korea
B.S. in Computer Engineering, Feb. 2019
Hansung University
Seoul, Republic of Korea

Work Experience

Applied Scientist Intern @ Amazon, Jun. to Aug. 2024
Seattle, USA

AI Scientist Intern @ Raon Data, Mar. to Jun. 2021
Seoul, Republic of Korea

Undergraduate Intern @ Electronics and Telecommunications Research Institute (ETRI), Jun. to Aug. 2018
Daejeon, Republic of Korea