Profile Picture

Jiyeon Kim

Ph.D. student

Department of Geography, University at Buffalo

My name is Jiyeon Kim. I am a Ph.D. student in the Department of Geography at University at Buffalo (UB). I am conducting research in the GeoAI lab under the supervision of Dr. Yingjie Hu. My research interests include GeoAI, disaster resilience, and wildfires.

Research Interests

  • Geospatial Artificial Intelligence
  • Disaster Resilience
  • Wildfire Prediction

Education

  • Ph.D. in Geography (GIS), 2023 ~
    University at Buffalo
  • M.S. in Geography (GIS), 2022
    Ewha Womans University
  • B.A. in Geograpy Education, 2019
    minor: computer science
    Ewha Womans University

Publications

  1. Kang, Y., Kim, J., Park, J., & Lee, J. (2023). Assessment of perceived and physical walkability using street view images and deep learning technology. ISPRS International Journal of Geo-Information, 12(5), 186.
  2. Kim, J., & Kang, Y. (2022). Automatic classification of photos by tourist attractions using deep learning model and image feature vector clustering. ISPRS International Journal of Geo-Information, 11(4), 245.
  3. Cho, N., Kang, Y., Yoon, J., Park, S., & Kim, J. (2022). Classifying tourists’ photos and exploring tourism destination image using a deep learning model. Journal of Quality Assurance in Hospitality & Tourism, 23(6), 1480-1508.
  4. Kang, Y., Cho, N., Yoon, J., Park, S., & Kim, J. (2021). Transfer learning of a deep learning model for exploring tourists’ urban image using geotagged photos. ISPRS International Journal of Geo-Information, 10(3), 137.
  5. Kim, J., Lee, D., Lee, J., Lee, J., & Kang, Y. (2022). Research Trend Analysis on Trajectory Data Mining: Focusing on Applications and Methods, Journal of the Korean Cartographic Association, 22(3), 37-57. (in Korean)
  6. Lee, J., Lee, J., Kim, J., Lee, D., & Kang, Y. (2022). Research Trends Analysis of Vision-based Trajectory Prediction Using Deep Learning, Journal of Korean Society for Geospatial Information Science, 30(4), 113-128. (in Korean)
  7. Kim, J., & Kang, Y. (2022). Development of a Deep Learning Model to Predict the Qualitative Evaluation of a Walking Environment based on Street View Images, Journal of Korean Society for Geospatial Information Science, 30(2), 45-56. (in Korean)
  8. Park, J., Kim, J., & Kang, Y. (2022). Development of Walkability Evaluation Index Using Streetview Image and Semantic Segmentation, Journal of the Korean Cartographic Association, 22(1), 53-68. (in Korean)
  9. Lee, J., Kang, Y., Kim, J., & Park, J. (2022). Analysis of Street View Image Object Affecting Perceived Walkability Using Machine Learning, Journal of the Association of Korean Geographers, 11(3), 375-391. (in Korean)
  10. Kang, Y., Cho, N., Park, S., & Kim, J. (2021). Exploring Tourism Activities of Tourists and Residents through Convolutional Neural Network-based SNS Photo Classification, Journal of the Korean Geographical Society, 56(3), 247-264. (in Korean)
  11. Park, S., Kim, J., Kang, Y., Cho, N., & Yoon, J. (2020). Travel Sites Recommendation Considering User’s Preferences Shown in User’s SNS Photos, Journal of Korean Society for Geospatial Information Science, 28(4), 127-136. (in Korean)

Conference Presentations

  1. Kim, J., Hu, Y. Zhou, R.Z., & Sun, K. (2024). Assessing the ability of deep learning models integrated with environmental and weather variables for predicting fire spread: A case study of the 2023 Maui wildfires, 2024 CaGIS + UCGIS Symposium.
  2. Park, J., Kang, Y., Kim, J., Lee, J., Jo, J., Lee, K., Yoo, K., Lee, C., & Nam, K. (2022). Development of Walkability Evaluation Index for Jeon-ju city Using Streetview Image and Semantic Segmentation, Proceedings of the Korean Cartographic Association. (in Korean)
  3. Kim, J., & Kang, Y. (2022). Developing deep learning model for predicting perception of the urban built environment using high-resolution street view images: A qualitative evaluation of walkability, Proceedings of the Korean Society for Geospatial Information Science. (in Korean)
  4. Park, J., Kang, Y., Kim, J., Lee, J., Jo, J., Lee, K., Yoo, K., Lee, C., & Nam, K. (2022). Walkability evaluation using high-resolution street view images and semantic segmentation techniques, Proceedings of the Korean Society for Geospatial Information Science. (in Korean)
  5. Kim, J., & Kang, Y. (2022). Automatic Classification of Photos by Tourist Attractions Using Deep Learning Model and Image Feature Vector Clustering, Proceedings of the Korean Cartographic Association. (in Korean)
  6. Kim, J., Lee, D., Lee, J., Lee, J., & Kang, Y. (2022). A review of research on trajectory data mining: Focusing on applications and methods, Proceedings of the Korean Cartographic Association. (in Korean)
  7. Lee, J., Lee, J., Kim, J., Lee, D., & Kang, Y. (2022). Research Trends Analysis of Vision-based Trajectory Prediction Using Deep Learning, Proceedings of the Korean Cartographic Association. (in Korean)
  8. Kim, J., & Kang, Y. (2021). Extraction of Representative Photos by Tourist Destination Using Deep Learning Model and Image Feature Vector Clustering, Proceedings of the Korean Society for Geospatial Information Science. (in Korean)
  9. Kang, Y., Cho, N., Park, S., & Kim, J. (2021). Classification of SNS photos and analysis of tourism photos based on Deep learning, Proceedings of the Korean Cartographic Association. (in Korean)
  10. Kim, J., Kang, Y., Cho, N., & Park, S. (2021). Classifying Tourists’ Photos and Exploring Tourism Destination Image Using a Deep Learning Model. Abstracts of the ICA, 3, 150.
  11. Cho, N., Kang, Y., Yoon, J., Park, S., & Kim, J.. (2020). Exploring Tourism Activities through Convolutional Neural Network-based SNS Photo Classification, Proceedings of the Korean Geographical Society. (in Korean)
  12. Park, S., Kim, J., Kang, Y., Cho, N., & Yoon, J. (2020). ROA Recommendation considering user’s preference shown in photo’s visual contents, Proceedings of the Korean Society for Geospatial Information Science. (in Korean)
  13. Yoon, J., Cho, N., Park, S., Kim, J., & Kang, Y. (2020). Transfer Learning of Inception-v3 for Tourism Image Classification, Proceedings of the Korean Society for Geospatial Information Science. (in Korean)

Teaching

  • (Fall 2023 ~) University at Buffalo, New York, United States
    • Teaching assistance for the class, Univariate Statistics in Geography (GEO 211) - Fall 2024
    • Teaching assistance for the class, Earth, Environment, And Climate Lab (GEO 105) - Fall 2024
    • Teaching assistance for the class, Geographic Information System (GEO 481/506) - Spring 2024
    • Teaching assistance for the class, Geographic Information System (GEO 481/506) - Fall 2023

  • (Spring 2023) EWHA Womans University, Seoul, South Korea
    • Designated as a part-time lecturer for the class, ‘Spatial statistics’ - Spring 2023

  • (Fall 2022) EWHA Womans University, Seoul, South Korea
    • Designated as a part-time lecturer for the class, ‘GIS application capstone design’ - Fall 2022

  • (January 2021 ~ January 2022) KOREA HUMAN RESOURCE DEVELOPMENT INSTITUTE
    • Designated as a part-time lecturer for the class, ‘Overview of GIS and Analysis of Spatial Data Using QGIS’

  • (October 2022) SOFTWARE ACADEMY in KOREA UNIVERSITY
    • Designated as a part-time lecturer for the class, ‘Overview of GIS and Analysis of Spatial Data Using QGIS’

  • (October 2022) KOREAN LAND and GEOSPATIAL INFORMATIX CORPORATION
    • Designated as a part-time lecturer for the class, ‘Understanding of Machine Learning and Practice with R’

Awards

Contact

jiyeonki@buffalo.edu