Kisung Lee

Associate Professor

Contact

klee76@lsu.edu 
Office 3272B
Patrick F. Taylor Hall

Educational Background

Ph.D. in Computer Science, Georgia Institute of Technology, Atlanta, 2015

M.S. in Computer Science, KAIST, Daejeon, Korea, 2007

B.S. in Computer Science, KAIST, 2005

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Kisung Lee

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  • CSC 3501: Computer Organization and Design
  • CSC 4740: Big Data Technologies
  • CSC 7740: Big Data Systems and Application Development
  • Big Data Management and Analytics
  • Distributed Data-Intensive Computing
  • Bioinformatics
  • Deep Learning-Based Analytics
  • Spatial Data Management 
  • Social Network Analytics
  • Park, J. H., Lim, B. Y., Lee, K., & Kwon, H. Y. (2024). Saan 2l-grl: Two-level graph representation learning empowered with subgraph-as-a-node. IEEE Transactions on Knowledge and Data Engineering.
  • You, J., Lee, K., & Kwon, H. Y. (2024). DeepScraper: A complete and efficient tweet scraping method using authenticated multiprocessing. Data & Knowledge Engineering, 149, 102260.
  • Lam, N. S., Meyer, M., Reams, M., Yang, S., Lee, K., Zou, L., ... & Cai, H. (2023). Improving social media use for disaster resilience: challenges and strategies. International Journal of Digital Earth, 16(1), 3023-3044.
  • Park, J. H., Lee, K., & Kwon, H. Y. (2023, December). Two-Level Graph Representation Learning with Community-as-a-Node Graphs. In 2023 IEEE International Conference on Data Mining (ICDM) (pp. 1259-1264). IEEE.
  • Al-Maabreh, O., Hoque, M., Lee, Y., Lee, K., & Ghannad, P. Revealing Inherent Rules and Validation Frameworks for Evaluating BIM Data Regarding Disaster-and Resilience-Related Regulations. In Computing in Civil Engineering 2023 (pp. 1063-1071).
  • Hoque, M. U., Lee, K., Beyer, J. L., Curran, S. R., Gonser, K. S., Lam, N. S., ... & Wang, K. (2022). Analyzing tweeting patterns and public engagement on twitter during the recognition period of the covid-19 pandemic: A study of two us states. IEEE Access, 10, 72879-72894.
  • Park, G., Heo, Y. S., Lee, K., & Kwon, H. Y. (2022). A parallel and accurate method for large-scale image segmentation on a cloud environment. The Journal of Supercomputing, 78(3), 4330-4357.
  • Shin, H., Lee, K., & Kwon, H. Y. (2022). A comparative experimental study of distributed storage engines for big spatial data processing using GeoSpark. The Journal of supercomputing, 78(2), 2556-2579.
  • Kim, M. S., Lim, B. Y., Lee, K., & Kwon, H. Y. (2022). Effective Model Update for Adaptive Classification of Text Streams in a Distributed Learning Environment. Sensors, 22(23), 9298.
  • Zhou, Y., Ren, J., Dou, D., Jin, R., Zheng, J., & Lee, K. (2020, November). Robust meta network embedding against adversarial attacks. In 2020 IEEE International Conference on Data Mining (ICDM) (pp. 1448-1453). IEEE.
  • 2020: Tiger Athletic Foundation Undergraduate Teaching Award 
  • 2023-2026: Source: National Science Foundation (NSF), Title: Collaborative Research: HNDS-I: Cyberinfrastructure for Human Dynamics and Resilience Research, $1.1M in total, $500,000 for LSU.