Sungwon Kim

I’m a Ph.D. student in Graduate School of Data Science at KAIST, where I am fortunate to be advised by Prof. Chanyoung Park.

I’m actively on research with my best colleagues at Data Science and Artificial Intelligence Lab.

I am primarily focused on data mining and machine learning, with a particular emphasis on solving problems using graph neural networks. My research is largely data-driven, aiming to solve challenging problems in real-world scenarios.

• Graph Neural Networks
  • Learning-based 3D Simulation
    • How can we efficiently interact with opposing surfaces while maintaining computational efficiency?
  • Federated Learning
    • What distributed knowledge truly helps improve other clients?
    • How can we generate synthetic data without compromising privacy?
    • How can we personalize local models without forgetting global knowledge?
  • Data-Efficient Deep Learning
    • How can we generalize underlying semantics with extremely limited training data?

I actively seek practical challenges from the real world, regardless of domain. Recently, I’ve been especially focused on 3D analysis and scientific problems.