GwanPil Kim
From Knowledge Engineering Laboratory
Education
- March 2022 –March 2024: Computer Science and Engineering, Chung-Ang University
- M.S. Degree in BigData, Seoul, South Korea
Research Interests
- Machine Learning / Deep Learning
- Graph Embedding
- Remaining Useful Life(RUL) Prediction
Research ExperienceJournal Publications
- Gwanpil Kim, et al. "Fuzzy particle filtering based approach for battery RUL prediction with uncertainty reduction strategies." Expert Systems 42.4 (2025): e70027.
- Gwanpil Kim, Jason J. Jung, and David Camacho. "Health indicator construction based on normal states through FFT‐graph embedding." Expert Systems 41.11 (2024): e13689.
Conference papers
- Gwanpil Kim, and Jason J. Jung. "VQ-GCAE: Vector-Quantized Graph Convolutional Autoencoder for Early Anomaly Detection in Multivariate Time Series." International Conference on Intelligent Data Engineering and Automated Learning. Cham: Springer Nature Switzerland, 2025.
Teaching
- Teaching Assistant, Class for practicing of Business intelligence, 2023 Fall, graduate course, Department of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea.
- Teaching Assistant, Class for practicing of knowledge graph, 2023 Spring, graduate course, Department of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea.
