GwanPil Kim: Difference between revisions
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==Research Experience== | ==Research Experience== | ||
==Journal Publications== | ==Journal Publications== | ||
* '''Gwanpil Kim''', | * '''Gwanpil Kim''', Jason J. Jung, Yuxuan Gu, Weiwei Yuan, David Camacho, "Uncertainty management in data-driven state estimation: Taxonomy, methods, and battery applications," Information Fusion, Vol. 137, Article ID 104642, 2027.; DOI: 10.1016/j.inffus.2026.104642 | ||
* '''Gwanpil Kim''', Jason J. Jung, | * Gen Li, Longlong Yu, '''Gwanpil Kim''', Jason J. Jung, "Dynamic relational network embedding-based anomaly detection for predicting financial risks," Discover Computing, Vol. 29, 493, 2026.; DOI: 10.1007/s10791-026-10424-2 | ||
* Luong Vuong Nguyen, '''GwanPil Kim''', Jason J. Jung, "User Clustering Based on Cross-Domain Cognition for Recommendation Services," The European Journal on Artificial Intelligence (formerly, AI Communications), Vol. 39, No. 1, pp. 16-28, 2026.; DOI: 10.1177/30504554251321149 | |||
* '''Gwanpil Kim''', Jason J. Jung, Dong Kyu Kim, Min Koo, Grzegorz J. Nalepa, Slawomir Nowaczyk, "Fuzzy Particle Filtering based Approach for Battery RUL Prediction with Uncertainty Reduction Strategies," Expert Systems, Vol. 42, No. 4, e70027, 2025.; DOI: 10.1111/exsy.70027 | |||
* '''Gwanpil Kim''', Jason J. Jung, David Camacho, "Health Indicator Construction Based on Normal States Through FFT-Graph Embedding," Expert Systems, Vol. 41, No. 11, e13689, 2024.; DOI: 10.1111/exsy.13689 | |||
==Conference papers== | ==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. | * Nam S, Phan TA, '''Kim G''', Jung JJ, Bui KHN, “Where You Cite Matters: Section-Aware Embeddings for Citation Intent Classification,” Proceedings of the 2025 RIVF International Conference on Computing and Communication Technologies (RIVF), 2025, pp. 1055–1060; DOI: 10.1109/RIVF68649.2025.11365141 | ||
* '''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.; DOI: 10.1007/978-3-032-10486-1_39 | |||
==Teaching== | ==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 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. | * Teaching Assistant, Class for practicing of knowledge graph, 2023 Spring, graduate course, Department of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea. | ||
Latest revision as of 14:24, 8 October 2026
Education
- March. 2025 – Present: Computer Science and Engineering, Chung-Ang University
- Ph.D, Degree in BigData, Seoul, South Korea
- 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 Experience
Journal Publications
- Gwanpil Kim, Jason J. Jung, Yuxuan Gu, Weiwei Yuan, David Camacho, "Uncertainty management in data-driven state estimation: Taxonomy, methods, and battery applications," Information Fusion, Vol. 137, Article ID 104642, 2027.; DOI: 10.1016/j.inffus.2026.104642
- Gen Li, Longlong Yu, Gwanpil Kim, Jason J. Jung, "Dynamic relational network embedding-based anomaly detection for predicting financial risks," Discover Computing, Vol. 29, 493, 2026.; DOI: 10.1007/s10791-026-10424-2
- Luong Vuong Nguyen, GwanPil Kim, Jason J. Jung, "User Clustering Based on Cross-Domain Cognition for Recommendation Services," The European Journal on Artificial Intelligence (formerly, AI Communications), Vol. 39, No. 1, pp. 16-28, 2026.; DOI: 10.1177/30504554251321149
- Gwanpil Kim, Jason J. Jung, Dong Kyu Kim, Min Koo, Grzegorz J. Nalepa, Slawomir Nowaczyk, "Fuzzy Particle Filtering based Approach for Battery RUL Prediction with Uncertainty Reduction Strategies," Expert Systems, Vol. 42, No. 4, e70027, 2025.; DOI: 10.1111/exsy.70027
- Gwanpil Kim, Jason J. Jung, David Camacho, "Health Indicator Construction Based on Normal States Through FFT-Graph Embedding," Expert Systems, Vol. 41, No. 11, e13689, 2024.; DOI: 10.1111/exsy.13689
Conference papers
- Nam S, Phan TA, Kim G, Jung JJ, Bui KHN, “Where You Cite Matters: Section-Aware Embeddings for Citation Intent Classification,” Proceedings of the 2025 RIVF International Conference on Computing and Communication Technologies (RIVF), 2025, pp. 1055–1060; DOI: 10.1109/RIVF68649.2025.11365141
- 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.; DOI: 10.1007/978-3-032-10486-1_39
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.