Member

M. S. Student

Seha Kim

Research Interest: Audio signal processing, Anomaly detection

Location: Daeyang AI Center 513

Journal Papers

[First Author] S.-H. Kim, T.-G. Kim, J. Lee, H.-K. Song, H. Moon, and C.-J. Chun*, "Deep Hybrid Model for fault diagnosis of ship's main engine," Journal of Marine Science and Engineering, Jul. 2025. (JCR Q1)

Conference Papers

[First Author] S. Kim, T. Kim, and C.-J. Chun, "Mamba-based hybrid model for speech enhancement," Conference of the International Speech Communication Association (Interspeech), Aug. 2025. (정보과학회 우수학술대회 NLP분야 A등급)
[First Author] S. Kim, T. Kim, and C.-J. Chun, "Lightweight Hybrid model for Speaker Recognition," Autumn Annual Conference of KIIE, Oct. 2024.
[Second Author] T. Kim, S. Kim, and C.-J. Chun, "Main engine fault diagnostics and prognostics using exhaust gas temperature data," Autumn Annual Conference of KIIE, Oct. 2024.

Patents

Real-time bearing fault diagnosis method and apparatus based on two-phase current sensor, Nov. 2024.

Taegyeong Kim

Research Interest: Human motion prediction, Generative AI
Location: Daeyang AI Center 513

Journal Papers

[First Author] S.-H. Kim, T.-G. Kim, J. Lee, H.-K. Song, H. Moon, and C.-J. Chun*, "Deep Hybrid Model for fault diagnosis of ship's main engine," Journal of Marine Science and Engineering, Jul. 2025. (JCR Q1)

Conference Papers

[Second Author] S. Kim, T. Kim, and C.-J. Chun, "Mamba-based hybrid model for speech enhancement," Conference of the International Speech Communication Association (Interspeech), Aug. 2025. (정보과학회 우수학술대회 NLP분야 A등급)
[First Author] T. Kim, S. Kim, and C.-J. Chun, "Main engine fault diagnostics and prognostics using exhaust gas temperature data," Autumn Annual Conference of KIIE, Oct. 2024.
[Second Author] S. Kim, T. Kim, and C.-J. Chun, "Lightweight Hybrid model for Speaker Recognition," Autumn Annual Conference of KIIE, Oct. 2024.

Patents

Real-time bearing fault diagnosis method and apparatus based on two-phase current sensor, Nov. 2024.

Hyeju Yun

Research Interest: Energy AI, Anomaly Detection

Location: Daeyang AI Center 513

Conference Papers

[First Author] H. Yun, H. Gwon, and C.-J. Chun, "Machine learning-based anomaly detection for heating energy consumption based on weather data," KICS Fall Conference, Nov. 2022.
[Second Author] H. Gwon, H. Yun, and C.-J. Chun, "Machine learning-based anomaly detection for gas heat pump system," KICS Fall Conference, Nov. 2022.
[First Author] H. Yun, H. Gwon, and C.-J. Chun, "Neural network based anomaly detection for energy consumption using multi-domain data," Summer Annual Conference of IEIE, Jun. 2023.
[Second Author] H. Kwon, H. Yoon, T. Sim, S. Lee, H. Moon, and C-J. Chun, "Power consumption prediction using RNN-LSTM model," Autumn Annual Conference of IEIE, Nov. 2023.

Patents

Multi-domain anomaly detection method and apparatus for apartment complex, 2023
Real-time bearing fault diagnosis method and apparatus based on two-phase current sensor, Nov. 2024.

Suyeon Park

Research Interest: Industrial AI, Anomaly Detection

Location: Daeyang AI Center 513

Journal Papers

[Second Author] J. Lee, S. Park, S. Kim, O.-K. Choi, and C.-J Chun*, "LiteFDNet: A lightweight network for current sensor-based bearing fault diagnosis," IEEE Access, vol. 12, pp. 100493-100505, Jul. 2024.
(Submitted) [Co-Author] Deep learning-based hybrid feature extraction for bearing fault diagnosis

Conference Papers

[Second Author] Y. Oh, S. Park, H. Moon, T. Sim, S. Lee, and C.-J. Chun, "A study on machine learning method for anomaly detection in heat supply network based on big data," in Proc. Next Generation Computing, May 2022.
[First Author] S. Park, Y. Oh, S. Kim, and C.-J. Chun, "A study on the optimal sampling rate for deep learning-based spindle motor abnormal detection," in Proc. Korea Artificial Intelligence Conference, Sep. 2022.
[First Author] S. Park and C.-J. Chun, "A Spectrogram Image-based spindle motor anomaly detection using convolutional neural network," Summer Annual Conference of IEIE, Jun. 2023.
[First Author] S. Park and C.-J. Chun, "XAI-based feature selection for bearing anomaly detection," Autumn Annual Conference of IEIE, Nov. 2023.
[Second Author] J. Lee, S. Park, S. Kim, O.-K. Choi, and C.-J Chun*, "LiteFDNet: A lightweight network for current sensor-based bearing fault diagnosis," IEEE Access, vol. 12, pp. 100493-100505, 2024.

Patents

Multi-domain anomaly detection method and apparatus for apartment complex, 2023
Real-time bearing fault diagnosis method and apparatus based on two-phase current sensor, Nov. 2024.

Ji Ho Lee

Research Interest: Computer Vision, Meta Learning

Location: Daeyang AI Center 513

Journal Papers

(Submitted) [Second Author] Weighted Distance-Based Meta-Learning Model for Anomaly Detection in Assembly Process

Conference Papers

[First Author] J. H. Lee, J.-W. Kim, and C.-J. Chun, "Transfer learning-based anomaly detection for PCB part assembly," KICS Fall Conference, Nov. 2022.
[Second Author] J.-W. Kim, J. H. Lee, Y. J. Kim, S. Lee, C.-J Chun, and H.-J. Moon, "Defect detection of PCB parts using generative adversarial network," KSMTE Annual Autumn Conference, Dec. 2022.
[First Author] J. H. Lee, J. Kim, and C.-J. Chun, "Defect detection of PCB components based on transfer learning and data augmentation," Summer Annual Conference of IEIE, Jun. 2023.
[First Author] J. H. Lee, J. K. Lee, T. Sim, S. Lee, H. Moon, and C.-J. Chun, "Performance analysis according to dataset similarity for meta-learning based anomaly detection," KICS Fall Conference, Nov. 2023. (장려상 수상)

Patents

Multi-domain anomaly detection method and apparatus for apartment complex, 2023
Real-time bearing fault diagnosis method and apparatus based on two-phase current sensor, Nov. 2024.

Hyeyoung Gwon

Research Interest: Energy AI, Energy consumption forecasting

Location: Daeyang AI Center 513

Conference Papers

[First Author] H. Gwon, H. Yun, and C.-J. Chun, "Machine learning-based anomaly detection for gas heat pump system," KICS Fall Conference, Nov. 2022.
[Second Author] H. Yun, H. Gwon, and C.-J. Chun, "Machine learning-based anomaly detection for heating energy consumption based on weather data,"KICS Fall Conference, Nov. 2022.
[Second Author] H. Yun, H. Gwon, and C.-J. Chun, "Neural network based anomaly detection for energy consumption using multi-domain data," Summer Annual Conference of IEIE, Jun. 2023.
[First Author] H. Kwon, H. Yoon, T. Sim, S. Lee, H. Moon, and C-J. Chun, "Power consumption prediction using RNN-LSTM model," Autumn Annual Conference of IEIE, Nov. 2023.

Patents

Multi-domain anomaly detection method and apparatus for apartment complex, 2023
Real-time bearing fault diagnosis method and apparatus based on two-phase current sensor, Nov. 2024.