Member
M. S. Student
Jun Seok Lee
Research Interest: Lightweight model design
Location: Daeyang AI Center 513
Conference Papers
[First Author] J. Lee and C.-J. Chun, "Residual learning-based electric motor anomaly detection," KICS Fall Conference, Nov. 2022.
[First 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, accepted for publication, 2024.
Patents
Multi-domain anomaly detection method and apparatus for apartment complex, 2023
Taekyung Kim
Research Interest: Human motion prediction, Generative AI
Location: Daeyang AI Center 513
Seha Kim
Research Interest: Audio signal processing, Anomaly detection
Location: Daeyang AI Center 513
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
Suyeon Park
Research Interest: Industrial AI, Anomaly Detection
Location: Daeyang AI Center 513
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, accepted for publication, 2024.
Patents
Multi-domain anomaly detection method and apparatus for apartment complex, 2023
Ji Ho Lee
Research Interest: Computer Vision, Meta Learning
Location: Daeyang AI Center 513
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
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
Combined B.S./M.S. Student
Donghyeok Kim
2024. 09. ~
B. S. Students
Jaeha Yoon
Research Interest: Bio AI, AI-based docking structure prediction
2024. 01. ~
Jiwoo Kim
Research Interest: Computer vision, Meta Learning
2023. 01. ~
Conference Papers
[Second 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.
Photos
2022.11. PRML Lab Workshop
2023.06. PRML Lab Workshop
Alumni
Joon Kyu Lee (B.S. Student, 2023.08.~2024.02)
Yoonseo Oh (M.S. Student, 2021.09.~2023.08, Researcher, 2023.09~2023.12)
Dahyun Jung (B. S. Student, 2023.01.~2023.08)
Kang Min Kim (B. S. Student, 2022.07.~2022.10)