Personal profile
In Korean
최재경 교수(데이터사이언스대학원/데이터사이언스학과)
Education
o (2019) B.A., Ulsan National Institute of Science and Technology, Ulsan, Korea
o (2025) Ph.D., Ulsan National Institute of Science and Technology, Ulsan, Korea
o (2025) Ph.D., Ulsan National Institute of Science and Technology, Ulsan, Korea
Professional Experience
o (2025~Present) Assistant Professor, Kyungpook National University, Daegu, Korea
o (2025) Postdoctoral Researcher, University of Maryland, USA
o (2025) Postdoctoral Researcher, University of Maryland, USA
Research Interests
Smart Manufacturing, Industrial Artificial Intelligence, Generative Model
Major Research Achievements
o Accurate synthesis of sensor-to-machined-surface image generation in carbon fiber-reinforced plastic drilling
o Multimodal 1D CNN for delamination prediction in CFRP drilling process with industrial robots
o Car crash detection using ensemble deep learning and multimodal data from dashboard cameras
o A Multimodal Deep Learning-Based Fault Detection Model for a Plastic Injection Molding Process
o Multimodal 1D CNN for delamination prediction in CFRP drilling process with industrial robots
o Car crash detection using ensemble deep learning and multimodal data from dashboard cameras
o A Multimodal Deep Learning-Based Fault Detection Model for a Plastic Injection Molding Process
url
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Collaborations and top research areas from the last five years
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Robust tool wear prediction under novel operating conditions via physics-guided unsupervised domain adaptation
Kim, G., Yang, S. M., Jeon, S., Park, S., Choi, J. G., Park, H. W. & Lim, S., Jan 2026, In: Advanced Engineering Informatics. 69, 103883.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Supervised contrastive learning for multi-source domain generalization: Tool failure prediction in data-deficient cryogenic milling processes
Choi, J. G., Kim, D. C., Kim, D. M., Kim, G., Jeon, S., Lim, S. & Park, H. W., Feb 2026, In: Applied Soft Computing. 187, 114217.Research output: Contribution to journal › Article › peer-review
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Towards efficient data-driven fault diagnosis under low-budget scenarios via hybrid deep active learning
Kim, G., Choi, J. G., Jeon, S., Park, S. & Lim, S., Feb 2026, In: Reliability Engineering and System Safety. 266, 111637.Research output: Contribution to journal › Article › peer-review
5 Scopus citations -
Artificial intelligence augmented digital twin for improving the machinability in a robotic carbon fiber reinforced plastics machining process
Kang, Y. S., Choi, J. G., Yang, S. M., Lim, S., Kim, D. C. & Park, H. W., 2025, (Accepted/In press) In: Journal of Intelligent Manufacturing.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Fisher-informed continual learning for remaining useful life prediction of machining tools under varying operating conditions
Kim, G., Kang, Y. S., Yang, S. M., Choi, J. G., Hwang, G., Park, H. W. & Lim, S., Jan 2025, In: Reliability Engineering and System Safety. 253, 110549.Research output: Contribution to journal › Article › peer-review
31 Scopus citations