Research output per year
Research output per year
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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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
1 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
20 Scopus citations -
Accurate monitoring of machining process of Ti-6Al-4V using deep multi-task learning
Park, S., Yang, S. M., Kim, G., Kim, D. M., Lee, H. H., Choi, J. G., Jeon, S., Lim, S. & Park, H. W., 2024, 2024 International Conference on Advanced Mechatronic Systems, ICAMechS 2024. IEEE Computer Society, p. 147-152 6 p. (International Conference on Advanced Mechatronic Systems, ICAMechS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Accurate synthesis of sensor-to-machined-surface image generation in carbon fiber-reinforced plastic drilling
Choi, J. G., Kim, D. C., Chung, M., Kim, G., Park, H. W. & Lim, S., 1 Dec 2024, In: Expert Systems with Applications. 255, 124656.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Developing a data-driven system for grinding process parameter optimization using machine learning and metaheuristic algorithms
Kim, G., Park, S., Choi, J. G., Yang, S. M., Park, H. W. & Lim, S., Jul 2024, In: CIRP Journal of Manufacturing Science and Technology. 51, p. 20-35 16 p.Research output: Contribution to journal › Article › peer-review
22 Scopus citations