Ph.D Candidate | Mechanical Engineering, Pohang University of Science and Technology

Iljeok Kim is presently pursuing a Ph.D. degree from Industrial AI Lab at Pohang University of Science and Technology (POSTECH), under the supervision of Prof. Seungchul Lee. He also serves as a Research Scientist from AI Research Center for Manufacturing Systems at Korea Institute of Industrial Technology (KITECH), under the guidance of Ph.D. Jong Pil Yun. His primary research interests span AI-enabled smart manufacturing, computational neuroscience, and system identification in industrial applications.

Achievements

Curriculum Vitae (CV)

Archive & Study

The overarching objective of my research is to pioneer ML-driven system identification to understand the dynamic behavior of a system or process. In accordance with the combining method of principle knowledge, we aim to develop mathematical models for dynamic systems: (implicit) gray-box model, (explicit) gray-box model, and black-box model. Additionally, I am also interested in research to ensure robust and reliable mathematical models for dynamic systems, including debiased networks, uncertainty quantification, and domain adaptation (generalization).

Google Scholar

ORCID

Github

Focused Areas of Research

Using data to develop mathematical models of dynamic systems

(Implicit) Gray-Box Models

(Implicit) gray-box models have been proposed to combine principle knowledge

(Explicit) Gray-Box Models

Black-Box Models

Gallery

Industrial AI Lab at Pohang University of Science and Technology (POSTECH)

AI Research Center for Manufacturing Systems (AIMS) at Korea Institute of Industrial Technology (KITECH)

AI Research Center for Manufacturing Systems (AIMS)

Ph.D. Proposals at Pohang University of Science and Technology (POSTECH)

Contact Me

Email: [email protected] / [email protected]