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Education

  • Ph.D., Wright State University, 2006
  • M.S., Ajou University, South Korea, 2001
  • B.S., Ajou University, South Korea, 1996

Teaching Interests

Professor Choi’s teaching interests include core mechanical engineering subjects at both undergraduate and graduate levels, emphasizing dynamics, control systems, and robotics. His instruction aims to integrate theoretical foundations with practical problem-solving skills. He is committed to mentoring students through hands-on learning experiences that foster analytical thinking and technical proficiency in autonomous systems and intelligent machines.

Research Interests

Professor Choi’s research centers on robotics, intelligent systems, and AI-driven manufacturing and engineering design. He integrates machine learning, digital twins, and multi-modal sensing to enhance robot perception, planning, decision-making, and fault diagnosis. These efforts aim to improve the robustness, reliability, and autonomy of intelligent machines operating in dynamic and uncertain environments, with applications in industrial automation, intelligent manufacturing systems, predictive maintenance of robotic and cyber-physical systems, and human–robot interaction.

Recent Publications

  • Lee, M., Tao, C., Shah, K., and Choi, S.K.§, “Imbalance-Aware Deep Surrogate Modeling in Structural and Thermal Response Prediction,” Journal of Computational Design and Engineering, Vol. 12(10), pp. 51–75, 2025, https://doi.org/10.1093/jcde/qwaf094.
  • Mallick, M., Shim YD, Won, HI, and Choi, S.K.§, “Ensemble-Based Model-Agnostic Meta-Learning with Operational Grouping for Intelligent Sensory Systems,” Sensors, Vol. 25 (6), 2025, paper # 1745. 
  • Hwang, S., Lee, H., and, Choi, S.K.§, “Integrating Entropy-based Data Reduction and Machine Learning in Multidisciplinary Engineering Systems for Enhanced Response Prediction,” International Journal of Precision Engineering and Manufacturing-Smart Technology, Vol 2, 2024, pp. 79-92, DOI: https://doi.org/10.57062/ijpem-st.2023.00136. 
  • Xie, T., Huang, X., and Choi, S.K.§, “Metric-based Meta-Learning for Cross-Domain Few-Shot Identification of Welding Defect,” ASME Journal of Computing and Information Science in Engineering, Jun 2023, Volume 23, 2023, paper # 030902, https://doi.org/10.1115/1.4056219. 
  • Xie., T., Huang, X., Park, H., Kim, H., and Choi, S.K. §, “A Data-Driven Adaptive Algorithm and Decision Support of Multisensory Information Fusion for Prognostics and Health Management Applications,” Journal of Engineering Design, Feb. 2023, pp. 158-179.