Conferences – International

2024

  1. [Oral, 6/19] Yun, H., “Autonomous robotic bin picking platform learning from human demonstration and YOLOv5,” ASME 19th International Manufacturing Science and Engineering Conference (2024).
  2. [Oral, 6/18] Han, C., H. Lee, J. Lee, M. Jun, H. Yun. “Digital Twins for Autonomous CNC Equipment Operation,” ASME 19th International Manufacturing Science and Engineering Conference (2024).

2023

  1. [Oral, Invited, 9/18] Yun. H., “Virtual Reality based Human-Machine Interface for Human-AI Collaboration,” The 15th International Symposium on Measurement Technology and Intelligent Instruments (ISMTII 2023).
  2. [Oral, 7/17] Kim, E., J. Yuan, H. Yun, and M.B.G. Jun. “Sound Monitoring and Applications for Smart Manufacturing Using MTConnect Framework and Artificial Intelligence,” International symposium on precision engineering and sustainable manufacturing (PRESM).
  3. [Poster, 3/10] Kim, E., H. Yun, and M.B.G. Jun. “Real-time Machine State Monitoring using Sound and Machine Learning,” Poster session of the 9th International Conference on Manufacturing, Machine Design, and Tribology (ICMDT).

Presentations – Prior to KAIST

  1. [Oral] Yun, H., J. Park, and M.B.G. Jun. “Development of Autonomous Robotic Bin Picking System Using Convolutional Neural Network (CNN) Initially Trained by Human Skills,” Proceedings of the ASME 2022 17th International Manufacturing Science and Engineering Conference (2022): MSEC2022-84712.
  2. [Oral] Yun, H., H. Kim, and M.B.G. Jun, “Machine Health Monitoring and Visualization for Smart Manufacturing,” US-Korea Conference on Smart Science, Engineering and Health for Livable Communities, Aug. 14-17, Chicago, IL, USA (2019).

Proceedings – Prior to KAIST

  1. Yun, H., J. Park, and M.B.G. Jun. “Development of Autonomous Robotic Bin Picking System Using Convolutional Neural Network (CNN) Initially Trained by Human Skills,” Proceedings of the ASME 2022 17th International Manufacturing Science and Engineering Conference (2022): MSEC2022-84712.
  2. Fu, X., F. Zhou, M.B.G. Jun, S. Chen, E. Kim, and H. Yun. “Machine Straightness Error Measurement Based on Optical Fiber Fabry–pérot Interferometer Monitoring Technique,” Proceedings of the ASME 2022 17th International Manufacturing Science and Engineering Conference (2022): MSEC2022-85331.
  3. Jun, M.B.G, H. Yun, and E. Kim, “Human Expertise Inspired Smart Sensing and Manufacturing,” 2021 International Conference on Electronics, Communications, and Information Technology (ICECIT), 2021, pp. 1-7.
  4. Kim, E., H. Yun, and M.B.G. Jun. “Multiple sound sensors and fusion in modern CNN-based machine state prediction,” Proceedings of the ASME 2021 16th International Manufacturing Science and Engineering Conference (2021): MSEC2021-64036.
  5. Yun, H., H. Kim, E. Kim, and M.B.G. Jun. “Development of internal sound sensor using stethoscope and its applications for machine monitoring,” Procedia Manufacturing 48 (2020): 1072-1078.
  6. Lee, W, H. Wu, H. Yun, H. Kim, M.B.G. Jun, and J.W. Sutherland. “Predictive maintenance of machine tool systems using artificial intelligence techniques applied to machine condition data,” Procedia CIRP 80 (2019): 506-511.
  7. Joe, H, H. Yun, M.B.G. Jun, Y. Cho, F. Ahmed, and P.C. Lee. “Characterization of long period grating with a screw shape fabricated by a single-path scanning of femtosecond laser,” In ASME 2018 13th International Manufacturing Science and Engineering Conference, American Society of Mechanical Engineers, 2018.