-

홍대근 연구교수

Hong Daegeun

About Lab.

-

  • Dae-Geun Hong, Woong-Hee Han, Chang-Hee Yim, "Convolutional recurrent neural network to determine whether dropping slag dart fills the exit hole during tapping in a basic oxygen furnace", Metallurgical and Materials Transactions B, 2021, Accepted.
  • Jong-Hee Park, Han-June Kim, Jae-Jun Yoon, Hyoung-Min Kim, Chul-Gyun Park, and Dae-Geun Hong, "Development of ultrasound technology based Indoor-Location Monitoring Service System for a worker-safety in shipbuilding and offshore industry", Processes, 2021, Vol. 9, No. 2, pp.304.
  • Dae-Geun Hong, Sang-Hum Kwon, Chang-Hee Yim, "Exploration of Machine Learning to Predict Hot Ductility of Cast Steel from Chemical Composition and Thermal Conditions", Metals and Materials International, 2021, vol.27, no.2, pp. 298-305.
  • Sang-Hum Kwon, Dae-Geun Hong, Chang-Hee Yim, "Prediction of Hot-Ductility of Steels from Elemental Composition and Thermal History by Deep Neural Networks", Ironmaking and Steelmaking: Processes, Products and Applications, 2020, Vol. 47, No.10, pp.1176-1187

About Prof.

프로필

  • 2014-Present: Research Associate Professor, GIFT, POSTECH
  • 2013-2014: Senior Researcher, GEM, POSTECH
  • 2012-2013: Post-Doctoral Researcher, Division of Mechanical Engineering for Emerging Technology, POSTECH

교육

  • 2012. Ph.D., Industrial & Management Engineering, POSTECH
  • 2005. M.S., Industrial & Management Engineering, POSTECH
  • 2003. B.S., Industrial Engineering, Chungang University

주요 연구분야

  • Deep learning-based predictions of mechanical properties of steel
  • Big data-based material design and process optimization
  • LiDAR sensor-based facility 3D profiling and configuration management
  • Radiation x-ray microscope-based in-situ visualization and liquid/solid fraction analysis