Soohwan Jeon

  • Course: Integrated MS-PhD Program
  • Research Topic: Prediction of the track and the intensity of typhoons by using generative adversarial networks with observational and meteorological data
  • Contact: soohwanjeon at postech.ac.kr
  • Member since March 2015

 

1. Publications

  • Rüttgers, M., Lee, S., Jeon, S. & You, D. “Prediction of a typhoon track using a generative adversarial network and satellite images.” Scientific reports, vol. 9, no. 1, pp. 1-15, 2019.
  • Jeon, S., Lee, S., Ha, S., Kim, S. & You, D. “Effects of a moving weir on tundish flow during sequential casting of dissimilar grades” Journal of Mechanical Science and Technology (Accepted)

 

2. Presentations

  • Jeon, S., Kim, J. & You, D. “Numerical analysis of flow-induced noise in a control valve for a stream turbine.” The 16th Asian International Conference on Fluid Machinery September 13-15, 2021, Yokohama, Japan.
  • Jeon, S., Baek, B. & You, D. “Numerical investigation of surge phenomena in a centrifugal compressor with or without a volute” The 16th Asian International Conference on Fluid Machinery September 13-15, 2021, Yokohama, Japan.
  • Jeon, S., Rüttgers, M., Lee, S. & You, D. “생성적 적대 신경망을 통한 태풍의 경로 및 세기 예측.” 11th National Congress on Fluids Engineering, Augest 12-14, 2020, Jeju, Korea.
  • Jeon, S. & You, D. “Wall-modeling for large eddy simulation of boundary layer flows using neural networks.” The 8th International Conference on Vortex Flow Mechanics, October 15-18, 2018, Xi’an, China.
  • Jeon, S. & Beak, J. “Numerical study on the effect of a volute on surge phenomena in a centrifugal compressor.” ASME Turbo Expo, June 13-16, 2016, Seoul, Korea.
  • Rüttgers, M., Lee, S., Jeon, S. & You, D. “Typhoon track prediction using a generative adversarial network (GAN).” The 10th National Congress on Fluids Engineering, August 22-24, 2018, Yeosu, Korea.
  • Lee, S., Rüttgers, M., Jeon, S. & You, D. “Deep learning prediction of unsteady flow over a cylinder using generative adversarial networks.” Spring Meeting of the Korean Society for Computational Fluids Engineering, May 2-4, 2018, Jeju, Korea.
  • Lee, S., Rüttgers, M., Jeon, S. & You, D. “Deep learning Prediction of Unsteady Flow Using Generative Adversarial Networks.” Proceedings of the KSME Fluid Engineering Division, The Korean Society of Mechanical Engineers, April 19-20, 2018, Ulsan, Korea.

 

3. Awards

 

 

4. Teaching (e.g. T.A.)

  • Fluid Mechanics (Undergraduate), Spring 2015