I'm a graduate school student at Seoul National University. My major is fusion plasma and I worked on Gausslabs as a ML applied scientist intern. I'm interested in AI applications for fusion plasma and physics-informed machine learning. Feel free to contact me if you have an interest in my research, work, or whatever you want to know from me.

• Notion page: [Jinsu Kim, profile]
• CV: [Jinsu Kim, CV]
• Linkedin:[Linkedin : zinzinbin]

• Disruption prediction using Deep Learning
  • Disruption prediction using IVIS dataset(Video data) in KSTAR
  • Disruption prediction using 0D data in KSTAR
  • Multi-modal learning for disruption prediction
• Tokamak plasma operation control using Reinforcement Learning
  • Development of Transformer-based virtual KSTAR environment
  • Development of PINN-based Grad-Shfranov solver
  • 0D parameters / shape parameters control using RL algorithms(DDPG, SAC) under the virtual KSTAR environemnt
  • Application of Multi-agent reinforcement learning for autonomous tokamak operation control

• ML application on plasma etching process in Virtual Metrology
• Physics based plasma etching process control

• WelfareForEveryone : https://play.google.com/store/apps/details?id=com.product.welfareapp&pli=1
• github link : https://github.com/21WelfareForEveryone/WelfareForEveryOne

• K-MolOCR(proceeding) : https://zinzinbin.notion.site/Project-K-MolOCR-783608fed0d443f38d3a42882d9bbf05