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
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent