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  • KNU
  • South korea, Seoul
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Amadeus-System/README.md

Computational Physics Researcher & AI Developer

Who Am I?

  • 👋 I have a Master's degree of Applied Physics.
  • 🔭 I have worked on Benchmark Study of Graph Neural Networks related to Halide Perovskite for High-throughput Material Screening with Deep Learning.
  • 🌱 I have learned Density Functional Theory (DFT) with VASP, D-Wave Quantum Annealing and Graph Neural Network (GNN).
  • ⚡ I'm interested in Artificial Intelligence. I would like to observe the special moment when the true-intelligence is born in the universe.
  • ⚡ I'm very interested in Theoretical Physics such as Many-body Schrodinger Equation in Quantum Field Theory.
  • ⚡ I'm currently working as an AI researcher for my company, which is related to real-world anomaly detection for image, video, timeseries information.
  • ⚡ Currently-progressing personal project : Library analysis, Deep Learning & CS Study.

Hyeongseon's GitHub stats


       

Pinned

  1. 05.KNU-BigData-Artificial-Intelligence-Course 05.KNU-BigData-Artificial-Intelligence-Course Public

    Repository For My BigData and Artificial Intelligence Course in KNU

    Jupyter Notebook 5 3

  2. 13.Vehicles-Counting-AI-Hackathon 13.Vehicles-Counting-AI-Hackathon Public

    Repository For My AI Hackathon

    Jupyter Notebook 1