Changhun Kim

Education

• M.S. in Artificial Intelligence, Friedrich-Alexander University Erlangen-Nürnberg, Germany (Sep 2022 – Mar 2025)
  • Thesis: RetNetHTR – Leveraging Retentive Networks for Efficient and Accurate Handwritten Text Recognition
  • Teaching Assistant: Advanced Deep Learning, Introduction to Machine Learning
  • Research Assistant, Medical Imaging AI Lab
• B.S. in Computer Science, University of Seoul, South Korea (Mar 2014 – Feb 2021)
  • Undergraduate Research Assistant, Environmental System Toxicology Lab
  • Two-year absence due to mandatory military service

Experience

• Research Assistant, AI Medical Imaging Lab, FAU Erlangen-Nürnberg
  • Project: Self-supervised denoising of fluorescence microscopy images
• Researcher, Urban Big Data and AI Institute, University of Seoul (Jan 2021 – Sep 2022)
  • Project: Graph Neural Networks for molecular toxicity prediction
• AI Educational Content Technical Quality Assurance , MODULABS, South Korea (May 2021 – Oct 2021)
• Research Intern, Environmental System Toxicology Lab, University of Seoul (Sep 2018 – Dec 2019)
  • Project: Machine learning for imbalanced toxicity data prediction

Type	Title	Status
Project	A Resource-Efficient AC Power Flow Prediction Framework using Physics-Informed GNNs and RL-Based Model Compression	running
MA thesis	[Thesis] Reinforcement Learning for 110 kV Distribution Grid Restoration in Blackout situation	running

No projects found.

Research Project: GridAssist – AI-based techniques for automated congestion control and fault mangement in power grids, while also buidling a robust knowledge database that integrates and harmonizes heterogeneous power grid data from multiple sources.

Research Areas: Congestion and Fault mangement in Electrical Grid, Graph Neural Networks,  Time Series Data Analysis, and Reinforcement Learning for Decision-Making in Power Systems.

No publications found.

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