Emil Kim

Graduate School of AI, Pusan National University

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Busan, South Korea

Hello! My name is Emil. I am currently a second-year M.S. candidate in the IC&ML Lab, Graduate School of AI, Pusan National University. Before starting my graduate studies, I obtained my B.S. in Computer Science and Engineering at Pusan National University.

I spend most of my time exploring biosignals, multimodal representation learning, and medical image analysis โ€” usually with too many tabs open and a GPU running somewhere.

My research interest lies in:

  • Biosignal analysis (EEG, ECG)

  • Multimodal representation learning (EEG-to-fMRI Translation)

  • Foundation models for biomedical data

  • Medical Image Analysis

Thanks for stopping by! Feel free to take a look around, browse my research journey, and if you think we could build something interesting together, donโ€™t hesitate to reach out. :)

news

Aug 08, 2026 Rough presentation skills, but still managed to win 1st place at the Three Minute Thesis (3MT) competition at PNU! ๐Ÿ†
Jun 26, 2026 MICCAI said yes! ๐ŸŽ‰ Our paper โ€œMARBLEโ€ got accepted for MICCAI 2026 in Strasbourg.
Apr 09, 2026 Presented my oral talk on CGM-EEG at ISBI 2026 in London โ€” it was fun! ๐ŸŽค

selected publications

  1. MICCAI
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    MARBLE: Lightweight EEG-to-fMRI Translation via Mamba-Attention and ROI-Conditioned Decoding
    E. Kim and J. K. Gahm
    In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Strasbourg, France, 2026
  2. IEEE Access
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    HSST-EEG: A Hybrid State-Space and Transformer Architecture for EEG Decoding
    E. Kim and J. K. Gahm
    IEEE Access, May 2026
  3. ISBI
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    CGM-EEG: Cross-Gated Mamba for Spatio-Temporal EEG Representation Learning
    Emil Kim and J. K. Gahm
    In 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), London, United Kingdom. Oral presentation , Apr 2026