Hyunju Kim

Ph.D. Student, Computational Science & Engineering, Georgia Tech

prof_pic.jpg

13th Floor, CODA Building

756 W Peachtree St NW, Atlanta, GA 30308

hkim3239@gatech.edu

I am a Ph.D. student in Computational Science & Engineering at Georgia Institute of Technology, advised by Prof. Nabil Imam.

My research interests lie in Computational Neuroscience and Graph Data Mining & Graph Algorithms.

In computational neuroscience, I apply deep learning to understand neural dynamics, brain connectivity, and functional representations, and build brain-inspired deep learning models based on neural processing principles.

In graph data mining, I design algorithms and AI models for analyzing large-scale, complex graph data.

Previously, I received my M.S. in Artificial Intelligence at KAIST, advised by Prof. Kijung Shin (Data Mining Lab), and my B.S. in Mathematics at POSTECH (summa cum laude, ranked 1st in the Department of Mathematics).

news

November, 2026 Paper on geometric constraints in the development of primate extrastriate visual cortex accepted at Nature Communications.
October, 2026 My CIKM 2026 work (HyBrain) won 1st Place Poster Award at the ML@GT Student Conference.
August, 2026 My first-authored paper got accepted at CIKM 2026.

selected publications

  1. J4
    Geometric Constraints in the Development of Primate Extrastriate Visual Cortex
    Hyunju Kim, Michael Arcaro, and Nabil Imam
    Nature Communications (Accepted), 2026
  2. C4
    HyBrain: Spatiotemporal Hyperedges for EEG Seizure Detection and Prediction
    Hyunju Kim*, SheoYon Jhin*, Noseong Park, and Nabil Imam
    In CIKM, 2026
  3. C1
    Characterization of Simplicial Complexes by Counting Simplets beyond Four Nodes
    Hyunju Kim, Jihoon Ko, Fanchen Bu, and Kijung Shin
    In WWW, 2023