sungho@bae:~

sungho@bae:~$whoami

Portrait of Sungho Bae

Sungho Bae

M.S. Student in Data Science · Seoul National University

Seoul, Republic of Korea

I work on machine learning for complex real-world data, with current interests in agentic AI and the algorithms underlying generative models across multiple modalities.

sungho@bae:~$cat ~/education

Seoul National University

M.S. in Data Science

Advisor: Hyunwoo Park

Gwangju Institute of Science and Technology

B.S. in Computer Science · Minor in AI Convergence

Advisor: Euiseok Hwang

↳ Outstanding Undergraduate Thesis Award

Daegu Science High School

Physics and Chemistry

sungho@bae:~$cat ~/research-experience

GIST Intelligent Information System Lab · Research Internship

◇ 2023 Winter EECS Department Outstanding Bachelor Intern

  • Campus net power load prediction using renewable energy and power consumption data
  • Estimation of household characteristics using smart meter data

CJ OliveNetworks AI Research Lab · Research Internship

  • Deep learning-based modeling for palm oil price prediction
  • Cosmetic demand forecasting using time-series prediction

sungho@bae:~$ls -la ~/publications/

total 7 · Sungho Bae denotes my name · * equal contribution

  1. 01
    ICML Workshop on FAGEN (Failure Modes in Agentic AI)

    Beyond Tool Selection: Diagnosing Downstream Failures in MCP Tool-Using LLM Agents

    Sungho Bae and Hyunwoo Park

    [paper]

  2. 02
    ICML Workshop on AI for Science

    AISFlow: Boundary-Informed Flow Matching for Long-Term AIS Trajectory Imputation

    Sungho Bae, Youngseok Hwang, Geonwoo Lee, Jaeeun Seo, Dohun Lee, and Hyunwoo Park

    [paper]

  3. 03
    ACM SIGKDD ORAL PRESENTATION

    Redefining Maritime Anomaly Detection via Equation-Grounded Synthetic Anomalies

    Youngseok Hwang*, Sungho Bae*, Dohun Lee, Jaeeun Seo, Jeehong Kim, Wonhee Lee, and Hyunwoo Park

    [paper] [github]

  4. 04
    NeurIPS Workshop on AI for Science

    Spatio-Temporal Graphs Beyond Grids: Benchmark for Maritime Anomaly Detection

    Jeehong Kim, Youngseok Hwang, Minchan Kim, Sungho Bae, and Hyunwoo Park

    [paper]

  5. 05
    IEEE Access

    STGVAD: Spatio-Temporal Graph-Based Vessel Behavior Anomaly Detection

    Jeehong Kim, Minchan Kim, Youngseok Hwang, Sungho Bae, Deuk Jae Cho, Wonhee Lee, and Hyunwoo Park

    [paper]

  6. 06
    ICTC

    Socio-demographic Information Estimation via Smart Meter Data Analysis and Feature Selection

    Sungho Bae, G. Seo, and E. Hwang

    [paper]

  7. 07
    Information Systems Review

    Deep Learning-Based Short-Term Time Series Forecasting Modeling for Palm Oil Price Prediction

    Sungho Bae, Myungsun Kim, Woohyuk Jung, and Jihwan Woo

    [paper]

sungho@bae:~$cat ~/honors-and-awards

Outstanding Undergraduate Thesis Award · GIST

A Study on Efficient Feature Selection for Smart Meter Data Analysis

Grand Prize (1st) · 2024 Hello World Hackathon

Platform supporting active seniors in staying socially engaged.

Chairman Award (2nd) · INNOPOLIS Foundation AI4GOOD Hackathon

iPhone Shortcut shopping assistant for people with visual impairments.

1st Prize · CJ OliveNetworks CTO Cup Paper Competition

Time-series forecasting for palm oil prices · NeurIPS 2023 participation opportunity.

1st Prize · CJ OliveNetworks CTO Cup Kaggle Competition

Store sales forecasting · Internship opportunity at CJ OliveNetworks.

AWS Head of APJ STJ Prize (2nd) · GDSC × GIST Hackathon

Book-based community iOS app for neighbors.

sungho@bae:~$tree ~/other-experience

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Teaching Assistant

Data Engineering @ GIST

Data Visualization and Me @ Seoul National University

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SOPT · iOS Developer

Developed the KAERA iOS application with Team HARA ↗

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Republic of Korea Army

Completed compulsory military service.

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GIST HOUSE · Club President

Led events and community initiatives for dormitory residents.