Seungjun Chu
Portrait of Seungjun Chu

Korea University · Seoul

Seungjun Chu

I build models that find what doesn’t belong.

Undergraduate researcher in industrial and management engineering. On the factory side that means anomaly detection when defects are rare and labels are thin. On the city side it means locating where public infrastructure quietly fails the people it was built for. Both are the same question asked of different data.

[email protected] Curriculum vitae (PDF) Google Scholar ORCID

Currently

Korea University

SIA Lab, School of Industrial and Management Engineering

Undergraduate researcher · Nov 2025 –

Dartmouth College

LISP Lab, Thayer School of Engineering

Undergraduate researcher · Feb 2026 –

University of Seoul

Research group of Prof. Jaehoon Jeong, School of Business Administration

Undergraduate researcher · Aug 2025 –

Two lines of work

Anomaly detection for industrial inspection

Real inspection lines rarely hand you what a supervised model wants. Defects are rare, labels are coarse or absent, and the camera setup shifts between one factory and the next. I work on methods built for those conditions.

Where public systems fail people

A hospital three kilometers away is not close if reaching it takes an hour. I use spatial and digital-footprint data to measure the distance between infrastructure that exists on a map and infrastructure that works for the people beside it.

Read more about the research →

Selected work

  1. CDGP: Contrastive Dual Gaussian Processes for Weakly Supervised Anomaly Segmentation

    S. Chu*, S. Han*, M. Nowak, and P. Chin

    AAAI Conference on Artificial Intelligence (AAAI 2027)

    Under reviewCo-first author

  2. SPARC: Subspace Position-Aware Robust Few-Shot Calibration for Distribution-Shifted Industrial Anomaly Detection

    S. Han*, S. Chu*, M. Nowak, and P. Chin

    AAAI Conference on Artificial Intelligence (AAAI 2027)

    Under reviewCo-first author

  3. Healthcare accessibility modeling

    S. Chu, J. Park, and J. Jeong

    Health & Place

    Under reviewFirst author

  4. Analysis of Determinants of 5 Major Crimes in Seoul using Spatial Big Data

    S. Chu and K. Kim

    Journal of the Korea Institute of Information & Communication Engineering, 28(4), 369–378, 2024

    Published doi:10.6109/jkiice.2024.28.4.369

All publications →

Elsewhere

Mentoring young researchers

Invited mentor at APIGA 2026 (ICANN & KISA), the Youth Scientific Expedition, and the Roundsquare Prize Youth Food-Tech Competition — where I was one of three mentors alongside a university faculty member and a KISTI senior researcher.

Speaking

Invited speaker at the 2025 Science & Technology Talent Networking Party hosted by the Ministry of Science and ICT, and earlier at the Busan Education Expo.

Organizing

Academic team of the organizing committee for the 2026 SNU–KU–Yonsei Industrial Engineering Academic Exchange, where I designed the evaluation metrics for the joint competition.

Full CV →

Erdős number

4