Introduction

  • Undergraduate research student at Industrial AI lab, The department of Data Science,The Catholic University of Korea (Apr. 2022 ~ Present)

Research Interest

  • Representation learning
  • Contrastive learning
  • Anomaly detection

Programming Languages

Tools

Frameworks

Conferences

  • Seungyeol Ryu, Geonwoo Kim, *Jaeyeon Jang, 적응적 자기 지도 학습: 데이터 노이즈에 강건한 표면 이상 탐지 모델 개발, 대한산업공학회/한국경영과학회 춘계공동학술대회, 2023. - Oral

Patents

  • Jaeyeon Jang, Hong Joo Lee, Minsik Kim, Seung Yeol Ryu, and Ju Won Min, Method for training caregiver-patient matching model that infers matching information between caregiver and patient and matching caregiver-patient using caregiver-patient matching model, 10-2023-0055398 (application), KR, Jan. 2023.

Projects

  • (Jul 23 - Dec 23) Development of a care product recommendation system for enhancing caregiving service quality.
    • National Research Foundation of Korea (NRF) and Code Blossom (PI)
  • (Sep 22 - Jan 23) Customer-customized information system development for patients, protectors, caregivers based on big data analysis
    • National Research Foundation of Korea (NRF) and Code Blossom (PI)
  • (Oct 22 ~ Dec 22) 2022 가톨릭대학교 데이터분석 경진대회, The Catholic University of Korea
  • (Aug 22 ~ Oct 22) 2022 빅콘테스트 데이터분석분야 퓨쳐스 부문 참여, 빅콘테스트

Miscellaneous

  • TOEIC : 860