People

Lee Junho 

•  Ph.D. in Cognitive Science (2025)

• Home Page: Profile Page

• Research Interest: Emotional Structure, Sentiment analysis, Opinion mining

Seo Dajung 

• Master of Arts in Quantitative Psychology (2024)

Kang Dowon 

• Master of Arts in Quantitative Psychology (2022)

  • 빅데이터 분석을 이용한 한국어 고정관념 구조화
    (Structuring Stereotypes in Korean Language Using Big Data Analysis)

• Currently in Samsung

Jeon Duyoung 

• Master of Arts in Quantitative Psychology (2022)

  • Construction and Evaluation of Korean Online Comment Emotions Dataset KOTE
    (한국어 댓글 정서 데이터셋 KOTE의 구축과 평가)

• Currently in LG AI Research

Son Youngshin

• Master of Arts in Quantitative Psychology (2020)

  • 인공지능 알고리즘 기반 의사결정의 공정성 지각
    (Human perception of fairness on algorithmic decision making)

• Currently in NEXON Intelligence Labs

On Sangjae

• Master of Arts in Quantitative Psychology (2020)

  • 상황요인을 반영한 성격검사도구 개발: 외향성을 중심으로
    (Development of personality test reflecting situation factor : Focusing on extroversion)

• Currently in Hanwha

Yoon Boram

• Master of Arts in Quantitative Psychology (2020)

  • 인사 자료 분석에서 이직 분류를 위한 기계 학습의 활용
    (HR Analytics applying Machine Learning for Retention Classification)

You Jaemyung

•  Ph.D. in Cognitive Science (2019)

  • 사건 그래프, 인공신경망과 강화 학습을 이용한 이야기 생성
    (Story Generation using Event Graphs, Artificial Neural Networks and Reinforcement Learning)

• Currently in QuantLab

Bae Hongju

• Master of Science in Cognitive Science (2019)

  • Relationship Between Integrated Information and Network Property of Functional Connectome
    (기능적 커넥톰의 통합 정보와 네트워크 특성 간의 관련성 연구)

• Currently in University of California, Irvine, Ph.D course

Song Yi-Gu

• Master of Science in Engineering (Cognitive Science)  (2018)

  • Comparative Analysis on Encoding Methods for Convolutional Neural Network in Korean Text Classification
    (한국어 문장 분류에서 컨볼루션 신경망의 인코딩 방법에 따른 비교분석)

• Currently in 

Oh Jinsuk

• Master of Arts in Cognitive Science  (2017)

  • (A) nonlinear mixed model analysis of variability in motor learning of patients with Parkinson's disease
    (비선형 혼합모형을 활용한 파킨슨병 환자의 운동학습 내 가변성 관찰 연구)

• Currently in University of Minnesota, Ph.D candidate

Suh Yirey

• Master of Arts in Cognitive Science  (2017)

  • A Comparison of Oversampling Effects on Imbalanced Topic Classification of Korean Texts
    (한국어 주제 분류에서 오버 샘플링 효과 비교)

• Currently in 

Kang Inhan

• Master of Arts in Quantitative Psychology (2016)

  • Regularizing Structural Equation Models via the Lasso : generalizability and reproducibility issues

• Currently in Department of Psychology, Yonsei University, Associate Professor

Lee Woojong

• Master of Arts  in Cognitive Science (2016)

  • Event-related potential analysis using elastic net logistic regression

• Currently in OSU, Ph.D candidate

Kim Hyowon

• Master of Arts in Quantitative Psychology (2016)

  • 요인혼합모형을 이용한 사회적 바람직성의 하위요인 분석

• Currently in SK E&C

Kim Hyunjung

• Master of Science in Engineering (Cognitive Science) (2015)

  • 마코프랜덤필드를 이용한 설문지에서의 비정상 반응 패턴 탐지

• Currently in SKT

Mo Jonghoon

• Master of Arts in Quantitative Psychology (2015)

  • 변수 선택 기법을 이용한 감정 단어 사전의 영역 특수성 확장

• Currently in Naver

Suk Hyewon

• Master of Arts in Quantitative Psychology (2005)

  • Comparison of the multivariate analysis techniques for fMRI data analysis: focusing on principal component analysis, independent component analysis, and factor analysis

• Currently in Department of Psychology, Sogang University, Associate Professor

Lee Taehun

• Master of Arts in Quantitative Psychology (2003)

  • Latent semantic analysis with axes rotation and its application to topic based text categorization and contextual disambiguation of a word
    (ELSA를 이용한 주제별 문서분류 및 다의어 의미 해소)

• Currently in Department of Psychology, Korea University, Professor