Members

I am extremely fortunate to work with the following highly motivated students, and very grateful for their research efforts!
— Simon S. Woo
Ph.D.
Name Major Research Interests Contact
Computer Science & Engineering Adversarial Robustness, Representation Learning bmle @ g dot skku dot edu

    Eun-Ju Park
Computer Science & Engineering Deepfakes cindi01 @ g dot skku dot edu

     Juhun Lee
Artificial Intelligence Computer Vision josejhlee @ g dot skku dot edu

    SeungHoo Hong
Artificial Intelligence Multi-modal, Deepfake detection, Representation learning hoo0681 @ g dot skku dot edu

     Kangjun Lee
Computer Science & Engineering Time-Series Anomaly Detection & Forecasting gkdl677 @ g dot skku dot edu

    이현근
Applied Artificial Intelligence Anomaly Detection

     Inzamamul Alam
CSE Deepfake
Masters
Name Major Research Interests Contact

     Minha Kim
Computer Science & Engineering (소프트웨어) Time Series, Reinforcement Learning

       Mira Lee
Electrical and Computer Engineering Time series and security olmizr @ g dot skku dot edu

     Lee SangYong
Arificial Intelligence Differential privacy sang8961 @ g dot skku dot edu

      Jiwon Kim
Arificial Intelligence Computer Vision & Multi-modal jiwon.merily.kim @ gmail dot com

     Seungyeon Back
Arificial Intelligence Computer Vision syon1203 @ g dot skku dot edu

      Son GeonHo
Arificial Intelligence Multi-modal & Super Resolution sohn1029 @ g dot skku dot edu

         김현준
데이터사이언스 Top Secret AI Project

        문학준
CSE Vision

    Razaib Tariq
Computer Science & Engineering Deepfake Detection razaibtariq @ g dot skku dot edu

     Inho Jung
Computer Science & Engineering Representation Learning, XAI inhovation97 @ g dot skku dot edu

     Minsun Jeon
Computer Science & Engineering Computer Vision & Multi-modal minsun9602 @ g dot skku dot edu

     Minji Heo
Artificial Intelligence Computer Vision minji.h0224 @ g dot skku dot edu

     Yurim Jang
Artificial Intelligence Diffusion model & Dataset jyl8755 @ g dot skku dot edu

    SangJun Chung
Artificial Intelligence Computer Vision & Multi-modal hyjk826 @ g dot skku dot edu

    Hohyun Na
Intelligent Software Computer Vision & Multi-modal skghgus9 @ g dot skku dot edu

    Hyeongjun Choi
Artificial Intelligence Computer Vision junhjun @ g dot skku dot edu

    Park Chan
Artificial Intelligence Multi-modal pchan1018 @ g dot skku dot edu

    Hyeonsu Hwang
Computer Science & Engineering Anomaly Detection & Representation Learning hhs4366 @ g dot skku dot edu

    Noh Yong-cheol
Computer Science & Engineering Anomaly Detection nyc0421 @ g dot skku dot edu
Master Thesis/Capstone Project Supervision
Name Major Current Employment Topic
경윤영 Applied Data Science (데이터사이언스) Samsung Display AI팀 Anomaly Detection
변규백 ('23) Applied Data Science (데이터사이언스) Samsung Elec Self-Supervised Learning
인정현 ('23) Applied Data Science (데이터사이언스) LG에너지 솔루션 Anomaly Detection
김근수 ('22) Applied Data Science (데이터사이언스) Hyndai Kefico --> Applied Materials Model Compression
하민성 ('22) Applied Data Science (데이터사이언스) Samsung Elec Anomaly Detection
주기형 ('21) Applied Data Science (데이터사이언스) 현대자동차 연구소 강화학습
Seunghwa Song Applied Data Science (데이터사이언스) Citi Bank Optimizing NBA Basketball Point-Spread Betting Using Machine Learning Techniques
SoonYoung Kwon Applied Data Science (데이터사이언스) Tiger Team Deep Learning based Phishing Website Detection using Source Code
서수량 Applied Data Science (데이터사이언스) 서울대학교 병원 전자의무기록 임상 노트와 ClinicalBERT로 Transfer Learning을 이용한 장기재원 여부 예측
윤대영 Applied Data Science (데이터사이언스) 배달의 민족 Inverse Reinforcement Learning based Novelty Detection
박성호 Applied Data Science (데이터사이언스) 롯데 Food 머신러닝 기반 식용 작물별 생산량 예측 연구 및 변수별 생산량에 끼치는 영향력 파악 연구 진행
천세영 Applied Data Science (데이터사이언스) NC Soft 텐서 분해를 이용한 에어비앤비 추천시스템 연구
이지은 Applied Data Science (데이터사이언스) 롯대 면세점 웹로그 데이터를 활용한 개인화 추천 시스템 연구
Alumni
Name Major Current employment
Taejune Kim (MS) 2024 Anomaly Detection, Computer Vision Robotics Lab, Hyundai Motor Company
Cho Beomsang Computer Vision TBU
Kishor Kumar Bhaumik (MS) 2023 Image Manipulation Detection, Time Series CCDS, Bangladesh
Jungho Kim (MS) 2023 Knowledge distillation KAIST
Gwanghan Lee (MS) 2023 Model compression Upstage
Jinbeom Kim (MS) 2023 Object detection and Knowledge Distillation LIG 넥스원
Sangyup Lee (Ph.D.) 2023 Time-Series Anomaly Detection & Forecasting, Deepfakes Detection, Multi-media Forensics Hyundai Mobis
Keeyoung Kim (Ph.D.) 2022 Computer Vision and Anomaly Detection Ingenio AI (Start-Up)
Youjin Shin (Ph.D.) 2022 Tensor methods for Anomaly Detection and Deep learning, and Deepfakes Tenured Track Assistant Professor, Department of Data Science, The Catholic University of Korea, Seoul
Chingis Oinar (BS) 2022 Representation learning Mercari, Japan --> NYU Data Science MS (accepted)
Hanbin Lee (MS) 2022 Object Detection, Knowledge distillation Naver Z
Shahroz Tariq (Ph.D.) 2022 Time-series Anomaly Detection, Deepfake Generation & Detection Research Scientist @ Data61, CSIRO
Minha Kim (MS) 2022 Deepfakes and Continual Learning Naver 클로바
이상원 (MS) 2021 Big Data Ernest & Young --> Amazon AWS, Korea
Sowon Jeon (MS) 2021 Privacy, AI Security KPMG Korea
JoonHyung Kang (MS) 2021 AI based Satellite Ops SK C&C
Hasam Khalid (MS) 2021 Deepfakes and Speech Applications Veev.inc
Sunny Yun (윤선이) (MS) 2021 Anomaly Detection Asiana Air
Junyaup Kim (MS) 2021 Fake Image Detection, Speech Applications IBM Korea
Siho Han (MS) 2021 Time-series Anomaly Detection RTM
Youngoh Bang (MS) 2020 AI TMaxSoft
박수진 (MS) 2020 Applied Data Science (데이터사이언스) Kakao