Welcome to
Artificial Intelligence
Natural Language Processing &
Bigdata Analytics Laboratory (ANDlab)
Graduate School of Information,
Yonsei University, Seoul, Republic of Korea
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NOTICE: ANDlab in Yonsei University is now recruiting a couple of highly self-motivated graduate students and post-doctoral research fellows. Please contact Professor Beakcheol Jang (bjang@yonsei.ac.kr) for more information with your curriculum vitae and transcript.
연세대학교 ANDlab 연구실에서는 대학원생과 박사후 연구원을 모집하고 있습니다. 연구실 지원을 원하는 학생들은 장백철 교수님께 (bjang@yonsei.ac.kr) 성적표 이력서와 함께 연락주세요.
About ANDlab
Since March 2021, ANDlab has been dedicated to interpreting information from various real-world data sources. Our research focuses on artificial intelligence, big data analysis, natural language processing (NLP), and information extraction techniques.
Our team consists of researchers who are well-versed in the latest AI models, NLP, and data analysis methodologies. We have achieved significant research outcomes across various fields, including medicine, economics, and sociology.
We welcome researchers who are passionate about natural language processing and data analysis.
ANDlab은 2021년 3월부터 현재까지 일상에서 찾아볼 수 있는 다양한 데이터로부터 정보를 해석하고, 인공지능, 빅데이터 분석, 자연어처리, 정보 추출 등의 분석 기법을 연구하는 연구팀입니다.
최신 인공지능 모델과 자연어처리, 데이터 분석 기법에 정통한 연구원들이 의학, 경제학, 사회학 등의 다양한 분야에서 연구 성과를 내고 있습니다.
자연어처리와 데이터 분석에 관심이 많으신 연구원들을 환영합니다.
Research Interests (See More)
Bigdata Analytics and Privacy
Artificial Intelligence, Deep Learning and Neural Networks
Natural Language Processing
Information Retrieval
Computer Networks and Applications
Recent Activities and News
[Member Event] (2025/03) Ji Hong Kang(강지홍) married.
[School Event] (2025/02) 6 students (권순찬, 김재헌, 이동희, 정희도, 윤지형, 강수정) graduated.
[Conference] (2025/02) The professor and 2 students (김민경, 이요한) attended ICAIIC 2025 conference and presented a research paper, entitled COVID-19 Policies and Payment Delays: Panel Data Insights from Korea's Food Industry.
[School Event] (2025/02) ANDlab joined 2024 winter workshop (바른ICT연구소 주최, ISR/ISP Lab 참여).
[Publication] (2025/02) The paper, entitled Forecasting Epidemic Spread with Recurrent Graph Gate Fusion Transformers, was published in IEEE Journal of Biomedical Health Informatics (IF 2023: 6.7).
[Award] (2024/12) 3 students (박세연, 황성아, 허수정) awarded the excellence prize on the contest (제 4회 지역 산업·사회 혁신 프로젝트 공모전).
[Award] (2024/11) 2 students (박세연, 황성아) awarded the top prize on the contest (2024 연구데이터 분석활용 경진대회).
[Award] (2024/11) 3 students (권순찬, 박세연, 황성아) awarded the top prize on the contest (제4회 소방안전 빅데이터 활용 및 아이디어 경진대회 (분석활용 부문)).
[Publication] (2024/10) The paper, entitled Privacy-Preserving Generation and Publication of Synthetic Trajectory Microdata: A Comprehensive Survey, was published in Journal of Network and Computer Applications (IF 2022: 8.3).
[Project] (2024/09) The project "R&D 중소기업 기술개발 지원사업" (주제: 개인별 치과 관리 서비스 제공을 위한 반응형 웹사이트용 3D 구강 디지털 트윈 모델링과 AI 포트폴리오 제작 원천기술 개발) has started (~'25/8/31, 1년).
[School Event] (2024/08) Byeong Soo Kim (김병수) graduated.
[Award] (2024/07) 3 students (권순찬, 이동희, 최종현) awarded the top prize on the contest (AI 시대 산업사화문제 해결을 위한 리빙랩 프로젝트 공모전).
[Award] (2024/06) 2 students (박상학, 최종현) awarded the top prize on the contest (2024년 해운대구 빅데이터 아이디어 공모전).
[Project] (2024/06) The project "생성 AI 선도인재양성 사업" (주제: LLM 기반 응용 서비스 기술 개발을 통한 생성 AI 인재 양성) has started (~ '27/12/31, 3년 7개월).
[School Event] (2024/02) 2 students (남원경, 박희정) graduated.
[Conference] (2024/02) 2 students (김건일, 김병수) attended ICAIIC 2024 conference and presented two research papers, entitled An Approach on Improving the Recommender System: Predicting Movie Genres Based on Plot Summaries and FTT: Fourier Transform based Transformer for Brain CT Report Generation.
[Publication] (2024/01) The paper, entitled A survey on multimodal bidirectional machine learning translation of image and natural language processing, was published in Expert Systems with Applications (IF 2022: 8.5).
[Award] (2023/11) Hui Do Jung(정희도) awarded the top prize on the contest (2023년 감염병 대응 빅데이터 활용 아이디어 공모전).
[Project] (2023/09) The project "중견연구 신규과제" (주제: 감염병 특화 확산 예측 모델과 생성 AI 모델 개발을 통한 감염병 통합 정보 제공 플랫폼 구축 및 운영) has started (~'28/2/28, 4년 6개월).
[Publication] (2023/05) The paper, entitled Long-term influenza outbreak forecast using time-precedence correlation of web data, was published in IEEE Transactions on Neural Networks and Learning Systems (IF 2021: 14.255).
[Publication] (2023/01) The paper, entitled Survey of landmark-based indoor positioning technologies, was published in Information Fusion (IF 2021: 17.564).
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