Welcome to

Artificial Intelligence &

Bigdata Analytics Laboratory (ANDlab)

Graduate School of Information

Yonsei University, Seoul, Republic of Korea


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.

We have developed infectious disease surveillance system, which is currently available online at http://coronatomorrow.co.kr. ANDlab에서 COVID19 예측 시스템을 개발했습니다. 오른쪽의 로고를 누르시거나 http://coronatomorrow.co.kr 을 확인해 주세요.

Research Interests

  • Bigdata Analytics and Privacy

  • Artificial Intelligence, Deep Learning and Neural Networks

  • Natural Language Processing

  • Information Retrieval

  • Computer Networks and Applications


Recent Research Topics

  • Bigdata Analytics with Artificial Intelligence

    1. Business Bigdata Analytics

    2. Biomedical Bigdata Analytics

    3. Web and Social Bigdata Analytics

    4. Network Bigdata Analytics

  • Natural Language Processing with Artificial Intelligence

    1. Vision Question and Answering

    2. Language Model

    3. Machine Translation

    4. Word Embedding

  • Information Retrieval with Artificial Intelligence

    1. Recommendation System

  • Time-series Forecasting-Heath and Stock Data with Artificial Intelligence

  • Data Privacy with Artificial Intelligence

  • Infectious Disease Surveillance System

  • Location Based Service and System


Recent News Summary

  • [September 2021] The paper, entitled A Survey of Differential Privacy-based Techniques and their Applicability to Location-Based Services, was accepted to Elsevier Computers & Security (IF 2020: 4.438).

  • [August 2021] The paper, entitled Long-term influenza outbreak forecast using time-precedence correlation of web data, was accepted to IEEE Transactions on Neural Networks and Learning Systems (IF 2020: 10.451).

  • [June 2021] The paper, entitled A deep attention model to forecast the Length Of Stay and the in-hospital mortality right on admission from ICD codes and demographic data, was published in Elsevier Journal of Biomedical Informatics (IF 2020: 6.317).

  • [May 2021] The paper, entitled Reliability check via weight similarity in privacy-preserving multi-party machine learning, was accepted to Elsevier Information Sciences (IF 2020: 6.759).

  • [October 2020] The paper, entitled Collaborative ehealth privacy and security: An access control with attribute revocation based on OBDD access structure, was published in IEEE Journal of Biomedical Health Informatics (IF 2020: 5.722).

  • [February 2019] The paper, entitled Indoor positioning technologies without offline fingerprinting map: a survey, was published in IEEE Communications Surveys and Tutorials (IF 2020: 25.249).