Computer Science, North Carolina State University, NC, USA, 박사 학위

Computer Science, KAIST, Daejeon, Republic of Korea, 석사 학위

Computer Science, Yonsei University, Seoul, Republic of Korea 학사 학위

Full Professor, Graduate School of Information, Yonsei University, Seoul, Korea (2024 ~ )

Adjunct Professor (겸직교수), Dept. of Artificial Intelligence, Yonsei University, Seoul, Korea (2022 ~)

Vice Dean (부원장), Graduate School of Information, Yonsei University, Seoul, Korea (2022 ~ 2024)

Head Professor (주임교수), Strategic Management of Big Data Anaytics (SMBA), Graduate School of Information, Yonsei University, Seoul, Korea (2022 ~ 2024)

Associate Professor, Graduate School of Information, Yonsei University, Seoul, Korea (2021 ~ 2024)

Assistant/Associate Professor, Dept. of Computer Science, Sangmyung University, Seoul, Korea (2012 ~ 2021)

Chair (학과장), Dept. of Computer Science, Sangmyung University, Seoul, Korea

Chair (학과장), Dept. of Midia Software, Sangmyung University, Seoul, Korea

Head Professor (주임교수), Information Security major, Sangmyung University, Seoul, Korea

Head Professor (주임교수), Smart IOT major, Sangmyung University, Seoul, Korea

Chief Research Engineer, LG Electronics Inc. (2009 ~2012)

Forecasting epidemic spread with recurrent graph gate fusion transformers, Minkyoung Kim, Jae Heon Kim, and Beakcheol Jang, IEEE Journal of Biomedical Health Informatics (JBHI), February 2025. (IF 2023: 6.7, JCR IF Top 10%)

Privacy-preserving generation and publication of synthetic trajectory microdata: A comprehensive survey, Jong Wook Kim and Beakcheol Jang, Journal of Network and Computer Applications (JNCA), October 2024. (IF 2022: 8.3, JCR IF Top 3%)

A survey on multimodal bidirectional machine learning translation of image and natural language processing, Wongyung Nam and Beakcheol Jang, Expert Systems with Applications, January 2024. (IF 2022: 8.5, JCR IF Top 10%)

Long-term influenza outbreak forecast using time-precedence correlation of web data, Beakcheol Jang, Inhwan Kim and Jong Wook Kim, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), May 2023.(IF 2021: 14.255, JCR IF Top 1%, the highest in the field of the computer science, hardware & architecture)

Survey of landmark-based indoor positioning technologies, Beakcheol Jang, Hyunjung Kim and Jong Wook Kim, Information Fusion, January 2023. (IF: 17.564, JCR IF Top 1%, the highest in the field of computer science, theory & methods)