Professor

Beakcheol Jang (장백철)

Associate Professor, Graduate School of Information,

Yonsei University, Seoul, Republic of Korea

Director : Artificial Intelligence, Networking and Data Science Laboratory (ANDlab)

Office : New Millennium Hall (606) 418 (새천년관 418호)

Address: Yonsei-ro 50, Seodaemun-gu, Seoul, 03722, Republic of Korea

Email : bjang@yonsei.ac.kr

Tel : 02-2123-4198



Education

  • Ph.D., Computer Science, North Carolina State University, NC, USA

Thesis: Wireless MAC Protocol Design and Analysis

Advisor: Dr. Mihail L. Sichitiu

  • M.S., Computer Science, KAIST, Daejeon, Republic of Korea

Thesis: DNS Resolution with Renewal Using Piggyback

Advisor: Dr. Kilnam Chon

  • B.S., Computer Science, Yonsei University, Seoul, Republic of Korea


Professional Bio

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

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

  • Chair, Dept. of Computer Science, Sangmyung University, Seoul, Korea (2018 ~ 2020)

  • Head Professor, Information Security major, Sangmyung University, Seoul, Korea

  • Head Professor, Smart IOT major, Sangmyung University, Seoul, Korea

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


Research Interest

  • Bigdata Analytics

  • Artificial Intelligence, Deep Learning and Neural Networks

  • Natural Language Processing

  • Information Retrieval

  • Wireless Networking


Honors and Awards

  • 2021.02 우수상, 국제저명학술논문 우수교원 (전체계열), 상명대학교

  • 2020.02 최우수상, 국제저명학술논문 우수교원 (전체계열), 상명대학교

  • 2013.10 특별상, 한국산업보안연구학회


Selected Paper

  • Jong Wook Kim, Kennedy Edemacu, Jong Seon Kim, Yon Dohn Chung, Beakcheol Jang, A Survey of Differential Privacy-based Techniques and their Applicability to Location-Based Services, accepted to Elsevier Computers & Security. (IF 2020: 4.438)

  • Beakcheol Jang, Inhwan Kim, and Jong Wook Kim, Long-term influenza outbreak forecast using time-precedence correlation of web data, accepted to IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS). (IF 2020: 10.451, JCR IF Top 2%)

  • Kennedy Edemacu, Beakcheol Jang, and Jong Wook Kim, Reliability check via weight similarity in privacy-preserving multi-party machine learning, accepted to Elsevier Information Sciences. (IF 2020: 6.759, JCR IF Top 10%)

  • Gaspard Harerimana, Jong Wook Kim, and Beakcheol Jang, A deep attention model to forecast the Length Of Stay and the in-hospital mortality right on admission from ICD codes and demographic data, Elsevier Journal of Biomedical Informatics (Elsevier JBI), June 2021. (IF 2020: 6.317, JCR IF Top 10%)

  • Kennedy Edemacu, Beakcheol Jang, and Jong Wook Kim, Collaborative ehealth privacy and security: An access control with attribute revocation based on OBDD access structure, IEEE Journal of Biomedical Health Informatics (IEEE JBHI), October 2020. (IF 2020: 5.772, JCR IF Top 10%)

  • Beakcheol Jang and Hyunjung Kim, Indoor positioning technologies without offline fingerprinting map: a survey, IEEE Communications Surveys and Tutorials (IEEE COMST), February 2019. (IF 2020: 25.249, the highest among all computer science journals)

  • Jun Bum Lim, Beakcheol Jang and Mihail L. Sichitiu, Multichannel asynchronous scheduled MAC Protocol for Wireless Sensor Networks, Elsevier Computer Communications (Elsevier COMCOM), February 2015. (IF 2020: 3.167)

  • Beakcheol Jang, Jun Bum Lim and Mihail L. Sichitiu, An asynchronous scheduled MAC protocol for wireless sensor networks, Elsevier Computer Networks (Elsevier COMNET), January 2013. (IF 2020: 4.474)

  • Beakcheol Jang and Mihail L. Sichitiu, IEEE 802.11 saturation throughput analysis in the presence of hidden terminals, IEEE/ACM Transactions on Networking (IEEE/ACM TON), April 2012. (IF 2020: 3.567)

  • Jun Bum Lim, Beakcheol Jang, Suyoung Yoon, Mihail L. Sichitiu and Alexander G Dean, RapTEX: rapid prototyping tool for embedded communication systems, ACM Transactions on Sensor Networks (ACM TOSN), August 2010. (IF 2020: 2.253)