Members
Director
Beakcheol Jang (PhD)
Assoicate professor
Department of Computer Science, Sangmyung University
Phone: +82-02-781-7568
E-Mail: bjang@smu.ac.kr
Beakcheol Jang is an associate professor in the Department of Computer Science, Sangmyung University since 2012. He received the B.S. degree from Yonsei University, Seoul, Korea, and the M.S. degree from Korea Advanced Institute of Science and Technology, Daejeon, Korea, and the Ph.D. degree from North Carolina State University, USA, all in Computer Science. His primary research interests focus on wireless networking, Internet of Things, big data, and artificial intelligence
Research Staff
Jungwon Yoon
Research Interest: big data, text mining, bioinformatics, cloud system.
E-Mail: foggyoon@gmail.com
Gaspard Harerimana
Computer Network Lab
Department of Computer Science, Sangmyung University
Research Interest: big data, artificial intelligence, computer networks.
E-Mail: gharelim@alumni.cmu.edu
Miran Lee
Computer Network Lab
Department of Computer Science, Sangmyung University
Research Interest: Web, data privacy, Internet of Things, and computer networks.
E-Mail: smu.lmr@gmail.com
Hyunjung Kim
Computer Network Lab
Department of Computer Science, Sangmyung University
Research Interest: Indoor Localization,Web-based information systems, Interaction and interface.
E-Mail: kjyy28@gmail.com
Myeonghwi Kim
Computer Network Lab
Department of Computer Science, Sangmyung University
Research Interest: machine learning, human computer interactions, and computer networks.
E-Mail: nopkgogo3@gmail.com
Inhwan Kim
Computer Network Lab
Department of Computer Science, Sangmyung University
Research Interest: big data, artificial intelligence, data mining.
E-Mail: moreih29@gmail.com
publications
[1] Beakcheol Jang and Hyunjung Kim, Indoor Positioning Technologies Without Offline Fingerprinting Map: A Survey, accepted and to be appeared in IEEE Communications Surveys and Tutorials (SCI Q1, IF: 20.23)
[2] Jong Wook Kim, Beakcheol Jang and Hoon Yoo, Privacy-Preserving Aggregation of Personal Health Data Streams, accepted and to be appeared in PLOS ONE (SCIE Q1, IF: 2.766)
[3] In-hwan Kim and Beakcheol Jang, Effective Word Embedding for Twitter data, accepted and to be appeared in J-KICS
[4] Myeonghwi Kim, Inhwan Kim, Miran Lee and Beakcheol Jang,Worldwide emerging disease-related information extraction system from news data." Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems. ACM, 2018.11
[5] Gaspard Harerimana, Beakcheol Jang and Jong Wook Kim, and Hung Kook Park, Health big data analytics: A technology survey, IEEE ACCESS, 2018.10 (SCIE Q1, IF: 3.557)
[6] Dae-Ho Kim, Beakcheol Jang and Jong Wook Kim, Privacy-Preserving Top-k Route Computation in Indoor Environments, IEEE ACCESS, 2018.10 (SCIE Q1, IF: 3.557)
[7] Miran Lee, Jong Wook Kim and Beakcheol Jang, DOVE: An Infectious Disease Outbreak Statistics Visualization System, IEEE ACCESS, 2018.08
[8] Jungwon Yoon, Jong Wook Kim and Beakcheol Jang, DiTeX: Disease-related topic extraction system through internet-based sources, PLOS ONE, 2018.08 (SCIE Q1, IF: 2.766)
[9] Beakcheol Jang and Jungwon Yoon, Characteristics Analysis of Data from News and Social Network Services, IEEE Access, 2018.03 (SCIE Q1, IF: 3.557)
[10] Jong Wook Kim, Dae-Ho Kim and Beakcheol Jang, Application of Local Differential Privacy to Collection of Indoor Positioning Data, IEEE Access, 2018.01 (SCIE Q1, IF:3.557)
[11] Jungwon Yoon, et al. "Twitter trend analysis with Word2vec", 2018년도 한국인터넷정보학회 춘계학술발표대회 논문집 제19권1호
[12] Inhwan Kim, et al. "A Study on Effective Deep Learning Training Based on Twitter", 2018년도 한국인터넷정보학회 춘계학술발표대회 논문집 제19권1호
Fundings & Supports
