교수

송민석 교수

  • 박사학위포항공과대학교 (정보시스템)
  • 연구분야Process Mining, Recommendation Systems, LLM Applications
  • 연구실Analytics & Information Management (AIM) Lab.
송민석 교수님 프로필 사진

소개

학력

  • 포항공과대학교 (박사-정보시스템)
  • 포항공과대학교 (석사-정보시스템)
  • 포항공과대학교 (학사)

주요경력

  • UNIST 경영학부

전문분야

  • 경영정보시스템
  • 프로세스 마이닝
  • 산업인공지능
  • 의료데이터분석

Key Papers

  • J. Lim and ■M. Song■, “A framework for understanding event abstraction problem solving: Current states of event abstraction studies,” Data & Knowledge Engineering, vol. 154, p. 102352, 2024. doi: 10.1016/j.datak.2024.102352.
  • H. Ryu, D. Lee, J. Shin, ■ M. Song■ , S. Lee, H. Kim, and B.-I. Kim, “A web-based decision support system (DSS) for hydrogen refueling station location and supply chain optimization,” International Journal of Hydrogen Energy, vol. 48, no. 93, pp. 36223–36239, 2023. doi: 10.1016/j.ijhydene.2023.06.064.
  • J. Lim, K. Kim, ■M. Song■, S. Yoo, H. Baek, S. Kim, S. Park, and W.-J. Jeong, “Assessment of the feasibility of developing a clinical pathway using a clinical order log,” Journal of Biomedical Informatics, vol. 128, p. 104038, 2022. doi: 10.1016/j.jbi.2022.104038.
  • G. Park and ■M. Song■, “Predicting performances in business processes using deep neural networks,” Decision Support Systems, vol. 129, p. 113191, 2020. doi: 10.1016/j.dss.2019.113191.
  • M. Cho, ■M. Song, M■. Comuzzi, and S. Yoo, “Evaluating the effect of best practices for business process redesign: An evidence-based approach based on process mining techniques,” Decision Support Systems, vol. 104, pp. 92–103, 2017. doi: 10.1016/j.dss.2017.10.004.