참여교수

김명호
참여교수
전산학부

  • 인공지능·정보서비스
  • 소셜 컴퓨팅
  • 시스템·네트워크
  • 1982: Seoul National University. B.S.
  • 1984: Seoul National University. M.S.
  • 1989: Michigan State University. Ph.D.
  • 1992 - 1993: OSIA TG-TP Chair
  • 1996 - 1998: Editor-in-Chief,Database Review,KISS SIGDB
  • 2004 - 2006: a member of the board of director,Korea Information Science Society
  • 2004 - 2006: Chair,Special Interest Group in Databases,Korea Information Science Society
  • 2006 - 2008: Editor-in-Chief,Journal of KIISE:Databases
  • 1989 - Now: Professor Dept.of Computer Science KAIST
  • 2010. 8 – 2015 2: Dean The Office of Academic Information KAIST
  • 2017. 3 – Now: Head of School of Computing KAIST
  • K.H.Lee and M.H.Kim, "Bayesian Inductive Learning in Group Recommendations for Seen and Unseen Groups", Information Sciences, Vol. 610, P.725-745, 2022, 9, https://doi.org/10.1016/j.ins.2022.08.010
  • J.H.Seo and M.H.Kim, "I/O Efficient Structural Clustering and Maintenance of Clusters for Large-scale Graphs", Expert Systems With Applications, Vol. 168, 2021, 4, https://doi.org/10.1016/j.eswa.2020.114221
  • H.J.Jeong K.H. Lee and M.H.Kim, "DGC: Dynamic Group Behavior Modeling that utilizes Context Information for Group Recommendation", Knowledge-Based Systems, Vol.213, 2021, 2, https://doi.org/10.1016/j.knosys.2020.106659
  • J.H.Seo and M.H.Kim, "Finding influential communities in networks with multiple influence types", Information Sciences, Vol. 548, P.254-274, 2021, 2, https://doi.org/10.1016/j.ins.2020.10.011
  • K.H.Lee and M.H.Kim, "Linearization of Dependency and Sampling for Participation-based Betweenness Centrality in Very Large B-hypergraphs", ACM Transactions on Knowledge Discovery from Data (ACM TKDD), Vol. 14, Issue 3, P. 1-41, 2020, 3