Liu Shijun/ Professor

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  • -Supervisor of Doctorate Candidates
  • -Supervisor of Master's Candidates
  • -Name (English):Liu Shijun
  • -Name (Pinyin):Liu Shi Jun
  • -Date of Employment:2002-07-16
  • -School/Department:School of Software
  • -Administrative Position:Deputy Dean
  • -Education Level:With Certificate of Graduation for Doctorate Study
  • -Business Address:山东大学软件园校区数媒中心三楼
  • -Gender:Male
  • -Contact Information:
  • -Degree:Doctor
  • -Title:Professor
  • -Status:Employed
  • -Alma Mater:Shandong University
  • -Discipline:Other Majors of Software Engineering

Personal Profile

Shijun Liu is a professor of the School of Software at Shandong University, China. He obtained his BS degrees in oceanography from Ocean University of China, and MS and PhD degree in computer science from Shandong University, China. From July, 2012 to July, 2013, he worked as a visiting scholar at College of Computing, Georgia Institute of Technology, USA. 

He is a senior member of IEEEa member of China Computer Federation TC on Service Computing, TC on Cooperative Computing and CCF Task Force on Big Data (CCF TCSC, CCF TCCC and CCF TFBD), a member of IFIP WG5.8, and a member of China National Technical Committee for Automation Systems and Integration Standardization.

His current research interests center around Services Computing, Cooperative Computing and Big Data with a focus on enterprise services computing and manufacturing big data. He has published 5 books and over 200 papers in journals and conferences and obtained many academic awards including the Nation Scientific and Technological Progress Award in 2002.


Research Focus

Academic Insights

Research Results

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  • Journal Distribution
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  • Journal Quartile Distribution
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    Working Papers

    Shijun Liu is a professor of the School of Software at Shandong University, China. He obtained his BS degrees in oceanography from Ocean University of China, and MS and PhD degree in computer science from Shandong University, China. From July, 2012 to July, 2013, he worked as a visiting scholar at College of Computing, Georgia Institute of Technology, USA. He is a senior member of IEEEa member of China Computer Federation TC on Service Computing, TC on Cooperative Computing and CCF Task Force on Big Data (CCF TCSC, CCF TCCC and CCF TFBD), a member of IFIP WG5.8, and a member of China National Technical Committee for Automation Systems and Integration Standardization.

    His current research interests center around Services Computing, Cooperative Computing and Big Data with a focus on enterprise services computing and manufacturing big data. He has published 4 books and over 170 papers in journals and conferences and obtained many academic awards including the Nation Scientific and Technological Progress Award in 2002.


    Honor

    Pedagogical

    Education and Teaching

    Educational Background

    Research Results

    • 1989-09 — 1993-07
      青岛海洋大学 物理海洋 Bachelor's Degree in Science
    • 2002-09 — 2006-06
      山东大学 计算机软件 Doctor Postgraduate (Doctoral)
    • 1999-09 — 2002-07
      山东大学 计算机软件与理论 Master's Degree in Engineering
    • 2012-07 — 2013-07
      美国佐治亚理工学院
    • 2002-07 — Now
      山东大学 软件学院

    Social Affiliations

    • 2018.09——Now
      IEEE Senior Member
    • 2017.09——Now
      中国计算机学会协同计算专委委员
    • 2017.10——Now
      中国计算机学会大数据专委通讯委员
    • 2011.10——Now
      中国计算机学会服务计算专委委员
    • 2013.10——Now
      中国通信学会云计算专家委员会委员
    • 2010.10——Now
      全国自动化系统与集成标准化技术委员会委员
    • 2011.10——Now
      国际信息处理联合会企业互操作专委会(IFIP WG5.8)委员
    • 2016.09——Now
      山东计算机学会工业大数据与智能制造专委副主任
    • 2017.09——Now
      山东计算机学会理事

    Research Group

    Name of Research Group:Intelligent Service Group

    Description of Research Group:Based on the service computing, cloud computing, artificial intelligence, big data, social networks, and other technologies, the intelligent service group focus on the enterprise network relationship analysis, multi-Agent intelligent online algorithms, cloud resource parallel scheduling optimization, rapid classification of time series data, industrial big data analysis, and system development, etc. to address theoretical, technical, and application issues in intelligent manufacturing software service systems and cross-enterprise business collaboration as well as other fields. Key application 1: Relationship network analysis. Key application 2: Multi-Agent intelligent online algorithms. Key application 3: Industrial data analysis and systems.

    Teaching Achievement

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