Biography

Sungil Kim, Ph.D., is an assistant professor in the school of management engineering at the Ulsan National Institute of Science and Technology (UNIST).  He is an expert in the following methodologies and applications.

Methodologies:

Machine learning, Data mining, Big data analysis, Demand Sensing, Demand forecasting, Pattern recognition, Predictive analytics, Real-time analytics, Spatial statistics, Design of experiments, Robust parameter design, Uncertainty quantification, Hierarchical modeling, Spatial-temporal data modeling

Applications:
Service engineering, Retailing, Consumer Packaged Goods, Logistics, Supply chain management, Nanotechnology

Academic Positions

  • 20162016

    Assistant Professor

    UNIST, School of Management Engineering

Education & Training

  • Ph.D. 2011

    Ph.D. in Industrial Engineering

    Georgia Institute of Technology

  • M.S. 2007

    M.S. in Statistics

    Georgia Institute of Technology

  • M.S. 2007

    M.S. in Industrial Engineering

    Georgia Institute of Technology

  • B.S. 2005

    B.S. in Industrial Engineering

    Yonsei University

Honors, Awards and Grants

  • 2015
    SDSers of the Quarter, Samsung SDS
  • 2010
    Honorable mentions, The Business and Economics Statistics Section at the Joint Statistical
  • 2006
    Global Logistics Scholar, The Logistics Institute
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  • 2005
    Graduate Research Scholarship, Korea Research Foundation
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