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Sungil Kim

Associate Professor

Department of Industrial Engineering, UNIST

Welcome to the Data Analytics Lab at the Ulsan National Institute of Science and Technology (UNIST). Our research focuses on development of novel statistical methods for solving complex engineering problems. Our team pursues leading-edge research in the field of data science and business analytics with industry, government, and community partners. Our research can be characterized by three aspects: i) statistics as a research methodology, ii) motivation from real data, and iii) applications to industry.

The Principal Investigator, Sungil Kim, Ph.D., is an associate professor in the Department of Industrial Engineering. His research interests include industrial statistics and data analytics, quality engineering and management, and machine learning and data mining. He has served in a number of leadership positions at UNIST, domestically, and internationally. For more details, you can find his vitae.

Interests

  • Industrial Statistics
  • Quality Engineering and Management
  • Machine learning and Data mining

Education

  • PhD in Industrial Engineering, 2011

    Georgia Institute of Technology

  • MS in Statistics, 2007

    Georgia Institute of Technology

  • MS in Industrial Engineering, 2007

    Georgia Institute of Technology

  • BSc in Industrial Engineering, 2005

    Yonsei University

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