Data Analytics Lab

데이터 애널리틱스 연구실

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데이터 애널리틱스 연구실

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.

Major research field

System Monitoring & Anomaly Detection, Sequential Learning, Large-scale Calibration, and Uncertainty Quantification

Desired field of research

Artificial Intelligence in Quality Engineering

Research Keywords and Topics

Industrial Statistics and Data Analytics; Quality Engineering and Management; Response surface
methodology; Demand forecasting; Machine learning and Data mining; Business Analytics

Research Publications
MORE

• JuYeong Lee, JiIn Kwak, YongKyung Oh and Sungil Kim (2023), Quantifying Incident Impacts and Identifying Influential Factors on Urban Traffic Networks, Transportmetrica B: Transport Dynamics, 11(1), pp 279-300.
• Sungil Kim* (2021), Maximum feasibility estimation, Information Sciences, 575, pp 739-801.
• Sungil Kim, Rong Duan, Guang-Qin Ma, and Heeyoung Kim* (2020), Multiresolution spatial generalized linear mixed model for integrating multi-delity spatial count data without common identiers between data sources, Spatial Statistics, 39, 100467.
• Sungil Kim (2019), Revealing household characteristics using connected home products, Information Sciences, 486, pp 52-61.
• Sungil Kim, Heeyoung Kim, and Yongro Park (2017), Early detection of vessel delays using combined historical and real-time information, Journal of the Operational Research Society, 68(2), pp 182-191.

Patents

• Kim, Sungil (primary inventor), Method of anomaly detection of vessels applying Bayesian bootstrap. (10-2534357, granted May 16, 2023)
• Kim, Sungil (primary inventor), Sensor drift compensation method and device. (10-2364019, granted February 14, 2022)
• Kim, Sungil (primary inventor), Method and apparatus for determining delay possibility of shipment. (10-2250354, granted May 4, 2021)

국가과학기술표준분류

  • SC. 경제/경영
  • SC09. 생산관리
  • SC0904. 품질관리

국가기술지도분류

  • 정보-지식-지능화 사회 구현
  • 012300. 인공지능/지능로봇 기술

녹색기술분류

  • 녹색기술관련 과제 아님

6T분류

  • IT 분야
  • 정보처리 시스템 및 S/W
  • 010316. 기타 정보처리시스템 및 S/W 기술