Data Analytics Lab
Sungil Kim (김성일)
- Professor, Department of Industrial Engineering
- Department of Industrial Engineering ↗
- Graduate School of Artificial Intelligence ↗
- UNIST ↗
- Office · Bldg. 112, Rm. 301-8
- Tel · +82-52-217-3195
- Email · sungil.kim@unist.ac.kr
01Biography
Dr. Sungil Kim is a Professor in the Department of Industrial Engineering at UNIST. He focuses on modern challenges in quality engineering in the era of AI, such as sensor drift, inefficient data representation, and class imbalance, leveraging sensor and real-time log data to deliver practical, field-ready solutions.
02Research
RESEARCH FIELDS
- System Monitoring & Anomaly Detection
- Sequential Learning
- Neural Differential Equations
- Uncertainty Quantification
- AI in Quality Engineering
RESEARCH TOPICS
- Industrial Statistics and Data Analytics
- Quality Engineering and Management
- Response Surface Methodology
- Demand Forecasting
- Machine Learning and Data Mining
- Business Analytics
03Career & Education
Career
- 2026 —ProfessorDepartment of Industrial Engineering, UNIST
- 2026 — 2028Outside DirectorKakao Impact Foundation
- 2025 —Director, Industry Intelligentization InstituteUNIST
- 2024 —Head, Department of Industrial EngineeringUNIST
- 2020 — 2026Associate ProfessorUNIST
- 2016 — 2020Assistant ProfessorUNIST
- 2014 — 2016Senior EngineerSamsung SDS
- 2011 — 2013ConsultantTerra Technology
Education
- 2011Ph.D., Industrial & Systems EngineeringGeorgia Institute of Technology
- 2007M.S., StatisticsGeorgia Institute of Technology
- 2007M.S., Industrial & Systems EngineeringGeorgia Institute of Technology
- 2005B.Sc., Industrial EngineeringYonsei University
04Patents
01Human activity recognition through hybrid fusion of dynamic and static data (10-2932931, 2026)
02Apparatus for generating target gas detection model based on CNN learning (10-2811004, 2025)
03Method of anomaly detection of vessels applying Bayesian bootstrap (10-2534357, 2023)
05Awards · Honors · Memberships
- Area Editor (Statistics, Quality, Reliability & Maintenance), Computers & Industrial Engineering
- Senior Member, INFORMS
- 2024 IISE Best Paper Competition Finalist, Data Analytics and Information Systems Division
- 2023 Excellence in Mentoring Award, College of Information and Biotechnology, UNIST
- 2021 IISE Best Paper Award, Logistics and Supply Chain Division
- 2019 IISE Best Paper Award, Quality Control & Reliability Engineering Division