About Me
I'm interested in exploring the impact of digital technologies on business models and strategies, and driving innovation through data. My focus is on applying advanced ML/DL techniques, particularly in time-series analysis, to develop domain-specific architectures while solving impactful, real-world problems across diverse industries.
Research Interests
- Digital technologies & business model transformation
- Data-driven innovation & strategy development
- Time-series analysis & predictive modeling
- Advanced ML/DL techniques for domain-specific architectures
- Cross-industry applications in manufacturing, healthcare, and beyond
Milestones
-
2023.02
–
M.S. in Industrial Engineering
Ulsan National Institute of Science and Technology (UNIST)
Data Analytics Lab
-
2025.02
– 2025.07
Visiting Researcher
Georgia Institute of Technology (Georgia Tech)
Wearable Intelligent Systems and Healthcare (WISH) Center
Collaboration with Bio-Interfaced Translational Nanoengineering Group (BITN Lab)
Conferences
- Hyejin Cho, Seungsu Kam, Chanbeom Hur, and Sungil Kim, “Assessing user retention of Updatable home appliance”, Institute of Industrial and Systems Engineers, Atlanta GA, USA (May. 2025) - Oral
- Hyejin Cho, Seungsu Kam, Byeonghoon Jeon, Geumyong Lee, and Sungil Kim, “Addressing Spatial Gaps in XCO2 Monitoring: A Machine Learning Approach for South Korea”, Korean Institute of Industrial Engineers, Seoul, Korea (Oct. 2024) - Oral
- Hyejin Cho, Seungsu Kam, Chanbeom Hur, and Sungil Kim, “Statistical modeling methodology for user engagement measurement based on appliance usage data”, Korean Institute of Industrial Engineers, Yeosu, Korea (May. 2024) - Oral
- Byungkook Koo, Hyejin Cho, Yongmin Kim, and Sungil Kim, “Early Fault Detection in Refrigerator Compressors Using Unlabeled Sensor Data”, Korean Institute of Industrial Engineers, Ulsan, Korea (Nov. 2023) - Oral