| Name | Jaewoong Shim |
|---|---|
| Position | professor |
| Tel | +82-2-970-6485 |
| jaewoong@seoultech.ac.kr |
Biography |
|---|
| ◾ 2021 Ph.D., Industrial Engineering, Seoul National University (Data Mining)
◾ 2016 M.S., Industrial Engineering, Seoul National University (Data Mining) ◾ 2014 B.S., Industrial Engineering, Seoul National University |
Careers |
| ◾ AI team lead, RTM
◾ Engineer, Quality Assurance, Memory Business, Samsung Electronics |
Research Areas |
| ◾ Machine learning and deep learning techniques including
- Anomaly detection - Cost-effective learning - Active learning - Adaptive learning - Explainable model ◾ Real-world applications - Fault detection and diagnosis for manufacturing systems - Quality control - Fraud detection - Health care |
Journal Papers |
| - Domain-adaptive active learning for cost-effective virtual metrology modeling, Computers in industry, vol.135, 2022 - Adaptive fault detection framework for recipe transition in semiconductor manufacturing, Computers & industrial engineering, vol.161, 2021 - Active inspection for cost-effective fault prediction in manufacturing process, Journal of process control, vol.105 pp.250~258, 2021 - Active cluster annotation for wafer map pattern classification in semiconductor manufacturing, Expert systems with applications, vol.183, 2021 - Active Learning of Convolutional Neural Network for Cost-Effective Wafer Map Pattern Classification, IEEE transactions on semiconductor manufacturing, vol.33 No.2 pp.258~266, 2020 |
Conference Papers |
| - 이성호, 심재웅, Robust Target Tracking using TDOA Probabilistic Image, SAS 논문 경진대회, 부경대학교 대연캠퍼스, 2022 |
Projects |
| ◾ Nov 2019 ~ Jul 2020, Data-driven Diagnosis and Fault Prediction using Machine Learning, Samsung Electronics
◾ Oct 2019 ~ Apr 2020, The Development of Intelligent Diagnostic Technology to Enhance Quality of Convertor, Hyundai Motor ◾ Nov 2018 ~ May 2019, Data Analysis of Driving Pattern for Advanced Driver Assistance System, Hyundai Motor ◾ Apr 2015 ~ Aug 2015, Data Mining Process for Quality Management of Home Appliances, Samsung Electronics ◾ Jul 2014 ~ Jun 2015, Data Mining-based Intelligent Process Control System for Semiconductor Manufacturing, Samsung Electronics ◾ Jan 2014 ~ Jun 2014, Data Analysis to Understanding Students in College for Efficient Academic Management, Office of Information System & Technology, Seoul National University |