기술경영프로그램
이름
심재웅
전공
데이터마이닝, 머신러닝, 스마트팩토리
TEL
02-970-6485
E-mail
jaewoong@seoultech.ac.kr
연구실
다산관 208호
교수소개 돌아가기
학력
◾ 2021 서울대학교 산업공학과 (데이터마이닝) 박사
◾ 2016 서울대학교 산업공학과 (데이터마이닝) 석사
◾ 2014 서울대학교 산업공학과 학사
주요 경력
◾ (주)알티엠 AI팀 팀장
◾ 삼성전자 메모리사업부 품질보증실 Engineer
연구 분야
◾ 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
담당 교과목
◾ 학부: 데이터마이닝
◾ 대학원: 인공신경망과 딥러닝
저널 논문
◾ Jaewoong Shim, Seokho Kang* (2022), “Domain-Adaptive Active Learning for Cost-effective Virtual Metrology Modeling”, Computers in Industry, 135: 103572.
◾ Jaewoong Shim, Sungzoon Cho*, Euiseok Kum, Suho Jung (2021), “Adaptive Fault Detection Framework for Recipe Transition in Semiconductor Manufacturing”, Computers & Industrial Engineering, 161: 107632.
◾ Jaewoong Shim, Seokho Kang, Sungzoon Cho* (2021), “Active inspection for cost-effective fault prediction in manufacturing process”, Journal of Process Control, 105: 250-258.
◾ Jaewoong Shim, Seokho Kang, Sungzoon Cho* (2021), “Active cluster annotation for wafer map pattern classification in semiconductor manufacturing”, Expert Systems with Applications, 183: 115429.
◾ Jaewoong Shim, Seokho Kang, Sungzoon Cho* (2020), “Active learning of convolutional neural network for cost-effective wafer map pattern classification”, IEEE Transactions on Semiconductor Manufacturing, 33 (2): 258-266.
◾ Seokho Kang, Eunji Kim, Jaewoong Shim, Wonsang Chang, Sungzoon Cho* (2018), “Product failure prediction with missing data”, International Journal of Production Research, 56 (14): 4849-4859.
◾ Seokho Kang, Eunji Kim, Jaewoong Shim, Sungzoon Cho*, Wonsang Chang, Junhwan Kim (2017), “Mining the relationship between production and customer service data for failure analysis of industrial products”, Computers & Industrial Engineering, 106: 137-146
학술대회
◾ Jaewoong Shim, Seokho Kang, Sungzoon Cho, “Kernel rotation forests for classification”, The 1st International Workshop on Conceptual Modeling for Big Data and Smart Computing–2020 IEEE International Conference on Big Data and Smart Computing, Feb 2020, Busan, Korea.
◾ Jaewoong Shim, Seokho Kang, Sungzoon Cho, “Cost-effective construction of convolutional neural network for wafer map pattern classification”, 2019 INFORMS Annual Meeting, Oct 2019, Seattle, WA, USA.
◾ Hyung-Seok Kang, Jaewoong Shim, Kil Soo Kim, Seung Hoon Tong, “Defect classification using ensemble convolutional neural network in semiconductor manufacturing”, 2018 INFORMS Annual Meeting, Nov 2018, Phoenix, AZ, USA.
◾ Jaewoong Shim, Chanwhi Jung, Jinsik Kim, Doh Soon Kwak, Kunhan Kim, Seung Hoon Tong, “Prioritize interaction effects on wafer defects for multistage semiconductor fabrication based on applied association rule mining”, 2018 INFORMS Annual Meeting, Nov 2018, Phoenix, AZ, USA.
◾ Jaewoong Shim, Seokho Kang, Sungzoon Cho, "Active inspection for cost-effective fault prediction in manufacturing process", 2019 Fall Conference of Korean Institute of Industrial Engineers (KIIE), Nov 2019, Seoul, Korea.
◾ Jaewoong Shim, Seokho Kang, Sungzoon Cho, "Active learning of convolutional neural networks for cost-effective wafer map pattern classification", 2019 Spring Conference of Korean Institute of Industrial Engineers (KIIE), Apr 2019, Gwangju, Korea.
◾ Seokho Kang, Eunji Kim, Jaewoong Shim, Sungzoon Cho, “Identifying the cause of product defects using after-sales service data”, 2015 Fall Conference of Korea Data Mining Society (KDMS), Nov 2015.
◾ Jaewoong Shim, Sungzoon Cho, “Expanding Minority Area: Oversampling method in imbalanced data classification”, 2015 Spring Conference of Korea Business Intelligence Data Mining Society (KDMS), April 2015.
◾ Jaewoong Shim, Eunji Kim, Seokho Kang, Sungzoon Cho, "Hybrid approach with centroid based classification and SVM for multi-class text classification", 2014 Fall Conference of Korea Business Intelligence Data Mining Society (KDMS), Nov 2014.
◾ Jaewoong Shim, Seokho Kang, Sungzoon Cho, "Improving the accuracy of rotation forest using kernel PCA", 2014 Spring Joint Conference of Korean Institute of Industrial Engineers (KIIE), May 2014.
연구프로젝트
◾ 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
담당자 : 기술경영프로그램
전화번호 : 02-970-6488
공유하기 :   icon icon icon    
출력하기
copyright(c) SEOUL NATIONAL UNIVERSITY OF SCIENCE AND TECHNOLOGY. All rights resesrved
대학/대학원
공과대학공과대학기계시스템디자인공학과기계·자동차공학과기계공학 프로그램자동차공학 프로그램안전공학과신소재공학과건설시스템공학과건축학부-건축공학전공건축학부-건축학전공건축기계설비공학과정보통신대학정보통신대학전기정보공학과전자IT미디어공학과전자공학 프로그램IT미디어공학프로그램컴퓨터공학과에너지바이오대학에너지바이오대학화공생명공학과환경공학과식품공학과정밀화학과스포츠과학과안경광학과조형대학조형대학디자인학과산업디자인전공시각디자인전공도예학과금속공예디자인학과조형예술학과인문사회대학인문사회대학행정학과영어영문학과문예창작학과기초교육학부어학교육기술경영융합대학기술경영융합대학산업공학과(산업정보시스템전공)산업공학과(ITM전공)MSDE학과경영학과(경영학전공)경영학과(글로벌테크노경영전공)데이터사이언스학과미래융합대학미래융합대학융합공학부(융합기계공학전공)융합공학부(건설환경융합전공)융합사회학부(헬스피트니스전공)융합사회학부(문화예술전공)융합사회학부(영어전공)융합사회학부(벤처경영전공)창의융합대학창의융합대학인공지능응용학과지능형반도체공학과미래에너지융합학과대학원일반대학원산업대학원주택도시대학원철도전문대학원IT 정책전문대학원나노IT디자인융합대학원융합과학대학원