- 직위
- 조교수
- 박사학위
- Virginia Polytechnic Institute and State University
- 전화번호
- 051-510-2379
- 이메일
- jhchung@pusan.ac.kr
- 연구실
- 지능형 데이터 분석 연구실
- 연구분야
- 인공지능/스마트제조
주요학력:
- 박사: Virginia Polytechnic Institute and State University 산업및시스템공학과 공학박사
- 석사: 한국과학기술원 산업및시스템공학과 석사
- 학사: 한양대학교 산업공학과 학사
수상경력
[1] Finalist for IISE QCRE Division Best Track Paper Competition (2023).
[2] Finalist for ICQSR Data Challenge (2023).
[3] Winner for IISE QCRE Division Data Challenge (2023)
[4] Winner for IISE Manufacturing & Design Division Best Student Paper Award (2022)
[5] Winner for IISE QCRE Division Best Student Paper Award (2022).
[6] Winner for INFORMS Data Mining and Decision Analytics Workshop Poster Competition (2022).
[7] Finalist for INFORMS QSR Data Challenge (2022).
[8] Winner for IISE QCRE/ProcessMiner Data Challenge Competition (2022).
[9] INFORMS Student Chapter Annual Award as a Maga Cum Laude (2022).
[10] ISE Graduate Student Travel Awards, Virginia Tech (2018?2021) & (2022).
[11] Department of Industrial & Systems Engineering Fellowship, Virginia Tech (2017-2018).
[12] National Scholarship, Republic of Korea (2015?2017).
[13] Academic Scholarship in Hanyang University (2013?2014).
논문
[1] J. Chung, and Z.J. Kong. “A Sparse Bayesian Learning for Diagnosis of Nonstationary and Spatially Correlated Faults with Application to Multi-Stage Assembly Systems.” IEEE Transactions on Automation Science and Engineering (2024).
[2] J. Chung, J. Zhang, Y. Liu, A. Saimon, B.N Johnson, and Z.J. Kong. “Imbalanced Spectral Data Analysis using Data Augmentation based on the Generative Adversarial Network.” Scientific Reports (2024).
[3] J. Chung, J. Li, H. Xu, A. Saimon, P. Hong, and Z.J. Kong. “Predicting the Stereoselectivity of Chemical Transformations by the Composite Machine Learning Method.” Scientific Reports (2024).
[4] N.Jordan, J. Chung, Z.J. Kong, and C. Williams. “Ensuring Additive Manufacturing Quality And Cyber-Physical Security Via Side Channel Measurements And Transmissions.” Journal of Manufacturing Systems (2024).
[5] R. Gnanasambandam, B. Shen, J. Chung, X. Yue, and Z.J. Kong. “Self-scalable Tanh (Stan): Accelerated Convergence and Better Generalization of Physics-Informed Neural Networks.” IEEE Transactions on Pattern Analysis and Machine Intelligence (2023).
[6] J. Chung, B. Shen, and Z.J. Kong. “Anomaly Detection in Additive Manufacturing Processes using Supervised Classification with Imbalanced Sensor Data based on Generative Adversarial Network.” Journal of Intelligent Manufacturing (2023).
[7] A.C.C Law, R. Wang, J. Chung, D. Garcia, E. Kucukdger, B.N Johnson, and Z.J. Kong. “Process Parameter Optimization for Reproducible Fabrication of 3D-printed Tissue Scaffold Porosity and Mechanical Properties.” Journal of Intelligent Manufacturing (2023).
[8] J. Chung, B. Shen, and Z.J. Kong. “A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multi-station Assembly Systems.” IISE Transactions (2023).
[9] J. Chung, B. Shen, A.C.C Law and Z.J. Kong. “Reinforcement Learning-based Defect Mitigation for Quality Assurance of Additive Manufacturing.” Journal of Manufacturing Systems (2022).
[10] J. Chung, and H. Kim. “Crime risk maps: a multivariate spatial analysis of crime data,” Geographical analysis (2020).
프로젝트
[1] National Science Foundation, (2022-2023), “MIP: GlycoMIP - Automating the Synthesis of Rationally De?signed Glycomaterials.”
[2] Department of Energy/Clean Energy Smart Manufacturing Innovation Institute (CESMII) (sub-awarded via Honeywell Inc.), (2021-2022), “Smart Thermal Processing.”
[3] Department of Energy/Clean Energy Smart Manufacturing Innovation Institute (CESMII), (2020-2021), “Energy-Efficient Material Processing through Automated Process Monitoring and Controls.”
[4] Office of Naval Research, (2018-2020), “Ensuring Additive Manufacturing Quality and Cyber Physical Se?curity via Side Channel Data Fusion and the Cyber Physical Hash.”
[5] National Research Foundation of Korea, (2015-2016), “Mobile Device User Density Estimation Integrating Different Types of Positioning Data.”
[6] Korea Association of University, (2014-2015), “Recommendation Systems Focused on Schedule Manage?ment.”