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] 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).

[2] 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).

[3] 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).

[4] 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).

[5] 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).

[6] 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).

[7] 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.”