Journals Papers
[J6] J.M. Kim, Y. Fang, Q. Zhao, R.B. Sills, and A.A. Ezzat. (2026+). Robust Class-Incremental Learning for Atomic Structure Identification under Thermal Uncertainty (In Preparation).
[J5] Y. Fang, J.M. Kim, Q. Zhao, P. Biswas, J.M. Gonjon, R.B. Sills, and A.A. Ezzat. (2026+). Cross-Temperature Defect Identification in Atomistic Simulations via Multi-Level Domain Alignment (Submitted to Nature Communications).
[J4] J.M. Kim, Y. Fang, Q. Zhao, R.B. Sills, and A.A. Ezzat. (2026+). A Generative-Discriminative Method for Class-Incremental Learning (Submitted to IEEE TNNLS).
[J3] J.M. Kim, Y.B. Guo, A.A. Ezzat, and W.G. Guo. (2026). Distributionally Robust Asynchronous Federated Learning for Anomaly Detection in Laser Powder Bed Fusion, Journal of Manufacturing Systems
[J2] J.M. Kim, A. Manna, A. Roy, and I.K. Moon. (2025). Clustered vehicle routing problem for waste collection with smart operational management approaches, International Transactions in Operational Research
[J1] A. Roy, A. Manna, J.M. Kim, and I.K. Moon. (2022). IoT-based Smart Bin Allocation and Vehicle Routing in Solid Waste Management: A case study in South Korea, Computers & Industrial Engineering
Conference Papers
[C2] J.M. Kim (presenter) and W.G. Guo. (2025). Adaptive Asynchronous Federated Learning with Convolutional Autoencoders in Heterogeneous Systems, IEEE CASE 2025 (LA, USA)
[C1] A. Roy (presenter), A. Manna, J.M. Kim, and I.K. Moon. (2021). Integrated Planning of IoT-based Smart Bin Allocation and Vehicle Routing in Solid Waste Management, Advances in Production Management Systems (Nantes, France)
Patent