Journals

• [J6] J.M. Kim, Y. Fang, Q. Zhao, R. Sills, and A. Aziz Ezzat*. (2026+). Robust Class-Incremental Learning for Atomic Structure Identification under Thermal Uncertainty (In Preparation).

• [J5] Y. Fang, J.M. Kim, Q. Zhao, R. Sills, and A. Aziz Ezzat*. (2026+). Cross-Temperature Defect Identification in Atomistic Simulations via Multi-Level Domain Alignment (In Preparation).

• [J4] J.M. Kim, Y. Fang, Q. Zhao, R. Sills, and A. Aziz Ezzat*. (2026+). A Generative-Discriminative Method for Class-Incremental Learning (Submitted to IEEE TNNLS).

• [J3] J.M. Kim, Y.B. Guo, A. Aziz Ezzat,  and WG. Guo*. (2026). Distributionally Robust Asynchronous Federated Learning for Anomaly Detection in Laser Powder Bed Fusion, Journal of Manufacturing Systems, LINK 

• [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, LINK 

• [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, LINK 

Conferences

• [C2] J.M. Kim (presenter) and WG. Guo*. (2025). Adaptive Asynchronous Federated Learning with Convolutional Autoencoders in Heterogeneous Systems, IEEE CASE 2025 (LA, USA), LINK

• [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), LINK 

* Corresponding author