Publications

For the most up-to-date list, see Google Scholar. * denotes the corresponding author.

International Journal

  1. AutoATC: Automated Analytical Target Cascading Decomposition with LLM-Based Multi-Agent System.

    Park, J., & Kang, N.*

    Under review, 2026.

  2. LLM-Guided Adaptive Penalty Parameter Updates for Analytical Target Cascading.

    Park, J., & Kang, N.*

    Under review, 2026.

  3. Point-DeepONet: Predicting Nonlinear Fields on Non-Parametric Geometries under Variable Load Conditions.

    Park, J., & Kang, N.*

    Neural Networks, 108560, 2026.

    PDF Code Dataset

  4. Physics-constrained Graph Neural Networks for Spatio-temporal Prediction of Drop Impact on OLED Display Panels.

    Kim, J., Park, J., Kim, N., Yu, Y., Chang, K., Woo, C. S., Yang, S., & Kang, N.*

    Expert Systems with Applications, 126907, 2025.

    PDF

  5. DeepJEB: 3D Deep Learning-Based Synthetic Jet Engine Bracket Dataset.

    Hong, S., Kwon, Y., Shin, D., Park, J., & Kang, N.*

    Journal of Mechanical Design, 147(4), 2025.

    PDF Dataset

  6. BMO-GNN: Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Prediction.

    Park, J., & Kang, N.

    Journal of Computational Design and Engineering, 11(6), 260–271, 2024.

    PDF Code Dataset

  7. How to Measure the Network Vulnerability of Cities to Wildfires: Cases in California, USA.

    Yun, J., Lee, J., Park, J., Chung, K., & Lee, J.*

    Transportation Research Record, 2676(12), 382–395, 2022.

    PDF

International Conference

  1. LLM-Guided Adaptive Penalty Parameter Updates for Analytical Target Cascading.

    Park, J., & Kang, N.*

    Asian Congress of Structural and Multidisciplinary Optimization (ACSMO) 2026.

  2. A PointNet-Enhanced Deep Operator Network for Nonlinear Analysis of Non-Parametric 3D Geometries Under Varying Load Conditions.

    Park, J., & Kang, N.*

    The 16th World Congress of Structural and Multidisciplinary Optimization (WCSMO), ISSMO, 2025.

  3. Design Optimization of OLED Display Panels for Drop Impact Resistance Using a Graph Neural Network.

    Kim, J., Park, J., Yang, S., & Kang, N.*

    The 26th International Congress of Theoretical and Applied Mechanics (ICTAM 2024).

  4. Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Prediction.

    Park, J., & Kang, N.*

    ASME IDETC/CIE 2023.

  5. How to Apply AI to Real-World Design Problems.

    Park, J., & Kang, N.*

    ASME IDETC/CIE 2023.

  6. How to Measure the Vulnerability of Cities to Wildfires: Cases in California.

    Yun, J., Lee, J. Y., Park, J., Chung, K., & Lee, J.*

    Transportation Research Board (TRB) 101st Annual Meeting, 2022.

Domestic Conference

  1. DialogCAD: Interactive CAD Generation Framework with a Multi-Agent System via Model Context Protocol.

    Park, J., & Kang, N.*

    The Korean Society of Mechanical Engineers (KSME), 2025.

  2. A Study on 3D Topology Optimization Shape Reconstruction with CSG-Based Deep Learning.

    Park, J., Kim, J., Jang, W., Lee, Y., Lee, S., & Kang, N.*

    The Korean Society of Mechanical Engineers (KSME), 2025.

  3. SG-DeepONet: A Spatial Gradient-Aware Deep Operator Network for Pressure and Shear Stress Prediction in Vehicle Aerodynamic Analysis.

    Park, J., & Kang, N.*

    The Korean Society of Mechanical Engineers (KSME), 2025.

  4. Stress Field Prediction in Nonlinear Static Analysis for Arbitrary 3D Geometries Using Latent-DeepONet.

    Park, J., & Kang, N.*

    The Korean Society of Mechanical Engineers (KSME), 2024.

  5. DeepJEB: 3D Deep Learning-based Synthetic Jet Engine Bracket Dataset.

    Hong, S., Kwon, Y., Shin, D., Park, J., & Kang, N.*

    The Korean Society of Mechanical Engineers (KSME), 2024.

  6. 3D Field Prediction and Uncertainty Quantification with Implicit Neural Representation.

    Shin, D., Park, J., Seo, M., & Kang, N.*

    The Korean Society of Mechanical Engineers (KSME), 289–290, 2024.

  7. A Study on Impact Analysis based on Graph Neural Networks for Optimization of the Display Panel Structure.

    Park, J., Kim, J., Yu, Y., Kim, N., Ha, S., Jang, K., & Kang, N.*

    The Korean Society of Mechanical Engineers (KSME), 144–145, 2023.

  8. Bayesian Mesh Optimization for Graph Neural Networks.

    Park, J., & Kang, N.*

    The Korean Society of Mechanical Engineers (KSME), 1626–1628, 2022.

  9. Preliminary Study on 3D Wheel Performance Prediction Using Graph Neural Networks. Best Paper

    Park, J., Shin, D., Yoo, S., & Kang, N.*

    The Korean Society of Mechanical Engineers (KSME), 316–317, 2022.

  10. How to Measure the Vulnerability of Cities to Wildfires, Cases in California.

    Yun, J., Lee, J., Park, J., Chung, K., & Lee, J.*

    Korean Society of Transportation, 436–437, 2021.

  11. Development of Express Accident Risk Index (ex-ARI) for Identifying Hotspots.

    Mok, H., Park, J., Lee, J., Han, D., & Kim, D.*

    The Korean Society of Civil Engineers (KSCE), 57–58, 2021.

  12. Establishment of Traffic Safety Measures based on Accident Risk Index (ex-ARI), Cases in Dangjin–Yeongdeok Expressway.

    Mok, H., Lee, J., Han, D., Park, J., & Kim, D.*

    The Korean Society of Civil Engineers (KSCE), 506–507, 2021.

  13. Identifying Fatal and Severe Accident Hotspots based on Multiple Safety Performance Measures. Best Paper

    Park, J., Kim, D., Mok, H., Han, D., & Lee, J.*

    The Korean Society of Civil Engineers (KSCE), 49–50, 2021.

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