Publications

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* Corresponding author

Under Review / In Preparation

  1. Agentic AI Framework for Kinematic–Dynamic Co-Design of Modular Robot Manipulators.

    Park, J., & Kang, N.*

    In preparation, 2026.

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

    Park, J., & Kang, N.*

    Under review, 2026.

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

    Park, J., & Kang, N.*

    Under review, 2026.

International Journal

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

    Park, J., & Kang, N.*

    Neural Networks, 108560, 2026.

    IF 7.2JCR Q1
    PDF Code Dataset

  2. 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.

    IF 7.5JCR Q1
    PDF

  3. 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.

    IF 3.3JCR Q2
    PDF Dataset

  4. 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.

    IF 6.8JCR Q1
    PDF Code Dataset

  5. 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.

    IF 2.2JCR Q3
    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. Agentic AI Framework for Kinematic–Dynamic Co-Design of Modular Robot Manipulators.

    Park, J., Oh, D., & Kang, N.*

    The Computational Structural Engineering Institute of Korea (COSEIK), 2026.

  2. A Data-Driven Framework for Railway Track Condition Assessment Using the Analytic Hierarchy Process.

    Cho, Y., Park, J., & Kang, N.*

    The Korean Society of Mechanical Engineers (KSME), 2026.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. Bayesian Mesh Optimization for Graph Neural Networks.

    Park, J., & Kang, N.*

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

  11. 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.

  12. 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.

  13. Development of Express Accident Risk Index (ex-ARI) for Identifying Hotspots. Best Paper

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

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

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

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

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

  15. Identifying Fatal and Severe Accident Hotspots based on Multiple Safety Performance Measures.

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

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