Integration of marketing domain and R&D domain in NPD design process. - Namwoo Kang; Junyoung Kim; Yongtae Park (Ind. Manag. Data Syst., 2007)

Multidomain Demand Modeling in Design for Market Systems. - Namwoo Kang (2014)

Generative Design Exploration by Integrating Deep Generative Models and Topology Optimization. - Sangeun Oh; Yongsu Jung; Seongsin Kim; Ikjin Lee; Namwoo Kang (CoRR, 2019)

Form + Function: Optimizing Aesthetic Product Design via Adaptive, Geometrized Preference Elicitation. - Namwoo Kang; Yi Ren; Fred M. Feinberg; Panos Y. Papalambros (CoRR, 2019)

A Study on Anxiety about Using Robo-taxis: HMI Design for Anxiety Factor Analysis and Anxiety Relief Based on Field Tests. - Soyoung Yoo; Sunghee Lee; Seongsin Kim; Eunji Kim; Hwan Hwangbo; Namwoo Kang (CoRR, 2020)

Integrating Deep Learning into CAD/CAE System: Case Study on Road Wheel Design Automation. - Soyoung Yoo; Sunghee Lee; Seongsin Kim; Kwang Hyeon Hwang; Jong Ho Park; Namwoo Kang (CoRR, 2020)

The Effect of Robo-taxi User Experience on User Acceptance: Field Test Data Analysis. - Sunghee Lee; Soyoung Yoo; Seongsin Kim; Eunji Kim; Namwoo Kang (CoRR, 2020)

Generative Design by Reinforcement Learning: Maximizing Diversity of Topology Optimized Designs. - Seowoo Jang; Namwoo Kang (CoRR, 2020)

Idle Vehicle Relocation Strategy through Deep Learning for Shared Autonomous Electric Vehicle System Optimization. - Seongsin Kim; Ungki Lee; Ikjin Lee; Namwoo Kang (CoRR, 2020)

Autonomous Taxi Service Design and User Experience. - Sangwon Kim; Jennifer Jah Eun Chang; Hyun Ho Park; Seon Uk Song; Chang Bae Cha; Ji Won Kim; Namwoo Kang (Int. J. Hum. Comput. Interact., 2020)

Explainable artificial intelligence for manufacturing cost estimation and machining feature visualization. - Soyoung Yoo; Namwoo Kang (Expert Syst. Appl., 2021)

Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs. - Seowoo Jang; Soyoung Yoo; Namwoo Kang (Comput. Aided Des., 2022)

Deep Learning-Based Inverse Design for Engineering Systems: Multidisciplinary Design Optimization of Automotive Brakes. - Seongsin Kim; Minyoung Jwa; Soonwook Lee; Sunghoon Park; Namwoo Kang (CoRR, 2022)

Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude of Maximum Stress. - Seungyeon Shin; Ah-hyeon Jin; Soyoung Yoo; Sunghee Lee; ChangGon Kim; Sungpil Heo; Namwoo Kang (CoRR, 2022)

Adaptive Neural Network Ensemble Using Frequency Distribution. - Ungki Lee; Namwoo Kang (CoRR, 2022)

Safety monitoring system of personal mobility driving using deep learning. - Eunji Kim; Hanyoung Ryu; Hyunji Oh; Namwoo Kang (J. Comput. Des. Eng., 2022)

Performance Comparison of Design Optimization and Deep Learning-based Inverse Design. - Minyoung Jwa; Jihoon Kim; Seungyeon Shin; Ah-hyeon Jin; Dongju Shin; Namwoo Kang (CoRR, 2023)

Adaptive neural network ensemble using prediction frequency. - Ungki Lee; Namwoo Kang (J. Comput. Des. Eng., 2023)

Topology optimization via machine learning and deep learning: a review. - Seungyeon Shin; Dongju Shin; Namwoo Kang (J. Comput. Des. Eng., 2023)

Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective. - Sunwoong Yang; Hojin Kim; Yoonpyo Hong; Kwanjung Yee; Romit Maulik; Namwoo Kang (CoRR, 2024)

Multi-objective Generative Design Framework and Realization for Quasi-serial Manipulator: Considering Kinematic and Dynamic Performance. - Sumin Lee; Sunwoong Yang; Namwoo Kang (CoRR, 2024)

Deep Generative Model-based Synthesis of Four-bar Linkage Mechanisms with Target Conditions. - Sumin Lee; Jihoon Kim; Namwoo Kang (CoRR, 2024)

Deep Generative Design for Mass Production. - Jihoon Kim; Yongmin Kwon; Namwoo Kang (CoRR, 2024)

Learning Design Preferences through Design Feature Extraction and Weighted Ensemble. - Dongju Shin; Sunghee Lee; Namwoo Kang (CoRR, 2024)

Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Prediction. - Jangseop Park; Namwoo Kang (CoRR, 2024)

Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction. - Sunwoong Yang; Ricardo Vinuesa; Namwoo Kang (CoRR, 2024)

DeepJEB: 3D Deep Learning-based Synthetic Jet Engine Bracket Dataset. - Seongjun Hong; Yongmin Kwon; Dongju Shin; Jangseop Park; Namwoo Kang (CoRR, 2024)

Vehicle Suspension Recommendation System: Multi-Fidelity Neural Network-based Mechanism Design Optimization. - Sumin Lee; Namwoo Kang (CoRR, 2024)

AI-powered Digital Twin of the Ocean: Reliable Uncertainty Quantification for Real-time Wave Height Prediction with Deep Ensemble. - Dongeon Lee; Sunwoong Yang; Jae-Won Oh; Su-Gil Cho; Sanghyuk Kim; Namwoo Kang (CoRR, 2024)

Towards Robust Spatio-Temporal Auto-Regressive Prediction: Adams-Bashforth Time Integration with Adaptive Multi-Step Rollout. - Sunwoong Yang; Ricardo Vinuesa; Namwoo Kang (CoRR, 2024)

Point-DeepONet: A Deep Operator Network Integrating PointNet for Nonlinear Analysis of Non-Parametric 3D Geometries and Load Conditions. - Jangseop Park; Namwoo Kang (CoRR, 2024)

Weighted unsupervised domain adaptation considering geometry features and engineering performance of 3D design data. - Seungyeon Shin; Namwoo Kang (Expert Syst. Appl., 2024)

Deep generative model-based synthesis framework of four-bar linkage mechanisms with target conditions. - Sumin Lee; Jihoon Kim; Namwoo Kang (J. Comput. Des. Eng., 2024)

BMO-GNN: Bayesian mesh optimization for graph neural networks to enhance engineering performance prediction. - Jangseop Park; Namwoo Kang (J. Comput. Des. Eng., 2024)

Three-dimensional deep shape optimization with a limited dataset. - Yongmin Kwon; Namwoo Kang (Eng. Appl. Artif. Intell., 2025)

Physics-constrained graph neural networks for spatio-temporal prediction of drop impact on OLED display panels. - Jiyong Kim; Jangseop Park; Nayong Kim; Youn-Yeol Yu; Kiseok Chang; ChangSeung Woo; Sunwoong Yang; Namwoo Kang (Expert Syst. Appl., 2025)

Modular Mechanism Design Optimization in Large-Scale Systems with Manufacturing Cost Considerations. - Sumin Lee; Namwoo Kang (CoRR, 2025)

Physics-Guided Multi-Fidelity DeepONet for Data-Efficient Flow Field Prediction. - Sunwoong Yang; Youngkyu Lee; Namwoo Kang (CoRR, 2025)

Decoupled Dynamics Framework with Neural Fields for 3D Spatio-temporal Prediction of Vehicle Collisions. - Sanghyuk Kim; Minsik Seo; Namwoo Kang (CoRR, 2025)

PyTopo3D: A Python Framework for 3D SIMP-based Topology Optimization. - Jihoon Kim; Namwoo Kang (CoRR, 2025)

DeepWheel: Generating a 3D Synthetic Wheel Dataset for Design and Performance Evaluation. - Soyoung Yoo; Namwoo Kang (CoRR, 2025)