Namwoo Kang

Assistant Professor

Korea Advanced Institute of Science and Technology

South Korea

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About

Namwoo Kang is an Assistant Professor at the Korea Advanced Institute of Science and Technology (KAIST) in South Korea. His research areas include generative design optimization, deep learning applications in engineering, and physics-informed neural networks. Recent articles authored by Dr. Kang explore innovative methodologies for multi-objective design frameworks and data-efficient modeling techniques in complex systems.

Articles (16)

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2025

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2025

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2025

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2025

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2024

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2023

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2023

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2022

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2022

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2021

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2020

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2020

Collaborators (2)

Romit Maulik

Assistant Professr

Pennsylvania State University

UNITED STATES

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Kwanjung Yee

Seoul National University

SOUTH KOREA

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Namwoo Kang

Research Interests

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Articles (16)

Multi-objective generative design framework and realization for quasi-serial manipulator: Considering kinematic and dynamic performance

Data-efficient deep operator network for unsteady flow: A multi-fidelity approach with physics-guided subsampling

Three-dimensional deep shape optimization with a limited dataset

Modular Mechanism Design Optimization in Large-Scale Systems with Manufacturing Cost Considerations

Generative AI-driven design optimization: eight key application scenarios

Physics-constrained graph neural networks for spatio-temporal prediction of drop impact on OLED display panels

Vehicle suspension recommendation system: multi-fidelity neural network-based mechanism design optimization

Data-driven physics-informed neural networks: A digital twin perspective

Weighted unsupervised domain adaptation considering geometry features and engineering performance of 3D design data

Shared autonomous electric vehicle system design and optimization under dynamic battery degradation considering varying load conditions

Wheel impact test by deep learning: prediction of location and magnitude of maximum stress

Deep learning-based inverse design for engineering systems: multidisciplinary design optimization of automotive brakes

Multi-scale design optimization of electric vehicles by analytical target cascading: From battery cell level to marketing level

Integrating deep learning into CAD/CAE system: generative design and evaluation of 3D conceptual wheel

Shared autonomous electric vehicle design and operations under uncertainties: a reliability-based design optimization approach

Autonomous Taxi Service Design and User Experience

Collaborators (2)

Romit Maulik

Kwanjung Yee

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