| Deep generative design: integration of topology optimization and generative models S Oh, Y Jung, S Kim, I Lee, N Kang Journal of Mechanical Design 141 (11), 111405, 2019 | 510 | 2019 |
| Integrating deep learning into CAD/CAE system: generative design and evaluation of 3D conceptual wheel S Yoo, S Lee, S Kim, KH Hwang, JH Park, N Kang Structural and multidisciplinary optimization 64 (4), 2725-2747, 2021 | 177 | 2021 |
| Autonomous electric vehicle sharing system design N Kang, FM Feinberg, PY Papalambros Journal of Mechanical Design 139 (1), 011402, 2017 | 114 | 2017 |
| Generative design by reinforcement learning: enhancing the diversity of topology optimization designs S Jang, S Yoo, N Kang arXiv preprint arXiv:2008.07119, 2020 | 111 | 2020 |
| Explainable artificial intelligence for manufacturing cost estimation and machining feature visualization S Yoo, N Kang Expert Systems with Applications 183, 115430, 2021 | 98 | 2021 |
| Autonomous taxi service design and user experience S Kim, JJE Chang, HH Park, SU Song, CB Cha, JW Kim, N Kang International Journal of Human–Computer Interaction 36 (5), 429-448, 2020 | 91 | 2020 |
| Decomposition-based design optimization of hybrid electric powertrain architectures: Simultaneous configuration and sizing design AE Bayrak, N Kang, PY Papalambros Journal of Mechanical Design 138 (7), 071405, 2016 | 87 | 2016 |
| Topology optimization via machine learning and deep learning: a review S Shin, D Shin, N Kang Journal of Computational Design and Engineering 10 (4), 1736-1766, 2023 | 74 | 2023 |
| Integrated decision making in electric vehicle and charging station location network design N Kang, FM Feinberg, PY Papalambros Journal of Mechanical Design 137 (6), 061402, 2015 | 59 | 2015 |
| Optimal design of commercial vehicle systems using analytical target cascading N Kang, M Kokkolaras, PY Papalambros, S Yoo, W Na, J Park, ... Structural and Multidisciplinary Optimization 50, 1103-1114, 2014 | 58 | 2014 |
| Design automation by integrating generative adversarial networks and topology optimization S Oh, Y Jung, I Lee, N Kang International design engineering technical conferences and computers and …, 2018 | 50 | 2018 |
| Integration of marketing domain and R&D domain in NPD design process N Kang, J Kim, Y Park Industrial Management & Data Systems 107 (6), 780-801, 2007 | 47 | 2007 |
| Public investment and electric vehicle design: a model-based market analysis framework with application to a USA–China comparison study N Kang, Y Ren, FM Feinberg, PY Papalambros Design Science 2, e6, 2016 | 41 | 2016 |
| Idle vehicle relocation strategy through deep learning for shared autonomous electric vehicle system optimization S Kim, U Lee, I Lee, N Kang Journal of Cleaner Production 333, 130055, 2022 | 39 | 2022 |
| Solving multiobjective optimization problems using quasi-separable MDO formulations and analytical target cascading N Kang, M Kokkolaras, PY Papalambros Structural and Multidisciplinary Optimization 50, 849-859, 2014 | 34 | 2014 |
| Shared autonomous electric vehicle design and operations under uncertainties: a reliability-based design optimization approach U Lee, N Kang, I Lee Structural and Multidisciplinary Optimization 61, 1529-1545, 2020 | 32 | 2020 |
| Selection of optimal target reliability in RBDO through reliability-based design for market systems (RBDMS) and application to electric vehicle design U Lee, N Kang, I Lee Structural and Multidisciplinary Optimization 60 (3), 949-963, 2019 | 25 | 2019 |
| Robustness and real options for vehicle design and investment decisions under gas price and regulatory uncertainties N Kang, AE Bayrak, PY Papalambros Journal of Mechanical Design 140 (10), 101404, 2018 | 25 | 2018 |
| Form+ function: Optimizing aesthetic product design via adaptive, geometrized preference elicitation N Kang, Y Ren, F Feinberg, P Papalambros arXiv preprint arXiv:1912.05047, 2019 | 24 | 2019 |
| Deep learning-based inverse design for engineering systems: multidisciplinary design optimization of automotive brakes S Kim, M Jwa, S Lee, S Park, N Kang Structural and Multidisciplinary Optimization 65 (11), 323, 2022 | 23 | 2022 |
Panos Y. PapalambrosDistinguished University Professor of Mechanical Engineering, University of MichiganE-mail megerősítve itt: umich.edu