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Namwoo Kang

Korea Advanced Institute of Science and Technology · Engineering

About the Lab

Professor Namwoo Kang's research lab specializes in sustainable mobility systems, focusing on the integration of electric and autonomous vehicle technologies with smart infrastructure. The lab investigates system-level optimization of shared mobility services, including autonomous electric vehicle (AEV) fleet design, charging station deployment, and powertrain configuration. Key research directions include mitigating range anxiety through cooperative business models between automakers and charging network operators, and enhancing user-centered design for imperfect self-driving technologies. The lab also emphasizes integrated product development frameworks that bridge marketing, R&D, and engineering to accelerate the adoption of green transportation solutions.

autonomous vehicleselectric vehicle infrastructureshared mobilitypowertrain optimizationrange anxiety

Research Overview

Papers
122
Total Citations
1,958
Papers (5y)
68
Primary Field
Engineering

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
68total
2022
2023
2024
2025
2026
Citations per year (5y)
496total
20222023202420252026

Selected Papers

15
1
Article|166 citations·2021
Integrating deep learning into CAD/CAE system: generative design and evaluation of 3D conceptual wheel
Soyoung Yoo, Sung‐Hee Lee, Seongsin Kim, Kwang Hyeon Hwang, Jongho Park, Namwoo Kang
SJR Q1Structural and Multidisciplinary Optimization
Industrial and Manufacturing EngineeringEngineering
2
Article|114 citations·2022
Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs
Seowoo Jang, Soyoung Yoo, Namwoo Kang
SJR Q1Computer-Aided DesignOA
Civil and Structural EngineeringEngineering
3
Article|97 citations·2021
Explainable artificial intelligence for manufacturing cost estimation and machining feature visualization
Soyoung Yoo, Namwoo Kang
SJR Q1Expert Systems with Applications
Industrial and Manufacturing EngineeringEngineering
4
Article|85 citations·2016
Autonomous Electric Vehicle Sharing System Design
Namwoo Kang, Fred M. Feinberg, Panos Y. Papalambros
SJR Q1Journal of Mechanical Design

Car sharing services promise “green” transportation systems. Two vehicle technologies offer marketable, sustainable sharing: autonomous vehicles (AVs) eliminate customer requirements for car pick-up and return, and battery electric vehicles entail zero emissions. Designing an autonomous electric vehicle (AEV) fleet must account for the relationships among fleet operations, charging station (CS) operations, electric powertrain performance, and consumer demand. This paper presents a system design

Automotive EngineeringEngineering
5
Article|67 citations·2016
Decomposition-Based Design Optimization of Hybrid Electric Powertrain Architectures: Simultaneous Configuration and Sizing Design
Alparslan Emrah Bayrak, Namwoo Kang, Panos Y. Papalambros
SJR Q1Journal of Mechanical Design

Effective electrification of automotive vehicles requires designing the powertrain's configuration along with sizing its components for a particular vehicle type. Employing planetary gear (PG) systems in hybrid electric vehicle (HEV) powertrain architectures allows various architecture alternatives to be explored, including single-mode architectures that are based on a fixed configuration and multimode architectures that allow switching power flow configuration during vehicle operation. Previous

Automotive EngineeringEngineering
6
Article|62 citations·2019
Autonomous Taxi Service Design and User Experience
Sangwon Kim, Jennifer Jah Eun Chang, Hyun Ho Park, Seon Uk Song, Chang Bae, Ji Won Kim, Namwoo Kang
SJR Q1International Journal of Human-Computer Interaction

As autonomous-vehicle technologies advance, conventional taxi and car-sharing services are being combined into a shared autonomous vehicle service, and through this, it is expected that the transition to a new paradigm of shared mobility will begin. However, before the full development of technology, it is necessary to accurately identify the needs of the service’s users and prepare customer-oriented design guidelines accordingly. This study is concerned with the following problems: (1) How shou

Automotive EngineeringEngineering
7
Article|59 citations·2024
Data-driven physics-informed neural networks: A digital twin perspective
Sunwoong Yang, Hojin Kim, Yoonpyo Hong, Kwanjung Yee, Romit Maulik, Namwoo Kang
SJR Q1Computer Methods in Applied Mechanics and Engineering
Statistical and Nonlinear PhysicsPhysics and Astronomy
8
Article|47 citations·2014
Optimal design of commercial vehicle systems using analytical target cascading
Namwoo Kang, Michael Kokkolaras, Panos Y. Papalambros, Seung-Won Yoo, Wookjin Na, Jong‐Chan Park, Dieter Featherman
SJR Q1Structural and Multidisciplinary Optimization
Fluid Flow and Transfer ProcessesChemical Engineering
9
Article|45 citations·2015
Integrated Decision Making in Electric Vehicle and Charging Station Location Network Design
Namwoo Kang, Fred M. Feinberg, Panos Y. Papalambros
SJR Q1Journal of Mechanical Design

A major barrier in consumer adoption of electric vehicles (EVs) is “range anxiety,” the concern that the vehicle will run out of power at an inopportune time. Range anxiety is caused by the current relatively low electric-only operational range and sparse public charging station (CS) infrastructure. Range anxiety may be significantly mitigated if EV manufacturers and CS operators work in partnership using a cooperative business model to balance EV performance and CS coverage. This model is in co

Electrical and Electronic EngineeringEngineering
10
Article|39 citations·2021
Idle vehicle relocation strategy through deep learning for shared autonomous electric vehicle system optimization
Seongsin Kim, Ungki Lee, Ikjin Lee, Namwoo Kang
SJR Q1Journal of Cleaner ProductionOA
Automotive EngineeringEngineering
11
Article|35 citations·2016
Public investment and electric vehicle design: a model-based market analysis framework with application to a USA–China comparison study
Namwoo Kang, Yi Ren, Fred M. Feinberg, Panos Y. Papalambros
SJR Q1Design ScienceOA

Governments encourage use of electric vehicles (EV) via regulation and investment to minimize greenhouse gas (GHG) emissions. Manufacturers produce vehicles to maximize profit, given available public infrastructure and government incentives. EV public adoption depends not only on price and vehicle attributes, but also on EV market size and infrastructure available for refueling, such as charging station proximity and recharging length and cost. Earlier studies have shown that government investme

Electrical and Electronic EngineeringEngineering
12
Article|32 citations·2020
Probabilistic analytical target cascading using kernel density estimation for accurate uncertainty propagation
Yongsu Jung, Jong‐Min Lee, Mingyu Lee, Namwoo Kang, Ikjin Lee
SJR Q1Structural and Multidisciplinary Optimization
Statistics, Probability and UncertaintyDecision Sciences
13
Article|29 citations·2019
Shared autonomous electric vehicle design and operations under uncertainties: a reliability-based design optimization approach
Ungki Lee, Namwoo Kang, Ikjin Lee
SJR Q1Structural and Multidisciplinary Optimization
Automotive EngineeringEngineering
14
Article|28 citations·2014
Solving multiobjective optimization problems using quasi-separable MDO formulations and analytical target cascading
Namwoo Kang, Michael Kokkolaras, Panos Y. Papalambros
SJR Q1Structural and Multidisciplinary Optimization
Statistics, Probability and UncertaintyDecision Sciences
15
Article|25 citations·2007
Integration of marketing domain and R&D domain in NPD design process
Namwoo Kang, Junyoung Kim, Yongtae Park
SJR Q1Industrial Management & Data Systems

Purpose To solve the trade‐offs between marketing and R&D domains and to minimize information loss in new product development (NPD), this study proposes an integrated design process as a new solution to the interface system between the two domains. Design/methodology/approach House of Quality integrated with multivariate statistical analysis is used for determining important design features. These design features are used as parameters for conjoint analysis and Taguchi method, and then the r

Social PsychologyPsychology

Research Areas

Automotive EngineeringCivil and Structural EngineeringElectrical and Electronic EngineeringIndustrial and Manufacturing EngineeringMechanical EngineeringStatistical and Nonlinear Physics

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