In Gwun Jang 

대학원장 (en)연구분야 > 지능형 모빌리티 기술 (en)연구분야 > 지속가능 모빌리티 기술 (en)연구분야 > 친환경 모빌리티 기술

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F404

Tel

1262

Summary

Research Interest

Multidisciplinary analysis and design optimization for human and vehicular mobility (specifically, patient-specific bone health assessment, wireless power transfer systems, and vehicle routing problems)

Education

  • PhD – Mechanical Engineering, KAIST
  • MS – Mechanical Engineering, KAIST
  • BA – Mechanical Engineering, KAIST

Biography

In Gwun Jang is currently the Department Head of Cho Chun Shik Graduate School of Mobility, KAIST, Daejeon, South Korea. He received a Ph.D. degree in the Department of Mechanical Engineering from KAIST in 2006. He then worked at Queens University, Kingston, Canada as a postdoctoral fellow. He was the Director of Center for Eco-friendly and Smart Vehicles, KAIST, South Korea. He was also the Vice Technical Director of Center for Mobile Harbor, KAIST, South Korea. His expertise covers multidisciplinary analysis and design optimization ranging from the component level to system level. In particular, his current research interest is to develop an innovative optimization method that can conduct design patient-specific bone health assessment, design multi-receiver wireless power transfer systems, and solve vehicle routing problems.

Publication

  • Changwoo Lee and In Gwun Jang, “Topology Optimization Framework for Simultaneously Determining the Optimal Structural Design and Current Phase Angle of the IPMSMs for the MTPA Control,” IEEE Transaction on Industrial Electronics, accepted for publication, 2022.
  • Changwoo Lee, Jaewook Lee, and In Gwun Jang, “Topology Optimization for the Manufacturable and Structurally Safe Synchronous Reluctance Motors with Multiple Iron Webs and Bridges,” IEEE Transaction on Industrial Electronics, accepted for publication, 2022.
  • Jinsu Kim, Jung Jin Kim, and In Gwun Jang, “Integrated topology and shape optimization of the five-spoke steel wheel to improve the natural frequency,” Structural and Multidisciplinary Optimization, vol. 65, 78, 2022.
  • Kyunghwan Choi, Jihye Byun, Sangmin Lee, and In Gwun Jang, “Adaptive Equivalent Consumption Minimization Strategy (A-ECMS) for the HEVs with a Near-Optimal Equivalent Factor Considering Driving Conditions,” IEEE Transactions on Vehicular Technology, vol. 71, no. 3, pp. 2538-2549, 2021.
  • Younghwan Joo, Yonggyun Yu, and In Gwun Jang, “Unit Module-Based Convergence Acceleration for Topology Optimization Using the Spatiotemporal Deep Neural Network,” IEEE Access, vol. 9, pp. 149766-149779, 2021.
  • Jong Ho Kim, Kyunghwan Choi, and In Gwun Jang, “ModelPredictiveControlBased TimeOptimal Trajectory Planning of the Distributed Actuation Mechanism Augmented,” Applied Sciences, 10.3390/app11167513, 2021.
  • Jong Ho Kim, Young June Shin, and In Gwun Jang, “Evaluating the maximum directional kinematic capability of a redundant manipulator based on allowable velocity and force,” IEEE Access, vol. 9, pp. 88085-88097, 2021.
  • Chang Woo Lee and In Gwun Jang, “Topology optimization of multiple-barrier synchronous reluctance motors with initial random hollow circles,” Structural and Multidisciplinary Optimization, vol. 64, pp. 2213-2224, 2021.
  • Sangyoung Yoon, Andreas Schiffer, In Gwun Jang, Sungmun Lee, and TaeYeon Kim, “Predictions of the elastic modulus of trabecular bone in the femoral head and the intertrochanter: a solitary wavebased approach,” Biomechanics and Modeling in Mechanobiology, vol. 20, no. 5, pp. 1733-1749, 2021.
  • Chang Woo Lee and In Gwun Jang, “Shape optimization-based design investigation of the switched reluctance motors regarding the target torque and current limitation,” Structural and Multidisciplinary Optimization, vol. 64, pp. 859-870, 2021.
  • Bong Ju Chun and In Gwun Jang, “Determination of the representative static loads for cyclically repeated dynamic loads: a case study of bone remodeling simulation with gait loads,” Computer Methods and Programs in Biomedicine, vol. 200, 105924, 2021.
  • Jaeeun Yoo, In Gwun Jang, and Ikjin Lee, “Multi-resolution topology optimization using adaptive isosurface variable grouping (MTOP-aIVG) for enhanced computational efficiency”, Structural and Multidisciplinary Optimization, vol. 63, pp. 1743-1766, 2021.
  • Jong Ho Kim and In Gwun Jang, “Optimization-based Investigation of Bioinspired Variable Gearing of the Distributed Actuation Mechanism to Maximize Velocity and Force,” IEEE Robotics and Automation Letters, vol. 5, no.4, pp. 6326-6333, 2020.
  • Sangyoung Yoon, Andreas Schiffer, Jung Jin Kim, In Gwun Jang, Sungmu Lee, Tae-Yeon Kim, “Numerical predictions of the interaction between highly nonlinear solitary waves and the microstructure of trabecular bone in the femoral head,” Journal of the Mechanical Behavior of Biomedical Materials, vol. 109, 103805, 2020.
  • Seung Beop Lee, Mingi Kim, and In Gwun Jang, “Determination of the Optimal Resonant Condition for Multi-receiver Wireless Power Transfer Systems Considering the Transfer Efficiency and Different Rated Powers with Altered Coupling Effects,” IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 9, no. 2, pp. 2384-2393, 2020.
  • Seung Beop Lee and In Gwun Jang, “Coil Layout Optimization for Maximizing the Power Transfer Efficiency of Wireless Power Transfer Systems with Multiple Transmitter Coils,” IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 8, no. 3, pp. 2672-2681, 2019.
  • Young Han Lee, Jung Jin Kim, and In Gwun Jang, “Patient-specific phantomless estimation of bone mineral density and its effects on finite element analysis results: a feasibility study,” Computational and Mathematical Methods in Medicine, vol. 2019, pp. 10, 2019.
  • Yonggyun Yu, Taeil Hur, Jaeho Jung, and In Gwun Jang, “Deep learning for determining a near-optimal topological design without any iteration,” Structural and Multidisciplinary Optimization, Vol. 59, No. 3, pp. 787-799, 2019. 
  • Jung Jin Kim, Jimin Nam and In Gwun Jang, “Computational study of estimating 3D trabecular bone microstructure for the volume of interest from CT scan data,” International Journal for Numerical Methods in Biomedical Engineering, Vol. 34, e2950, 2018. 
  • Jung Jin Kim, Jimin Nam and In Gwun Jang, “Fully automated segmentation of a hip joint using the patient-specific optimal thresholding and watershed algorithm,” Computer Methods and Programs in Biomedicine, Vol. 154, pp. 161-171, 2018. 
  • Seung Beop Lee and In Gwun Jang, “Layout optimization of the receiver coils for multitransmitter wireless power transfer systems,” IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 5, No. 3, pp. 1311-1321, 2017. 
  • Seung Beop Lee, Changwoo Lee, and In Gwun Jang, “Precise determination of the optimal coil for wireless power transfer systems through postprocessing in the smooth boundary representation,” IEEE Transactions on Magnetics, Vol. 53, No. 6, pp. 7201704, 2017. 
  • Seung Beop Lee, Seungyoung Ahn, and In Gwun Jang, “Simulation-based feasibility study on the wireless charging railway system with a ferriteless primary module,” IEEE Transactions on Vehicular Technology, Vol. 66, No. 2, pp. 1004-1010, 2017. 
  • Jung Jin Kim and In Gwun Jang, “Image resolution enhancement for healthy weight-bearing bones based on topology optimization,” Journal of Biomechanics, Vol. 49, pp. 3035-3040, 2016. 
  • Jung Jin Kim and In Gwun Jang, “Estimation of local bone loads for volumes of interest,” Journal of Biomechanical Engineering, Vol. 138, 2016. 
  • Young Han Lee, Youkyung Kim, Jung Jin Kim, and In Gwun Jang, “Homeostasis-based aging model for trabecular changes and its correlation with age-matched bone mineral densities and radiographs,” European Journal of Radiology, Vol. 84, 2261-2268, 2015. 
  • Kitae Jang, Hyungjoo Kim, and In Gwun Jang, “Traffic signal optimization for oversaturated urban networks: queue growth equalization,” IEEE Transactions on Intelligent Transportation Systems, Vol. 16, No. 4, pp. 2121-2128, 2015. 
  • Seung Beop Lee, Seungyoung Ahn, and In Gwun Jang, “Development of the optimization framework for low-power wireless power transfer systems,” IEEE Transactions on Microwave Theory and Techniques, Vol. 63, No. 3, pp. 813-820, 2015. 
  • Young-Keun Kim, Yonghun Kim, In Gwun Jang, Kyung-Soo Kim, and Soohyun Kim, “Structural optimization of a novel 6-DOF pose sensor system for enhancing noise robustness at a long distance,” IEEE Transaction on Industrial Electronics, Vol. 61, No. 10, pp. 5622-5631, 2014. 
  • In Gwun Jang, Kyung Soo Kim, and Byung Man Kwak, “Conceptual and basic designs of the Mobile Harbor crane based on topology and shape optimization,” Structural and Multidisciplinary Optimization, Vol. 50, pp. 505-515, 2014. 
  • Eun Ho Kim, Yun Sub Jung, Yonggyun Yu, Sangwon Kwon, Hanjong Ju, Soohuyn Kim, Byung Man Kwak, In Gwun Jang, and Kyung-Soo Kim, “An advanced cargo handling system operating at sea,” International Journal of Control, Automation and Systems, Vol. 12, No. 4, pp. 852-860, 2014. 
  • Young-Keun Kim, In Gwun Jang, Kyung-Soo Kim, and Soohyun Kim, “Design improvement of the three-beam detector towards a precise long-range 6-degree of freedom motion sensor system,” Review of scientific instruments, Vol. 85, No. 1, pp. 015004_1-8, 2014. 
  • Yong Gyun Yu, In Gwun Jang, and Byung Man Kwak, “Topology optimization for a frequency response and its application to a violin bridge,” Structural and Multidisciplinary Optimization, Vol. 48, No. 3, pp. 627-636, 2013. 
  • Eun Ho Kim, Kyung Woon Kwak, Young Kook Kim, Soohyun Kim, Byung Man Kwak, In Gwun Jang, and Kyung-Soo Kim, “Auto-positioning of sliding planes based on virtual force,” International Journal of Control, Automation, and Systems, Vol. 11, No. 4, pp 798-804, 2013. 
  • Young-Keun Kim, Yonghun Kim, Yun Sub Jung, In Gwun Jang, Kyung-Soo Kim, Soohyun Kim and Byung Man Kwak, “Developing accurate long distance 6-DOF motion detection with 1-D laser sensors: Three-Beam Detection System,” IEEE Transaction on Industrial Electronics, Vol. 60, No. 8, pp. 3386-3395, 2013. 
  • In Gwun Jang, Young Hwa Sung, Eoi Jong Yoo, and Byung Man Kwak, “Pattern design of a non-pneumatic tyre for stiffness using topology optimization,” Engineering Optimization, Vol. 44, No. 2, pp. 119-131, 2012. 
  • Yong Gyun Yu, In Gwun Jang, In Kyum Kim, and Byung Man Kwak, “Nodal line optimization and its application to violin top plate design,” Journal of Sound and Vibration, Vol. 329, No. 22, pp. 4785-4796, 2010. 
  • In Gwun Jang and Il Yong Kim, “Computational study on the effect of loading alteration caused by disc degeneration on the trabecular architecture in human lumbar spine,” Journal of Biomechanics, Vol. 43, No. 3, pp. 492-499, 2010. 
  • In Gwun Jang and Il Yong Kim, “Computational simulation of simultaneous cortical and trabecular bone change in human proximal femur during bone remodeling,” Journal of Biomechanics, Vol. 43, No. 2, pp. 294-301, 2010. 
  • In Gwun Jang and Il Yong Kim, “Application of design space optimization to bone remodeling simulation of trabecular architecture in human proximal femur for higher computational efficiency,” Finite Elements in Analysis and Design, Vol. 46, No. 4, pp. 311-319, 2010. 
  • In Gwun Jang and Il Yong Kim, “Computational simulation of trabecular adaptation progress in human proximal femur during growth,” Journal of Biomechanics, Vol. 42, No. 5, pp. 573-580, 2009. 
  • In Gwun Jang, Il Yong Kim, and Byung Man Kwak, “Analogy of strain energy density based bone-remodeling algorithm and structural topology optimization,” Journal of Biomechanical Engineering – Transactions of the ASME, Vol. 131, No. 1, 011012, 2009. 
  • In Gwun Jang and Il Yong Kim, “Computational study of Wolff’s law with trabecular architecture in the human proximal femur using topology optimization,” Journal of Biomechanics, Vol. 41, No. 11, pp. 2353-2361, 2008. 
  • In Gwun Jang and Byung Man Kwak, “Design space optimization using design space adjustment and refinement,” Structural and Multidisciplinary Optimization, Vol. 35, No. 1, pp. 41-54, 2008. 
  • In Gwun Jang and Byung Man Kwak, “Evolutionary topology optimization using design space adjustment based on fixed grid,” International Journal for Numerical Methods in Engineering, Vol. 66, No. 11, pp. 1817-1840, 2006. 

Awards

  • Young Scientist Award (awardee: Dr. Changwoo Lee), Asian Congress of Structural and Multidisciplinary Optimization, 2022
  • Grand prize (awardee: Hyukjin Koh), Student Competition Award, Korean Society for Mechanical Engineers, 2022
  • Best Paper Award (awardee: Dr. Jong Ho Kim), Korean Society for Mechanical Engineers, 2021
  • Best Paper Award (awardee: Mingi Kim), Korean Institute of Electromagnetic Engineering and Science, 2021
  • 2nd prize, Student Competition Award (awardee: Mingi Kim), IEEE Wireless Power Transfer Conference, 2020
  • Best Paper Award (awardee: Mingi Kim), Korean Society for Mechanical Engineers, 2019
  • Silver prize, Student Competition Award (awardee: Sangmin Sin), Korean Society for Mechanical Engineers, 2019
  • Best Student Paper Award (awardee: Jung Jin Kim), Asian Congress of Structural and Multidisciplinary Optimization, 2018
  • Grand prize, Student Competition Award (awardee: Jung Jin Kim), Korean Society for Mechanical Engineers, 2018
  • Best Paper Award (awardee: Jinsu Kim), Korean Society for Fluid Machinery, 2017
  • Silver prize, Student Competition Award (awardee: Jinsu Kim), Korean Society for Mechanical Engineers, 2016
  • Best Paper Award (awardee: Jung Jin Kim), Korean Society for Design Optimization, 2015
  • Best Student Paper Award (awardee: Seung Beop Lee), IEEE Wireless Power Transfer Conference, 2014
  • Best Paper Award (awardee: Seung Beop Lee), Korean Society for Railway, 2013

Research

Prof. In Gwun Jang’s research focuses on multidisciplinary analysis and design optimization for human and vehicular mobility. Specifically, his current research areas include patient-specific bone health assessment, multi-receiver wireless power transfer systems, and vehicle routing problems, all of which are difficult to solve with conventional schemes. His goal is to propose a novel optimization method that can solve the above challenging issues and develop an innovative system that can provide enhanced mobility to people.

The In Gwun Jang lab takes a system-based approach to understand a given problem and solve the problem from the multidisciplinary viewpoint.

 

Ongoing Research:

Patient-specific bone health assessment

Bones mainly serve as supporting columns which transfer body weight, or levers which permit the various motions of the body. In daily activities, bones are subject to a variety of axial, bending, and torsional loads, and they are adapted to obtain the “maximum” mechanical efficiency with the “minimum” mass. This phenomenon is well known as Wolff’s law. The goal of this research area is to investigate the governing principles of bone metabolism and to apply them to biomechanical and biomedical engineering through implementing design optimization. Biomechanical simulation focuses on the development of computational bone remodeling simulations which phenomenologically estimate bone microstructure alternation. With the help of these techniques, a new resolution enhancement method is proposed to reconstruct high-resolution skeletal images from low-resolution clinical scan data.

 

Multi-receiver wireless power transfer

Electromagnetics is a branch of physics that explores the electric and magnetic phenomena. Maxwell’ equations provide how electric and magnetic fields are generated, propagated, and interacted each other. The goal of this research area is to develop the optimization frameworks for the electromagnetic systems such as wireless power transfer (WPT) and electric motors. For the purpose, it is necessary to set up an appropriate set of design variables and to formulate the objective and constraint functions in terms of the design variables. Through this process, we can determine the optimized design variables to extremize a given objective function (e.g., transfer efficiency) while satisfying all the constraints (e.g., rated power and safety criteria). Electromagnetics and circuit analyses are typically used to investigate the system behavior and to measure various system performances.

 

Vehicle routing

In combinatorial optimization, vehicle routing problems (VRPs) are classified as NP-hard problems, which are very difficult and time-consuming to solve. Hence, there is an ever-growing demand for developing a new method that can provide an optimal (or at least near-optimal) solution for these problems with less computing cost. The goal of this research area is to proposes a novel method that can solve a VRP with a higher computational efficiency. For the purpose, our group utilizes a new loop-wise route representation in which a vehicle route is represented in terms of continuous loop variables and a base route. By using this scheme, we can formulate a gradient-based optimization problem with a reduced number of design variables and constraint functions. This can be applied to various emerging areas in transportation and logistics such as MaaS and delivery service.

Teaching

Prof. In Gwun Jang teaches graduate courses in Cho Chun Shik Graduate School of Mobility: Computational Analysis and Design for Electric Vehicles (GT505) and Green Railway System Engineering (GT640)

Students

Kim Geunwoo

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