Student

Minseok Kang 강민석            I    Ph.D. Candidate

E-mail: seok1598@kaist.ac.kr

Phone: +82-42-350-1282 (Office)

Research group: ESO (WPT)

Personal Information

- M.S.: KAIST, Graduate School of Green Transportation

- B.S.: Korea University of Education and Technology, Mechatronics engineering


- M. Kang, M. Kim, and I. G. Jang, "Determination of the Optimal Load Condition for Multi-receiver Wireless Power Transfer Systems", Asian Congress of Structural and Multidisciplinary Optimization (ACSMO), 2022. 

- M. Kim, M. Kang, and I. G. Jang, "Estimation of the Mutual Inductance in Multi-receiver Wireless Power Transfer Systems", WPTCE, 2023


- 강민석, 김민기, 장인권, "다중수신 무선전력전송 시스템의 전송효율 및 정격용량을 고려한 수신기의 DC/DC 컨버터의 최적 듀티비 결정", 한국전자파학회, 2021.

- 강민석, 김민기, 장인권, "다중수신 무선전력전송 시스템을 위한 최적 부하 조건 결정", 대한기계학회 학술대회, 2022.

- 강민석, 김민기, 조원영, 장인권, "무선 충전을 위한 상호 인덕턴스 추정", 한국ITS학회 2023년 추계학술대회, 2023


- I. G. Jang, M. Kim, and M. Kang, "Real-time approximation method and apparatus of mutual inductance between transmitters and receivers for determining optimal operating condition in multiple-receiver wireless power transfer systems," KR Patent, Application Number: 10-2022-0000986, 2022.  

Hyukjin Koh 고혁진            I    Ph.D. Candidate (LAB Leader)

E-mail: hyukjin.koh@kaist.ac.kr

Phone: +82-42-350-1282 (Office)

Research group: BSO 

Personal Information

- M.S.: KAIST, Graduate School of Green Transportation

- B.S.: GIST, Mechanical Engineering


- H. Koh, I. G. Jang, "Deep learning method for reconstructing trabecular bone from low-resolution images based on the node-link representation", In preparation.

- B. J. Chun, S. M. Sin, H. Koh, J. J. Kim, I. G. Jang, "Patchwise trabecular bone reconstruction of a 2D proximal femur using deep learning and seamless quilting algorithm", In preparation.


- B. J. Chun, H. Koh, I. G. Jang, "Deep learning-based patchwise 3D bone microstructure reconstruction", World Congress of Structural and Multidisciplinary Optimization (WCSMO), 2023

- H. Koh, I. G. Jang, "Bone microstructure reconstruction from low-resolution skeletal images using deep learning with node-link graph-based connectivity", Asian Congress of Structural and Multidisciplinary Optimization (ACSMO), 2022. 


- 고혁진, 김창영, 장인권, "데이터 기반 SKIP-STOP 도시 철도 급행 서비스 최적화: 서울 지하철 4호선의 사례", 한국ITS학회 추계학술대회, 2023.

- 천봉주, 고혁진, 장인권, "딥 러닝을 통한 3차원 골 미세구조의 패치 별 재구성", 대한기계학회 학술대회, 2022.

- 고혁진, 장인권, "노드-링크 그래프 기반 연결성을 고려하는 딥러닝을 이용한 골격계 영상의 골 미세구조 재구성", 대한기계학회 CAE 및 응용역학 부문 춘계학술대회, 2022.

- 고혁진, 장인권, "심층 신경망으로 재구성된 골 미세구조의 구조적 절단 문제를 개선하기 위한 노드-링크 그래프 기반 후처리 방법", 대한기계학회 CAE 및 응용역학 부문 춘계학술대회, 2021.


- I. G. Jang, B. J. Chun, H. Koh, "Method and device for deep learning-based patchwise reconstruction from clinical CT Scan data", EP Patent, Application Number: 23152812.6, 2023.

- I. G. Jang, B. J. Chun, H. Koh, "Method and device for deep learning-based patchwise reconstruction from clinical CT Scan data", US Patent, Application Number: 18101148, 2023.

- I. G. Jang, B. J. Chun, H. Koh, "Method and device for deep learning-based patchwise reconstruction from clinical CT Scan data", PCT Patent, Application Number: PCT/KR2022/020533, 2022.

- I. G. Jang, B. J. Chun, H. Koh, "Method and device for deep learning-based patchwise reconstruction from clinical CT Scan data", KR Patent, Application Number: 10-2022-0127616, 2022.

- I. G. Jang, H. Koh, B. J. Chun, "Computer system for trabecular connectivity recovery of skeletal images reconstructed by artificial neural network through node-link graph-based bone microstructure representation, and method of the same", EP Patent, Application Number: 22151224.7, 2022.

- I. G. Jang, H. Koh, B. J. Chun, "Computer system for trabecular connectivity recovery of skeletal images reconstructed by artificial neural network through node-link graph-based bone microstructure representation, and method of the same", US Patent, Application Number: 17573762, 2022.

- I. G. Jang, H. Koh, B. J. Chun, "Computer system for trabecular connectivity recovery of skeletal images reconstructed by artificial neural network through node-link graph-based bone microstructure representation, and method of the same", PCT Patent, Application Number: PCT/KR2021/018382, 2021.

- I. G. Jang, H. Koh, B. J. Chun, "Computer system for trabecular connectivity recovery of skeletal images reconstructed by artificial neural network through node-link graph-based bone microstructure representation, and method of the same", KR Patent, Application Number: 10-2021-0137093, 2021.


- 천봉주, 고혁진, 장인권, "대한기계학회 2022년도 학술대회 우수논문상", 대한기계학회, 2023

- 고혁진, 장인권, "대한기계학회 CAE 및 응용역학부문 2022년 춘계학술대회 우수논문상", 대한기계학회, 2023. 

- 고혁진 (지도교수: 장인권), "대한기계학회 CAE 및 응용역학부문 2022년 춘계학술대회 학생경진대회 대상", 대한기계학회, 2022. 

Jeonghun Kim 정훈            I    M.S. Candidate

E-mail: jhkim17@kaist.ac.kr

Phone: +82-42-350-1282 (Office)

Research group: MSO

Personal Information

- B.S.: Korea University of Education and Technology, Mechanical engineering


- 김정훈, 김근우, 장인권, "딥러닝을 활용한 루프 기반 최단 경로 탐색 방법", 한국 ITS 학회 추계학술대회, 2023.

- 김성용, 김정훈, 김근우, 장인권, "대중교통 승객 맞춤형 경로 추천을 위한 루프 기반 경로 최적화: 수도권 전철 적용 사례", 한국 ITS 학회 추계학술대회, 2023.


- I. G. Jang, G. Kim, J. Kim, K. Jang, "Optimal path calculation system and method based on loop variables with post processing applied", KR Patent, Application Number: 10-2023-0157983 , 2023.


- Best Paper Award, The Korea Institute of Inteligent Transport Systems, 2023

Wonyeong Jo 조원영            I    M.S. Candidate

E-mail: jwy5195@kaist.ac.kr

Phone: +82-42-350-1282 (Office)

Research group: ESO (WPT)

Personal Information

- B.S.: Pusan National University, Electrical engineering



Changyeong Kim 김창영            I    M.S. Candidate

E-mail: kimcy0789@kaist.ac.kr

Phone: +82-42-350-1282 (Office)

Research group: BSO

Personal Information

- B.S.: Chungnam National University, Mechanical engineering


- 고혁진, 김창영, 장인권, "데이터 기반 SKIP-STOP 도시 철도 급행 서비스 최적화: 서울 지하철 4호선의 사례", 한국ITS학회 추계학술대회, 2023.



Sanghoon Park 박상훈            I    M.S. Candidate

E-mail: sanghoon10233@kaist.ac.kr

Phone: +82-42-350-1282 (Office)

Research group: TBD

Personal Information

- B.S.: Konkuk University, Mechanical engineering