Curriculum Vitae
Kim, Gyeong Hyun
PROFILE
‣ Ph.D. KAIST Candidate
‣ M.S. KAIST [2022]
‣ B.S. Korea Univ [2020]
‣ Research Interest
- RL-based control
CONTACT
E-mail_rmggjb@kaist.ac.kr
Phone_+82-42-350-5229
Fax_+82-42-350-3210
Gyeonghyun Kim (김경현; 金俓賢)
Philosophiæ Doctor degree student
in Department of Mechanical Engineering, Mobile: (+82)-10-4878-4951
Korea Advanced Institute of Science and Technology, E-mail: rmggjb@kaist.ac.kr
Daejeon 34141, Republic of Korea Homepage: http://rslab.kaist.ac.kr
Research Interests
Reinforcement learning-based soft robot control, Vision based stiffer region specification
Education
Ph.D. Student Mechanical Engineering, Korea Advanced Institute of Science and Technology
M.S. Degree Mechanical Engineering, Korea Advanced Institute of Science and Technology Feb. 18, 2022.
B.S. Degree Mechanical Engineering, Korea University, Feb. 25, 2020.
Publications
Domestic Conferences
[1] 김경현, 김청준, 이두용, “강성이 다른 연조직을 구분하는 시각기반 방법,” 2021년도 대한기계학회 바이오공학부문 춘계학술대회논문집, 2021년 4월, pp. 89
Gyeonghyun Kim, Cheongjun Kim, and Doo Yong Lee, “Vision-based Identification of soft tissues with different stiffness,” in proceedings of Korean Society of Mechanical Engineers(KMSE) Conference bioengineering division, Apr. 2021., pp. 89
[2] 김경현, 이두용, “간 종양과 유사한 쇼어 강도를 가지는 실리콘의 영률 측정,” 2022년도 대한기계학회 바이오공학부문 춘계학술대회논문집, 2022년 4월, pp. 78
Gyeonghyun Kim and Doo Yong Lee, “Measurement of Young's Modulus of Silicone with Shore Hardness Similar to Liver Tumor,” in proceedings of Korean Society of Mechanical Engineers(KMSE) Conference bioengineering division, Apr. 2022., pp. 78
[3] 김경현, 이두용, “이종 영계수 영역의 위치 추정용 변형 영상 합성곱 신경망의 최적 커널 크기,” 2022년도 제어로봇시스템학회 국내 학술대회 학술대회논문집, 2022년 6월, pp. 321-322
Gyeonghyun Kim and Doo Yong Lee, “Optimal Kernel Size of Convolutional Neural Network Using Deformation Imaging to Estimate Position of Zone of Different Young’s Modulus,” in proceedings of Institute Control, Robotics and Systems(ICROS) Conference, Jun. 2022., pp. 321-322
Participated Research Projects
1. Haptic Feedback Method for Surgical Robots by Machine Learning of Differences between Mar. 2020 – Present
High and Low Element-Density Deformation Models, and Real-Time Simulation
- Advisor: Prof. Doo Yong Lee (KAIST)
- Supporter: National Research Foundation of Korea (NRF, Korea)
Technical Skills
Programming Languages: C++, MFC, MATLAB/Simulink, Python/Pytorch
CAD Program: SolidWorks