2025
27. HS Choi, MJ Jung, SH Han, H Yang, S Han, JG Kim, Comparative Analysis of Neural Network-Based and Data-Driven Methodologies for Long-Time Extrapolation in Multibody Dynamics, 12th Eccomas Multibody Dynamics, July 13-18, 2025, Innsbruck, Austria
26. S Jo, S Han, JG Kim, SS Kim, Investigating Subsystem Synthesis Method for Real-Time Multibody Dynamics, 12th Eccomas Multibody Dynamics, July 13-18, 2025, Innsbruck, Austria
25. 윤상화, 한성지, Wire-Driven Flexible Robot의 강화학습 기반 제어의 수치적 연구, 한국기계가공학회 2025 춘계학술대회, 2025.05.07-2025.05.09, 여수 (Excellent Poster Award)
24. 김민준, 한석희, 한성지, 길병식, 정홍연, 김창주, 김진균, 공작기계 성능 예측을 위한 인공신경망 기반 메타모델 기술개발, 대한기계학회 동역학·제어·로봇 부문 2025 춘계학술대회, 2025.04.22-2025.04.27, 제주
23. 양현석, 한성지, 송성혁, 박동일, 이재영, 김진균, 차세대 모빌리티를 위한 모핑휠 로봇의 다물체동역학 시뮬레이션 모델 개발과 장애물 주파 해석, 대한기계학회 동역학·제어·로봇 부문 2025 춘계학술대회, 2025.04.22-2025.04.27, 제주
22. 조성민, 한성지, 김진균, 김성수, 다물체 동역학을 위한 부분 시스템 합성 방법에 대한 연구, 대한기계학회 동역학·제어·로봇 부문 2025 춘계학술대회, 2025.04.22-2025.04.27, 제주
21. 함준식, 최지우, 김용훈, 한성지, NN 기반 타이어 모델을 이용한 Adaptive Model Predictive Control 기법의 자율주행 성능 분석, 대한기계학회 동역학·제어·로봇 부문 2025 춘계학술대회, 2025.04.22-2025.04.27, 제주
20. S Han, G Orzechowski, M Wojtyra, JG Kim, A Mikkola, Hybrid Friction Modeling In Mechanical Systems, DTE & AICOMAS 2025, February 17-21, 2025, Paris, France.
2024
19. H Yang, S Han, SH Song, DI Park, JY Lee, JG Kim, Improvement of Contact Mechanism Between Links of the Morphing Wheel to Reduce Computational Cost (컴퓨터 계산 부하를 줄이는 모핑휠 링크 간 접촉 방식 개선), KSME Conference, November 6-9, 2024, Jeju, Republic of Korea.
18. YH Kim, JH Han, S Han, SS Kim, MH Kim, JB Han, Real-time Simulations for Robot Arm with Hydraulic Actuator with Non-iterative Implicit Integrator, The 11th Asian Conference on Multibody Dynamics 2024 (ACMD2024), August 25-29, 2024, Suwon, Gyeonggi-do, Republic of Korea.
17. HS Choi, HB Lee, S Han, JG Kim, Accurate Modeling of Impulsive Dynamics Using a Differential Propagating Scheme in Neural Networks, The 11th Asian Conference on Multibody Dynamics 2024 (ACMD2024), August 25-29, 2024, Suwon, Gyeonggi-do, Republic of Korea.
16. MJ Jung, SH Han, S Han, JG Kim, Physics-informed Neural Networks with Multibody Dynamics examples, The 11th Asian Conference on Multibody Dynamics 2024 (ACMD2024) August 25-29, 2024, Suwon, Gyeonggi-do, Republic of Korea.
15. S Han, G Orzechowski, JG Kim, A Mikkola, A Study on Data-Driven Surrogate Modeling for Friction Force in a Hydraulic Actuator Using Deep Neural Networks, The 7th International Conference on Multibody System Dynamics, June 9-13, 2024, Madison, WI, USA.
~ 2023
14. S Han, HS Choi, SI Jang, J Choi, JG Kim, JH Choi, A Study on the Data-Driven Modeling and Simulation Technique for Multibody Dynamics Systems using Deep Neural Networks, AeroNDT2023, 2023, 6-8 Nov, Busan, Republic of Korea.
13. SI Jang, J Choi, S Han, JG Kim, JH Choi, System Identification Network with Deep Neural Networks Metamodel for Dynamic System, KSME Conference, 1-3 Nov, Songdo, Republic of Korea.
12. S Han, G Orzechowski, JG Kim, A Mikkola, A Data-Driven Metamodeling Technique for Friction Force in Hydraulic Actuators, 2023 KSME Conference, 1-3 Nov, Songdo, Republic of Korea.
11. HB Lee, S Han, HS Choi, JG Kim, Meta-modeling of Nonlinear Impulsive Dynamics Using Composite Neural Network Model with Differential Propagation, KSME Conference, 2023, Republic of Korea.
10. HB Lee, S Han, HS Choi, JG Kim, Composite neural network framework for learning impulsive dynamic responses, IMAC-XLI, Feb 13-16, 2023, Austin, TX, USA.
9. S Han, HS Choi, J Choi, JH Choi, JG Kim, An efficient DNN-based Data-Driven Modeling algorithm for the Real-Time Flexible Multibody dynamics, 5th World Congress on Computational Mechanics (WCCM-XV) and 8th Asian Pacific Congress on Computational Mechanics (APCOMVIII), 31 July – 5 August 2022, Yokohama, Japan.
8. S Han, HS Choi, J Choi, JH Choi, JG Kim, A Study of Deep Neural Network based Data-driven Modeling for Real-time Flexible Multibody Dynamics Simulation, IMSD-ACMD2020, New Delhi, India, Oct. 16-20, 2022.
7. YG Kim, S Han, JB Han, TK Yeu, JG Kim, Particle Method and Multi-body Dynamics based Co-simulation for Marine Robot of Deep-sea Mining, KSME Conference, 2021, Republic of Korea.
6. S Han, HS Choi, J Choi, JH Choi, JG Kim, A study of DNN-based metamodeling technique for the real-time flexible multibody dynamics simulations, 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN2021), 27-30 June 2021, Athens, Greece.
5. S Han, HS Choi, J Choi, JH Choi, JG Kim, A study of efficient DNN meta-model training technique for real-time flexible multibody dynamics simulations, 2020 KSME conference, December 16-19, Republic of Korea.
4. S Han, HS Choi, J Choi, JH Choi, JG Kim, Study of deep neural network-based meta-modeling method for real-time flexible multibody dynamics simulation, KSME Joint Symposium on Dynamics & Control (E-CONFERENCE), July, 23-24, 2020.
3. JY O, S Han, JH Choi, JH Lee, Dynamic modeling and hard-point optimization of MacPherson Strut Suspension, 6th Korea-Japan Joint Symposium on Dynamics & Control, Seoul, Republic of Korea, May 2019.
2. S Han, JG Kim, J Choi, JH Choi, Automated coordinate reduction for flexible multibody dynamics, 6th Korea-Japan Joint Symposium on Dynamics & Control, Seoul, Korea, May 2019
1. S Han, JG Kim, J Choi, JH Choi, Development of a new reduced flexible interface for RecurDyn to consider accurate modal information, Proceedings of the 2018 International Conference on Engineering Tribology and Applied Technology (ICETAT2018), Taipei, Taiwan, Nov. 16-18, 2018.