2025.02.26 14:57
Chang-Hyeon Kim
kimchanghyeon@snu.ac.kr | |
Career | 2006.03~2011.08, B.S., Department of Naval Architecture and Ocean Engineering, University of Ulsan, Korea 2011.08~2014.02, M.Sc., Department of Naval Architecture and Ocean Engineering, University of Ulsan, Korea 2013.12~Now, Senior Researcher, HMRI, HD Hyundai Heavy Industries Co., Ltd. 2025.03~Now, Ph.D. Student, Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea |
Research Area | - Hull form design and optimization - Air lubrication system (development, performance, control, test and experiment) |
2025.02.25 12:20
In-Su Han
his0527@snu.ac.kr | |
Career | 2017.03~2023.02, B.S., Department of Naval Architecture and Ocean Engineering, Ulsan University, Korea 2023.03~2025.02, M.Sc. Student, Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea 2025.03~Now, Ph.D. Student, Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea |
Research Area | Deep Learning, NLP (Natural Language Processing) |
2024.03.14 15:52
Ha-Yun Kim
hykim1274@snu.ac.kr | |
Career | 2018.03~2022.02, B.S. Student, Department of Naval Architecture and Marine System Engineering, Pukyong National University, Korea 2022.03~2024.02, M.Sc. Student, Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea 2024.03~Now, Ph.D. Student, Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea |
Research Area | Object Tracking, Deep Learning, Optimization |
2023.11.20 16:13
Han-Sol Kim
doosol@snu.ac.kr | |
Career | 2012.03~2016.08, B.S., School of Design and Human Engineering, Ulsan National Institute of Science and Technology, Korea 2016.08~2018.08, M.Sc., Department of Mechanical Engineering, Ulsan National Institute of Science and Technology, Korea 2018.07~Now, Senior Researcher, HD Korea Shipbuilding & Offshore Engineering, Korea 2023.09~Now, Ph.D. Student, Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea |
Research Area | Autonomous Surveillance System for Onboard Safety Deep Learning for Object Detection |
2023.03.20 14:03
Jeoungyoun Kim
skyblue0807@snu.ac.kr | |
Career | 2007.03~2012.02, B.S. Student, Department of Civil and Environmental Engineering, Seoul National University, Korea 2012.03~2014.02, M.Sc. Student, Department of Civil and Environmental Engineering, Seoul National University, Korea 2014.03~Now, Senior Researcher, Hyundai Heavy Industries Co., Ltd. 2023.03~Now, Ph.D. Student, Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea |
Research Area | Deep Learning for Object Detection and Pattern Recognition Optimization in Piping System |
2023.02.27 16:07
Hyunsoo Kim
zeky98@snu.ac.kr | |
Career | 1998.03~2002.02, B.S. Student, Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea 2003.08~Now, Principle Researcher, Daewoo Shipbuilding and Ocean Engineering Co., Ltd. 2016.10~2017.09, M.Sc. Student, Department of Naval Architecture and Ocean Engineering, University of Strathclyde, UK 2017.09~2018.08, M.Sc. Student, Department of Naval Architecture and Ocean Engineering, Pusan National University, Korea 2023.03~Now, Ph.D. Student, Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea |
Research Area | Data-driven Digital Twin Ship Machine Learning and Deep Learning |
2022.10.21 15:51
In-Chang Yeo
iys02191@snu.ac.kr | |
Career | 2014.03~2020.02, B.S. Student, Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea 2020.03~Now, Ph.D. Student, Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea |
Research Area | Deep Learning in Shipbuilding Autonomous Ship Route Planning |
Publication | * International Journal 1. In-Chang Yeo, Myung-Il Roh, Do-Hyun Chun, Seok Ho Jang, Jae Won Heo, "Optimal Arrangement Design of Pipeline Support by Considering Safety and Production Cost", International Journal of Naval Architecture and Ocean Engineering, 2023.05.10 |
2022.05.31 19:14
Dong-Woo Kim
kd1009@snu.ac.kr | |
Career | 2018.06~Now, Senior Researcher, Hyundai Heavy Industries Co., Ltd. 2022.03~Now, Ph.D. Student, Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea |
Research Area | Optimal Design of LNG CCS Tanks Deep Learning for LNG CCS |
2021.11.08 10:56
Min-Chul Kong
mckong@snu.ac.kr | |
Career | 2013.03~2019.08, B.S., Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea 2019.09~Now, Ph.D. Student, Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea |
Research Area | Digital Twin in Shipbuilding AR/VR for Ships and Offshore Structures Deep learning for object detection Pipe auto-routing |
Publication | * International Journal 3. Min-Chul Kong, Myung-Il Roh, "A Method for Implementing a Ship Navigation Simulator for the Generation and Utilization of Virtual Data", accepted for publication in International Journal of Naval Architecture and Ocean Engineering, 2024.06.25 2. Min-Chul Kong, Myung-Il Roh, Ki-Su Kim, Jongoh Kim, Ju-Sung Kim, Hogyun Park, "Variable Indexing Method in Rule Documents for Ship Design Using Extraction of PDF Elements", Journal of Computational Design and Engineering, 2022.11.16 1. Min-Chul Kong, Myung-Il Roh, Ki-Su Kim, Jeongyoul Lee, Jongoh Kim, Gapheon Lee, "Object Detection Method for Ship Safety Plans Using Deep Learning", Ocean Engineering, 2022.02.15 |
2021.03.04 16:04
Jin-Hyeok Kim
kjin917@snu.ac.kr | |
Career | 2015.03~2019.02, B.S. Student, Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea 2019.03~Now, Ph.D. Student, Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea |
Research Area | Digital Twin in Shipbuilding AR/VR for Ships and Offshore Structures Deep Learning Ship Hull Optimization |
Publication | * International Journal 1. Jin-Hyeok Kim, Myung-Il Roh, Ki-Su Kim, In-Chang Yeo, Min-Jae Oh, Jung-Woo Nam, Sahng-Hyon Lee, Yong-Hun Jang, "Prediction of the Superiority of the Hydrodynamic Performance of Hull Forms Using Deep Learning", International Journal of Naval Architecture and Ocean Engineering, Vol. 49, pp. 100490.1-15, 2022.11.01 2. Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo, "Hull Form Optimization of Fully Parameterized Small Ships Using Characteristic Curves and Deep Neural Networks", International Journal of Naval Architecture and Ocean Engineering, Vol. 16, pp.100596.1-12, 2024.05.08 |
2019.09.17 15:19
Dong-Hun Yu
donghun.yu@snu.ac.kr | |
Career | 2019.09~Now, Ph.D. Candidate, Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea |
Publication | * International Journal 1. Dong-Hun Yu, Myung-Il Roh, "Method for anti-collision path planning using velocity obstacle and A* algorithms for maritime autonomous surface ship", International Journal of Naval Architecture and Ocean Engineering, 2024.02.04 |
2017.02.24 14:01
Sung-Jun Lee
ship99@snu.ac.kr | |
Career | 1999.03~2004.02, B.S., Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea 2004.03~2006.02, M.Sc., Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea 2006.03~Now, Research Engineer, Daewoo Shipbuilding and Marine Engineering 2017.03~Now, Ph.D. Candidate, Department of Naval Architecture and Ocean Engineering, Seoul National University, Korea |
Research Area | Multi-Domain Modeling, Simulation and Control M&S based System Design and Optimization Virtual Reality and User Experience for Shipbuilding Applications |